var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"bib\":\"https://api.zotero.org/groups/2254223/items?key=Bbol5AZSx3A5fDcmq91mfOKd&format=bibtex&limit=100\",\"jsonp\":\"1\",\"host\":\"bibbase.org\"},\n      data: [{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Detroit, MI, USA\",\"title\":\"Energy Savings Impact of Eco-Driving Control Based on Powertrain Characteristics in Connected and Automated Vehicles On-Track Demonstrations\",\"shorttitle\":\"Energy Savings Impact of Eco-Driving Control Based on Powertrain Characteristics in Connected and Automated Vehicles\",\"url\":\"https://anl.box.com/s/cshs9q2hzlo56i6c0g81gohf6mkk7qm8\",\"doi\":\"10.4271/2024-01-2606\",\"abstract\":\"This research investigates the energy savings achieved through eco-driving controls in connected and automated vehicles (CAVs), with a specific focus on the influence of powertrain characteristics. Eco-driving strategies have emerged as a promising approach to enhance efficiency and reduce environmental impact in CAVs. However, uncertainty remains about how the optimal strategy developed for a specific CAV applies to CAVs with different powertrain technologies, particularly concerning energy aspects. To address this gap, on-track demonstrations were conducted using a Chrysler Pacifica CAV equipped with an internal combustion engine (ICE), advanced sensors, and vehicle-to-infrastructure (V2I) communication systems, compared with another CAV, a previously studied Chevrolet Bolt electric vehicle (EV) equipped with an electric motor and battery. The implemented control is a universal speed planner that solves the eco-driving optimal-control problem within a receding-horizon framework, utilizing V2I communications for signal phase and timing information. The controller calculates accelerator and brake pedal positions using the vehicle’s state and real-time environmental information. Both the Pacifica, target vehicle, and the Bolt, EV, are equipped with a drive-by-wire system. The experiments encompass five road scenarios repeated three times, covering a 3.7-km track with various stop signs, traffic signals, and speed limits. Three control calibrations are employed to represent human-driver-like, non-connected automated, and V2I-connected driving. First and foremost, the results demonstrate functional eco-driving controls with no extreme acceleration or traffic law violations in the Pacifica (ICE vehicle). Energy savings of up to 6% without connectivity and up to 22% with V2I connectivity are achieved in the ICE vehicle as well. Additionally, a comparison is made between an ICE vehicle and an EV to analyze the energy-saving impacts of eco-driving controls across different powertrain characteristics. In conclusion, this study emphasizes the significance of correlating powertrain design with controls and eco-driving strategies during the development of CAVs.\",\"language\":\"English\",\"urldate\":\"2024-04-23\",\"booktitle\":\"SAE Technical Paper\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Jeong\"],\"firstnames\":[\"Jongryeol\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kandaswamy\"],\"firstnames\":[\"Elangovan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Dudekula\"],\"firstnames\":[\"Ahammad\",\"Basha\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Naber\"],\"firstnames\":[\"Jeffrey\"],\"suffixes\":[]}],\"month\":\"April\",\"year\":\"2024\",\"note\":\"ISSN: 0148-7191, 2688-3627\",\"keywords\":\"Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control, XIL Testing\",\"bibtex\":\"@inproceedings{jeong_energy_2024,\\n\\taddress = {Detroit, MI, USA},\\n\\ttitle = {Energy {Savings} {Impact} of {Eco}-{Driving} {Control} {Based} on {Powertrain} {Characteristics} in {Connected} and {Automated} {Vehicles} {On}-{Track} {Demonstrations}},\\n\\tshorttitle = {Energy {Savings} {Impact} of {Eco}-{Driving} {Control} {Based} on {Powertrain} {Characteristics} in {Connected} and {Automated} {Vehicles}},\\n\\turl = {https://anl.box.com/s/cshs9q2hzlo56i6c0g81gohf6mkk7qm8},\\n\\tdoi = {10.4271/2024-01-2606},\\n\\tabstract = {This research investigates the energy savings achieved through eco-driving controls in connected and automated vehicles (CAVs), with a specific focus on the influence of powertrain characteristics. Eco-driving strategies have emerged as a promising approach to enhance efficiency and reduce environmental impact in CAVs. However, uncertainty remains about how the optimal strategy developed for a specific CAV applies to CAVs with different powertrain technologies, particularly concerning energy aspects. To address this gap, on-track demonstrations were conducted using a Chrysler Pacifica CAV equipped with an internal combustion engine (ICE), advanced sensors, and vehicle-to-infrastructure (V2I) communication systems, compared with another CAV, a previously studied Chevrolet Bolt electric vehicle (EV) equipped with an electric motor and battery. The implemented control is a universal speed planner that solves the eco-driving optimal-control problem within a receding-horizon framework, utilizing V2I communications for signal phase and timing information. The controller calculates accelerator and brake pedal positions using the vehicle’s state and real-time environmental information. Both the Pacifica, target vehicle, and the Bolt, EV, are equipped with a drive-by-wire system. The experiments encompass five road scenarios repeated three times, covering a 3.7-km track with various stop signs, traffic signals, and speed limits. Three control calibrations are employed to represent human-driver-like, non-connected automated, and V2I-connected driving. First and foremost, the results demonstrate functional eco-driving controls with no extreme acceleration or traffic law violations in the Pacifica (ICE vehicle). Energy savings of up to 6\\\\% without connectivity and up to 22\\\\% with V2I connectivity are achieved in the ICE vehicle as well. Additionally, a comparison is made between an ICE vehicle and an EV to analyze the energy-saving impacts of eco-driving controls across different powertrain characteristics. In conclusion, this study emphasizes the significance of correlating powertrain design with controls and eco-driving strategies during the development of CAVs.},\\n\\tlanguage = {English},\\n\\turldate = {2024-04-23},\\n\\tbooktitle = {{SAE} {Technical} {Paper}},\\n\\tauthor = {Jeong, Jongryeol and Kandaswamy, Elangovan and Dudekula, Ahammad Basha and Han, Jihun and Karbowski, Dominik and Naber, Jeffrey},\\n\\tmonth = apr,\\n\\tyear = {2024},\\n\\tdoi = {10.4271/2024-01-2606},\\n\\tnote = {ISSN: 0148-7191, 2688-3627},\\n\\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control, XIL Testing},\\n}\\n\\n\",\"author_short\":[\"Jeong, J.\",\"Kandaswamy, E.\",\"Dudekula, A. B.\",\"Han, J.\",\"Karbowski, D.\",\"Naber, J.\"],\"key\":\"jeong_energy_2024\",\"id\":\"jeong_energy_2024\",\"bibbaseid\":\"jeong-kandaswamy-dudekula-han-karbowski-naber-energysavingsimpactofecodrivingcontrolbasedonpowertraincharacteristicsinconnectedandautomatedvehiclesontrackdemonstrations-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/cshs9q2hzlo56i6c0g81gohf6mkk7qm8\"},\"keyword\":[\"Connected and Automated Vehicles\",\"DOE SMART\",\"RoadRunner\",\"Vehicle control\",\"XIL Testing\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Testing Cellular Vehicle-to-Everything Communication Performance and Feasibility in Automated Vehicles\",\"url\":\"https://anl.box.com/s/z3an9l7kcc2apymn2w1avols9rhzq3xz\",\"booktitle\":\"Accepted for presentation at the 35th IEEE Intelligent Vehicles Symposium\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Liang\"],\"firstnames\":[\"Zhaohui\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Li\"],\"firstnames\":[\"Xiaopeng\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ma\"],\"firstnames\":[\"Chengyuan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2024\",\"bibtex\":\"@inproceedings{liang_testing_2024,\\n\\ttitle = {Testing {Cellular} {Vehicle}-to-{Everything} {Communication} {Performance} and {Feasibility} in {Automated} {Vehicles}},\\n\\turl = {https://anl.box.com/s/z3an9l7kcc2apymn2w1avols9rhzq3xz},\\n\\tbooktitle = {Accepted for presentation at the 35th {IEEE} {Intelligent} {Vehicles} {Symposium}},\\n\\tauthor = {Liang, Zhaohui and Han, Jihun and Li, Xiaopeng and Karbowski, Dominik and Ma, Chengyuan and Rousseau, Aymeric},\\n\\tmonth = jun,\\n\\tyear = {2024},\\n}\\n\\n\",\"author_short\":[\"Liang, Z.\",\"Han, J.\",\"Li, X.\",\"Karbowski, D.\",\"Ma, C.\",\"Rousseau, A.\"],\"key\":\"liang_testing_2024\",\"id\":\"liang_testing_2024\",\"bibbaseid\":\"liang-han-li-karbowski-ma-rousseau-testingcellularvehicletoeverythingcommunicationperformanceandfeasibilityinautomatedvehicles-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/z3an9l7kcc2apymn2w1avols9rhzq3xz\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Human Driver Interaction with Eco-Speed Advisory System in Connected Vehicles: Simulation and Experimental Results\",\"booktitle\":\"Presented at the 103rd Transportation Research Board (TRB) Annual Meeting\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ard\"],\"firstnames\":[\"Tyler\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wang\"],\"firstnames\":[\"Rongyao\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gupta\"],\"firstnames\":[\"Prakhar\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vahidi\"],\"firstnames\":[\"Ardalan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jia\"],\"firstnames\":[\"Yunyi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]}],\"month\":\"January\",\"year\":\"2024\",\"keywords\":\"DOE SMART, Ecodriving, RoadRunner\",\"bibtex\":\"@inproceedings{han_human_2024,\\n\\ttitle = {Human {Driver} {Interaction} with {Eco}-{Speed} {Advisory} {System} in {Connected} {Vehicles}: {Simulation} and {Experimental} {Results}},\\n\\tbooktitle = {Presented at the 103rd {Transportation} {Research} {Board} ({TRB}) {Annual} {Meeting}},\\n\\tauthor = {Han, Jihun and Ard, Tyler and Wang, Rongyao and Gupta, Prakhar and Vahidi, Ardalan and Jia, Yunyi and Karbowski, Dominik},\\n\\tmonth = jan,\\n\\tyear = {2024},\\n\\tkeywords = {DOE SMART, Ecodriving, RoadRunner},\\n}\\n\\n\",\"author_short\":[\"Han, J.\",\"Ard, T.\",\"Wang, R.\",\"Gupta, P.\",\"Vahidi, A.\",\"Jia, Y.\",\"Karbowski, D.\"],\"key\":\"han_human_2024\",\"id\":\"han_human_2024\",\"bibbaseid\":\"han-ard-wang-gupta-vahidi-jia-karbowski-humandriverinteractionwithecospeedadvisorysysteminconnectedvehiclessimulationandexperimentalresults-2024\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"DOE SMART\",\"Ecodriving\",\"RoadRunner\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Impact of Advanced Technologies on Energy Consumption of Advanced Electrified Medium-duty Vehicles\",\"url\":\"https://anl.box.com/s/dr1ye4jzxeppi3rin2mt6wcqsp8d4rwh\",\"doi\":\"10.4271/2023-01-0196\",\"abstract\":\"The National Highway Traffic Safety Administration (NHTSA) has been leading the responsibilities related to the rulemaking process of Corporate Average Fuel Economy (CAFE) standards. Argonne National Laboratory (ANL), a U.S. Department of Energy (DOE) national laboratory, has developed a full-vehicle simulation tool named Autonomie. Autonomie has become one of the industry standard tools for analyzing vehicle performance, energy consumption and technology effectiveness. Through Inter Agency Agreement (IAA), the DOE Argonne Site Office (ASO), Argonne National Laboratory (ANL), have been tasked in conducting full vehicle simulation to support NHTSA CAFE rulemaking. For CAFE analysis, more than 10 thousand vehicle combinations are simulated across different heavy-duty pickup and vans (HDPUV) classes. This wide range of vehicle combinations consists of different vehicle powertrains combined with various component performances. The purpose of this paper was to study the performance and energy consumption of electrified powertrains simulated for the Notice of Proposed Rulemaking (NPRM) runs that has been published in 2023.\",\"language\":\"English\",\"booktitle\":\"SAE Technical Paper 2024-01-2453\",\"publisher\":\"SAE International\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Kim\"],\"firstnames\":[\"Namdoo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Islam\"],\"firstnames\":[\"Ehsan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vijayagopal\"],\"firstnames\":[\"Ram\"],\"suffixes\":[]}],\"month\":\"April\",\"year\":\"2024\",\"keywords\":\"Autonomie, DOE Anlysis, MD vehicle\",\"bibtex\":\"@inproceedings{kim_impact_2024,\\n\\ttitle = {Impact of {Advanced} {Technologies} on {Energy} {Consumption} of {Advanced} {Electrified} {Medium}-duty {Vehicles}},\\n\\turl = {https://anl.box.com/s/dr1ye4jzxeppi3rin2mt6wcqsp8d4rwh},\\n\\tdoi = {10.4271/2023-01-0196},\\n\\tabstract = {The National Highway Traffic Safety Administration (NHTSA) has been leading the responsibilities related to the rulemaking process of Corporate Average Fuel Economy (CAFE) standards. Argonne National Laboratory (ANL), a U.S. Department of Energy (DOE) national laboratory, has developed a full-vehicle simulation tool named Autonomie. Autonomie has become one of the industry standard tools for analyzing vehicle performance, energy consumption and technology effectiveness. Through Inter Agency Agreement (IAA), the DOE Argonne Site Office (ASO), Argonne National Laboratory (ANL), have been tasked in conducting full vehicle simulation to support NHTSA CAFE rulemaking. For CAFE analysis, more than 10 thousand vehicle combinations are simulated across different heavy-duty pickup and vans (HDPUV) classes. This wide range of vehicle combinations consists of different vehicle powertrains combined with various component performances. The purpose of this paper was to study the performance and energy consumption of electrified powertrains simulated for the Notice of Proposed Rulemaking (NPRM) runs that has been published in 2023.},\\n\\tlanguage = {English},\\n\\tbooktitle = {{SAE} {Technical} {Paper} 2024-01-2453},\\n\\tpublisher = {SAE International},\\n\\tauthor = {Kim, Namdoo and Islam, Ehsan and Vijayagopal, Ram},\\n\\tmonth = apr,\\n\\tyear = {2024},\\n\\tkeywords = {Autonomie, DOE Anlysis, MD vehicle},\\n}\\n\\n\",\"author_short\":[\"Kim, N.\",\"Islam, E.\",\"Vijayagopal, R.\"],\"key\":\"kim_impact_2024\",\"id\":\"kim_impact_2024\",\"bibbaseid\":\"kim-islam-vijayagopal-impactofadvancedtechnologiesonenergyconsumptionofadvancedelectrifiedmediumdutyvehicles-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/dr1ye4jzxeppi3rin2mt6wcqsp8d4rwh\"},\"keyword\":[\"Autonomie\",\"DOE Anlysis\",\"MD vehicle\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Component Sizing Optimization Based on Technological Assumptions for Medium-duty Electric Vehicles\",\"url\":\"https://anl.box.com/s/po64nu82w3dxaj3fgo3aq0ctjg4wpmu6\",\"doi\":\"10.4271/2023-01-0196\",\"abstract\":\"In response to the stipulations of the Energy Policy and Conservation Act and the global momentum toward carbon mitigation, there has been a pronounced tightening of fuel economy standards for manufacturers. This stricter regulation is coupled with an accelerated transition to electric vehicles, catalyzed by advances in electrification technology and a decline in battery cost. Improvements in the fuel economy of medium- and heavy-duty vehicles through electrification are particularly noteworthy. Estimating the magnitude of fuel economy improvements that result from technological advances in these vehicles is key to effective policymaking. In this research, we generated vehicle models based on assumptions regarding advanced transportation component technologies and powertrains to estimate potential vehicle-level fuel savings. We also developed a systematic approach to evaluating a vehicle’s fuel economy by calibrating the size of the components to satisfy performance requirements. We used Autonomie, a high-fidelity vehicle modeling and simulation tool developed by Argonne National Laboratory, integrating Pattern Search solvers to optimize component sizing based on our assumptions. Pattern Search, a direct-method numerical optimization algorithm, is widely used in a variety of applications. The method requires extensive evaluation and iteration but provides good optimization performance for the computational cost. This paper presents the potential energy savings for a medium-duty electric vehicle determined using both rule-based and optimized component sizing.\",\"language\":\"English\",\"booktitle\":\"SAE Technical Paper 2024-01-2450\",\"publisher\":\"SAE International\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Park\"],\"firstnames\":[\"Dohyun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jung\"],\"firstnames\":[\"Jaekwang\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kim\"],\"firstnames\":[\"Namwook\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Islam\"],\"firstnames\":[\"Ehsan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kim\"],\"firstnames\":[\"Namdoo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vijayagopal\"],\"firstnames\":[\"Ram\"],\"suffixes\":[]}],\"month\":\"April\",\"year\":\"2024\",\"keywords\":\"Autonomie, DOE Anlysis, MD vehicle\",\"bibtex\":\"@inproceedings{park_component_2024,\\n\\ttitle = {Component {Sizing} {Optimization} {Based} on {Technological} {Assumptions} for {Medium}-duty {Electric} {Vehicles}},\\n\\turl = {https://anl.box.com/s/po64nu82w3dxaj3fgo3aq0ctjg4wpmu6},\\n\\tdoi = {10.4271/2023-01-0196},\\n\\tabstract = {In response to the stipulations of the Energy Policy and Conservation Act and the global momentum toward carbon mitigation, there has been a pronounced tightening of fuel economy standards for manufacturers. This stricter regulation is coupled with an accelerated transition to electric vehicles, catalyzed by advances in electrification technology and a decline in battery cost. Improvements in the fuel economy of medium- and heavy-duty vehicles through electrification are particularly noteworthy. Estimating the magnitude of fuel economy improvements that result from technological advances in these vehicles is key to effective policymaking. In this research, we generated vehicle models based on assumptions regarding advanced transportation component technologies and powertrains to estimate potential vehicle-level fuel savings. We also developed a systematic approach to evaluating a vehicle’s fuel economy by calibrating the size of the components to satisfy performance requirements. We used Autonomie, a high-fidelity vehicle modeling and simulation tool developed by Argonne National Laboratory, integrating Pattern Search solvers to optimize component sizing based on our assumptions. Pattern Search, a direct-method numerical optimization algorithm, is widely used in a variety of applications. The method requires extensive evaluation and iteration but provides good optimization performance for the computational cost. This paper presents the potential energy savings for a medium-duty electric vehicle determined using both rule-based and optimized component sizing.},\\n\\tlanguage = {English},\\n\\tbooktitle = {{SAE} {Technical} {Paper} 2024-01-2450},\\n\\tpublisher = {SAE International},\\n\\tauthor = {Park, Dohyun and Jung, Jaekwang and Kim, Namwook and Islam, Ehsan and Kim, Namdoo and Vijayagopal, Ram},\\n\\tmonth = apr,\\n\\tyear = {2024},\\n\\tkeywords = {Autonomie, DOE Anlysis, MD vehicle},\\n}\\n\\n\",\"author_short\":[\"Park, D.\",\"Jung, J.\",\"Kim, N.\",\"Islam, E.\",\"Kim, N.\",\"Vijayagopal, R.\"],\"key\":\"park_component_2024\",\"id\":\"park_component_2024\",\"bibbaseid\":\"park-jung-kim-islam-kim-vijayagopal-componentsizingoptimizationbasedontechnologicalassumptionsformediumdutyelectricvehicles-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/po64nu82w3dxaj3fgo3aq0ctjg4wpmu6\"},\"keyword\":[\"Autonomie\",\"DOE Anlysis\",\"MD vehicle\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Simulation-Based Assessment of Energy Consumption of Alternative Powertrains in Agricultural Tractors\",\"url\":\"https://anl.box.com/s/2mxxia0o4zz42314m9zt0hj6mn80ixdn\",\"doi\":\"https://doi.org/10.3390/wevj15030086\",\"abstract\":\"The objectives of this research were to develop simulation models for agricultural tractors with different powertrain technologies and evaluate the energy consumption in typical agricultural operations. Simulation models were developed for conventional, parallel hybrid electric, series hybrid electric, fuel cell hybrid, and battery electric powertrains. Autonomie vehicle simulation software (version 2022) was used for the simulations and the tractor models were simulated in two tilling cycles and in a road transport cycle with a trailer. The alternative powertrains were configured to have at least the same tractive performance as the conventional, diesel engine-powered tractor model. The simulation results showed that the potential of the parallel and series hybrid powertrains to improve energy efficiency depends heavily on the tractor size and the operating cycle conditions. The fuel cell hybrid and battery electric powertrains have a higher potential to reduce energy consumption and emissions but still have inherent technical challenges for practical operation. The battery-powered electric tractor would require improvements in the storage energy density to have a comparable operational performance in comparison to other powertrains. The fuel cell hybrid tractor already provided an adequate operating performance but the availability of hydrogen and refueling infrastructure could be challenging to resolve in the farming context.\",\"journal\":\"World Electric Vehicle Journal\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lajunen\"],\"firstnames\":[\"Antti\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kivekas\"],\"firstnames\":[\"Klaus\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Freyermuth\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vijayagopal\"],\"firstnames\":[\"Ram\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kim\"],\"firstnames\":[\"Namdoo\"],\"suffixes\":[]}],\"year\":\"2024\",\"keywords\":\"Autonomie, Vehicle control, Vehicle systems\",\"bibtex\":\"@article{lajunen_simulation-based_2024,\\n\\ttitle = {Simulation-{Based} {Assessment} of {Energy} {Consumption} of {Alternative} {Powertrains} in {Agricultural} {Tractors}},\\n\\turl = {https://anl.box.com/s/2mxxia0o4zz42314m9zt0hj6mn80ixdn},\\n\\tdoi = {https://doi.org/10.3390/wevj15030086},\\n\\tabstract = {The objectives of this research were to develop simulation models for agricultural tractors with different powertrain technologies and evaluate the energy consumption in typical agricultural operations. Simulation models were developed for conventional, parallel hybrid electric, series hybrid electric, fuel cell hybrid, and battery electric powertrains. Autonomie vehicle simulation software (version 2022) was used for the simulations and the tractor models were simulated in two tilling cycles and in a road transport cycle with a trailer. The alternative powertrains were configured to have at least the same tractive performance as the conventional, diesel engine-powered tractor model. The simulation results showed that the potential of the parallel and series hybrid powertrains to improve energy efficiency depends heavily on the tractor size and the operating cycle conditions. The fuel cell hybrid and battery electric powertrains have a higher potential to reduce energy consumption and emissions but still have inherent technical challenges for practical operation. The battery-powered electric tractor would require improvements in the storage energy density to have a comparable operational performance in comparison to other powertrains. The fuel cell hybrid tractor already provided an adequate operating performance but the availability of hydrogen and refueling infrastructure could be challenging to resolve in the farming context.},\\n\\tjournal = {World Electric Vehicle Journal},\\n\\tauthor = {Lajunen, Antti and Kivekas, Klaus and Freyermuth, Vincent and Vijayagopal, Ram and Kim, Namdoo},\\n\\tyear = {2024},\\n\\tkeywords = {Autonomie, Vehicle control, Vehicle systems},\\n}\\n\\n\",\"author_short\":[\"Lajunen, A.\",\"Kivekas, K.\",\"Freyermuth, V.\",\"Vijayagopal, R.\",\"Kim, N.\"],\"key\":\"lajunen_simulation-based_2024\",\"id\":\"lajunen_simulation-based_2024\",\"bibbaseid\":\"lajunen-kivekas-freyermuth-vijayagopal-kim-simulationbasedassessmentofenergyconsumptionofalternativepowertrainsinagriculturaltractors-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/2mxxia0o4zz42314m9zt0hj6mn80ixdn\"},\"keyword\":[\"Autonomie\",\"Vehicle control\",\"Vehicle systems\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"incollection\",\"type\":\"incollection\",\"series\":\"AIAA SciTech Forum\",\"title\":\"Modeling of hybrid-electric powertrains for small commuter aircraft to assess performance and emissions\",\"url\":\"https://anl.box.com/s/o1sng8k450is6dp03g4n4n171qws2l6z\",\"urldate\":\"2024-02-23\",\"booktitle\":\"AIAA SCITECH 2024 Forum\",\"publisher\":\"American Institute of Aeronautics and Astronautics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Salucci\"],\"firstnames\":[\"Francesco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Prabhakar\"],\"firstnames\":[\"Nirmit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\",\"A.\"],\"suffixes\":[]}],\"month\":\"January\",\"year\":\"2024\",\"doi\":\"10.2514/6.2024-0280\",\"bibtex\":\"@incollection{salucci_modeling_2024,\\n\\tseries = {{AIAA} {SciTech} {Forum}},\\n\\ttitle = {Modeling of hybrid-electric powertrains for small commuter aircraft to assess performance and emissions},\\n\\turl = {https://anl.box.com/s/o1sng8k450is6dp03g4n4n171qws2l6z},\\n\\turldate = {2024-02-23},\\n\\tbooktitle = {{AIAA} {SCITECH} 2024 {Forum}},\\n\\tpublisher = {American Institute of Aeronautics and Astronautics},\\n\\tauthor = {Salucci, Francesco and Prabhakar, Nirmit and Karbowski, Dominik A.},\\n\\tmonth = jan,\\n\\tyear = {2024},\\n\\tdoi = {10.2514/6.2024-0280},\\n}\\n\\n\",\"author_short\":[\"Salucci, F.\",\"Prabhakar, N.\",\"Karbowski, D. A.\"],\"key\":\"salucci_modeling_2024\",\"id\":\"salucci_modeling_2024\",\"bibbaseid\":\"salucci-prabhakar-karbowski-modelingofhybridelectricpowertrainsforsmallcommuteraircrafttoassessperformanceandemissions-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/o1sng8k450is6dp03g4n4n171qws2l6z\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"San Diego\",\"title\":\"Estimating Mission-Based Energy and System Dynamics of e-VTOL Aircraft\",\"url\":\"https://anl.app.box.com/s/f0yoegseuxt0yxmgxoy1w3mtdxbozogn\",\"publisher\":\"AIAA\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Prabhakar\"],\"firstnames\":[\"Nirmit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Salucci\"],\"firstnames\":[\"Francesco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2023\",\"keywords\":\"Aeronomie, Aircraft Systems\",\"bibtex\":\"@inproceedings{prabhakar_estimating_2023,\\n\\taddress = {San Diego},\\n\\ttitle = {Estimating {Mission}-{Based} {Energy} and {System} {Dynamics} of e-{VTOL} {Aircraft}},\\n\\turl = {https://anl.app.box.com/s/f0yoegseuxt0yxmgxoy1w3mtdxbozogn},\\n\\tpublisher = {AIAA},\\n\\tauthor = {Prabhakar, Nirmit and Salucci, Francesco and Karbowski, Dominik},\\n\\tmonth = jun,\\n\\tyear = {2023},\\n\\tkeywords = {Aeronomie, Aircraft Systems},\\n}\\n\\n\",\"author_short\":[\"Prabhakar, N.\",\"Salucci, F.\",\"Karbowski, D.\"],\"key\":\"prabhakar_estimating_2023\",\"id\":\"prabhakar_estimating_2023\",\"bibbaseid\":\"prabhakar-salucci-karbowski-estimatingmissionbasedenergyandsystemdynamicsofevtolaircraft-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.app.box.com/s/f0yoegseuxt0yxmgxoy1w3mtdxbozogn\"},\"keyword\":[\"Aeronomie\",\"Aircraft Systems\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"misc\",\"type\":\"misc\",\"title\":\"Equiticity\",\"url\":\"https://www.equiticity.org\",\"abstract\":\"Equiticity is a 501(c)(3) non-profit organization programming and advocating for racial equity and increased mobility in Chicago and beyond.\",\"language\":\"en-US\",\"urldate\":\"2024-02-23\",\"journal\":\"Equiticity\",\"year\":\"2024\",\"bibtex\":\"@misc{noauthor_equiticity_2024,\\n\\ttitle = {Equiticity},\\n\\turl = {https://www.equiticity.org},\\n\\tabstract = {Equiticity is a 501(c)(3) non-profit organization programming and advocating for racial equity and increased mobility in Chicago and beyond.},\\n\\tlanguage = {en-US},\\n\\turldate = {2024-02-23},\\n\\tjournal = {Equiticity},\\n\\tyear = {2024},\\n}\\n\\n\",\"key\":\"noauthor_equiticity_2024\",\"id\":\"noauthor_equiticity_2024\",\"bibbaseid\":\"anonymous-equiticity-2024\",\"role\":\"\",\"urls\":{\"Paper\":\"https://www.equiticity.org\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"San Diego, CA, USA\",\"title\":\"Potential Energy Saving by Different Cooperative Driving Automation Classes in Car-Following Scenarios $^{\\\\textrm{*}}$\",\"isbn\":\"9798350328066\",\"url\":\"https://anl.box.com/s/og67f5zlawlbg7q4at6zgk12h4xmucom\",\"doi\":\"10.23919/ACC55779.2023.10156430\",\"urldate\":\"2023-11-01\",\"booktitle\":\"2023 American Control Conference (ACC)\",\"publisher\":\"IEEE\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Hyeon\"],\"firstnames\":[\"Eunjeong\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2023\",\"pages\":\"1313–1318\",\"bibtex\":\"@inproceedings{hyeon_potential_2023,\\n\\taddress = {San Diego, CA, USA},\\n\\ttitle = {Potential {Energy} {Saving} by {Different} {Cooperative} {Driving} {Automation} {Classes} in {Car}-{Following} {Scenarios} $^{\\\\textrm{*}}$},\\n\\tisbn = {9798350328066},\\n\\turl = {https://anl.box.com/s/og67f5zlawlbg7q4at6zgk12h4xmucom},\\n\\tdoi = {10.23919/ACC55779.2023.10156430},\\n\\turldate = {2023-11-01},\\n\\tbooktitle = {2023 {American} {Control} {Conference} ({ACC})},\\n\\tpublisher = {IEEE},\\n\\tauthor = {Hyeon, Eunjeong and Karbowski, Dominik and Rousseau, Aymeric},\\n\\tmonth = may,\\n\\tyear = {2023},\\n\\tpages = {1313--1318},\\n}\\n\\n\",\"author_short\":[\"Hyeon, E.\",\"Karbowski, D.\",\"Rousseau, A.\"],\"key\":\"hyeon_potential_2023\",\"id\":\"hyeon_potential_2023\",\"bibbaseid\":\"hyeon-karbowski-rousseau-potentialenergysavingbydifferentcooperativedrivingautomationclassesincarfollowingscenariostextrm-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/og67f5zlawlbg7q4at6zgk12h4xmucom\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Anchorage, AK, USA\",\"title\":\"Decision-Making Strategy Using Multi-Agent Reinforcement Learning for Platoon Formation in Agreement-Seeking Cooperation\",\"isbn\":\"9798350346916\",\"url\":\"https://anl.box.com/s/39xmwpvw2qe4x8q80n7rt3b32dyv78c6\",\"doi\":\"10.1109/IV55152.2023.10186813\",\"urldate\":\"2023-11-01\",\"booktitle\":\"2023 IEEE Intelligent Vehicles Symposium (IV)\",\"publisher\":\"IEEE\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Hyeon\"],\"firstnames\":[\"Eunjeong\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2023\",\"pages\":\"1–6\",\"bibtex\":\"@inproceedings{hyeon_decision-making_2023,\\n\\taddress = {Anchorage, AK, USA},\\n\\ttitle = {Decision-{Making} {Strategy} {Using} {Multi}-{Agent} {Reinforcement} {Learning} for {Platoon} {Formation} in {Agreement}-{Seeking} {Cooperation}},\\n\\tisbn = {9798350346916},\\n\\turl = {https://anl.box.com/s/39xmwpvw2qe4x8q80n7rt3b32dyv78c6},\\n\\tdoi = {10.1109/IV55152.2023.10186813},\\n\\turldate = {2023-11-01},\\n\\tbooktitle = {2023 {IEEE} {Intelligent} {Vehicles} {Symposium} ({IV})},\\n\\tpublisher = {IEEE},\\n\\tauthor = {Hyeon, Eunjeong and Karbowski, Dominik and Rousseau, Aymeric},\\n\\tmonth = jun,\\n\\tyear = {2023},\\n\\tpages = {1--6},\\n}\\n\\n\",\"author_short\":[\"Hyeon, E.\",\"Karbowski, D.\",\"Rousseau, A.\"],\"key\":\"hyeon_decision-making_2023\",\"id\":\"hyeon_decision-making_2023\",\"bibbaseid\":\"hyeon-karbowski-rousseau-decisionmakingstrategyusingmultiagentreinforcementlearningforplatoonformationinagreementseekingcooperation-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/39xmwpvw2qe4x8q80n7rt3b32dyv78c6\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery\",\"volume\":\"2677\",\"issn\":\"0361-1981\",\"url\":\"https://doi.org/10.1177/03611981221124592\",\"doi\":\"10.1177/03611981221124592\",\"abstract\":\"Electric vehicle routing problems can be particularly complex when recharging must be performed mid-route. In some applications, such as e-commerce parcel delivery truck routing, however, mid-route recharging may not be necessary because of constraints on vehicle capacities and the maximum allowed time for delivery. In this study, we develop a mixed-integer optimization model that exactly solves such a time-constrained capacitated vehicle routing problem, especially of interest for e-commerce parcel delivery vehicles. We compare our solution method with an existing metaheuristic and carry out exhaustive case studies considering four U.S. cities—Austin, TX; Bloomington, IL; Chicago, IL; and Detroit, MI—and two vehicle types: conventional vehicles and battery electric vehicles (BEVs). In these studies we examine the impact of vehicle capacity, maximum allowed travel time, service time (dwelling time to physically deliver the parcel), and BEV range on system-level performance metrics, including vehicle miles traveled (VMT). We find that the service time followed by the vehicle capacity plays a key role in the performance of our approach. We assume an 80-mi BEV range as a baseline without mid-route recharging. Our results show that the BEV range has a minimal impact on performance metrics because the VMT per vehicle averages around 72 mi. In a case study for shared-economy parcel deliveries, we observe that VMT could be reduced by 38.8% in Austin if service providers were to operate their distribution centers jointly.\",\"language\":\"en\",\"number\":\"2\",\"urldate\":\"2024-02-01\",\"journal\":\"Transportation Research Record\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Subramanyam\"],\"firstnames\":[\"Anirudh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Larson\"],\"firstnames\":[\"Jeffrey\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Stinson\"],\"firstnames\":[\"Monique\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sahin\"],\"firstnames\":[\"Olcay\"],\"suffixes\":[]}],\"month\":\"February\",\"year\":\"2023\",\"note\":\"Publisher: SAGE Publications Inc\",\"pages\":\"190–203\",\"bibtex\":\"@article{cokyasar_time-constrained_2023,\\n\\ttitle = {Time-{Constrained} {Capacitated} {Vehicle} {Routing} {Problem} in {Urban} {E}-{Commerce} {Delivery}},\\n\\tvolume = {2677},\\n\\tissn = {0361-1981},\\n\\turl = {https://doi.org/10.1177/03611981221124592},\\n\\tdoi = {10.1177/03611981221124592},\\n\\tabstract = {Electric vehicle routing problems can be particularly complex when recharging must be performed mid-route. In some applications, such as e-commerce parcel delivery truck routing, however, mid-route recharging may not be necessary because of constraints on vehicle capacities and the maximum allowed time for delivery. In this study, we develop a mixed-integer optimization model that exactly solves such a time-constrained capacitated vehicle routing problem, especially of interest for e-commerce parcel delivery vehicles. We compare our solution method with an existing metaheuristic and carry out exhaustive case studies considering four U.S. cities—Austin, TX; Bloomington, IL; Chicago, IL; and Detroit, MI—and two vehicle types: conventional vehicles and battery electric vehicles (BEVs). In these studies we examine the impact of vehicle capacity, maximum allowed travel time, service time (dwelling time to physically deliver the parcel), and BEV range on system-level performance metrics, including vehicle miles traveled (VMT). We find that the service time followed by the vehicle capacity plays a key role in the performance of our approach. We assume an 80-mi BEV range as a baseline without mid-route recharging. Our results show that the BEV range has a minimal impact on performance metrics because the VMT per vehicle averages around 72 mi. In a case study for shared-economy parcel deliveries, we observe that VMT could be reduced by 38.8\\\\% in Austin if service providers were to operate their distribution centers jointly.},\\n\\tlanguage = {en},\\n\\tnumber = {2},\\n\\turldate = {2024-02-01},\\n\\tjournal = {Transportation Research Record},\\n\\tauthor = {Cokyasar, Taner and Subramanyam, Anirudh and Larson, Jeffrey and Stinson, Monique and Sahin, Olcay},\\n\\tmonth = feb,\\n\\tyear = {2023},\\n\\tnote = {Publisher: SAGE Publications Inc},\\n\\tpages = {190--203},\\n}\\n\\n\",\"author_short\":[\"Cokyasar, T.\",\"Subramanyam, A.\",\"Larson, J.\",\"Stinson, M.\",\"Sahin, O.\"],\"key\":\"cokyasar_time-constrained_2023\",\"id\":\"cokyasar_time-constrained_2023\",\"bibbaseid\":\"cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://doi.org/10.1177/03611981221124592\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":5,\"html\":\"\"},{\"bibtype\":\"misc\",\"type\":\"misc\",\"title\":\"Justice40 Initiative\",\"url\":\"https://www.energy.gov/justice/justice40-initiative\",\"abstract\":\"On January 27, 2021, President Biden issued Executive Order 14008, Tackling the Climate Crisis at Home and Abroad. Section 223 of that EO establishes the Justice40 Initiative, which directs 40% of the overall benefits of certain...\",\"language\":\"en\",\"urldate\":\"2024-02-01\",\"journal\":\"Energy.gov\",\"author\":[{\"firstnames\":[\"Department\"],\"propositions\":[\"of\"],\"lastnames\":[\"Energy\"],\"suffixes\":[]}],\"bibtex\":\"@misc{department_of_energy_justice40_nodate,\\n\\ttitle = {Justice40 {Initiative}},\\n\\turl = {https://www.energy.gov/justice/justice40-initiative},\\n\\tabstract = {On January 27, 2021, President Biden issued Executive Order 14008, Tackling the Climate Crisis at Home and Abroad. Section 223 of that EO establishes the Justice40 Initiative, which directs 40\\\\% of the overall benefits of certain...},\\n\\tlanguage = {en},\\n\\turldate = {2024-02-01},\\n\\tjournal = {Energy.gov},\\n\\tauthor = {Department of Energy},\\n}\\n\\n\",\"author_short\":[\"of Energy, D.\"],\"key\":\"department_of_energy_justice40_nodate\",\"id\":\"department_of_energy_justice40_nodate\",\"bibbaseid\":\"ofenergy-justice40initiative\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.energy.gov/justice/justice40-initiative\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"misc\",\"type\":\"misc\",\"title\":\"E-Commerce Retail Sales as a Percent of Total Sales\",\"shorttitle\":\"ECOMPCTSA\",\"url\":\"https://fred.stlouisfed.org/series/ECOMPCTSA\",\"abstract\":\"E-commerce sales are sales of goods and services where the buyer places an order, or the price and terms of the sale are negotiated over an Internet, mobile device (M-commerce), extranet, Electronic Data Interchange (EDI) network, electronic mail, or other comparable online system. Payment may or may not be made online.\",\"urldate\":\"2024-01-31\",\"journal\":\"FRED, Federal Reserve Bank of St. Louis\",\"author\":[{\"firstnames\":[],\"propositions\":[],\"lastnames\":[\"U.S. Census Bureau\"],\"suffixes\":[]}],\"month\":\"October\",\"year\":\"2023\",\"note\":\"Publisher: FRED, Federal Reserve Bank of St. Louis\",\"bibtex\":\"@misc{us_census_bureau_e-commerce_2023,\\n\\ttitle = {E-{Commerce} {Retail} {Sales} as a {Percent} of {Total} {Sales}},\\n\\tshorttitle = {{ECOMPCTSA}},\\n\\turl = {https://fred.stlouisfed.org/series/ECOMPCTSA},\\n\\tabstract = {E-commerce sales are sales of goods and services where  the buyer places an order, or the price and terms  of the sale  are negotiated over an Internet, mobile device  (M-commerce),  extranet,  Electronic  Data  Interchange  (EDI)  network,  electronic  mail,  or  other  comparable  online  system.  Payment  may  or  may  not  be  made online.},\\n\\turldate = {2024-01-31},\\n\\tjournal = {FRED, Federal Reserve Bank of St. Louis},\\n\\tauthor = {{U.S. Census Bureau}},\\n\\tmonth = oct,\\n\\tyear = {2023},\\n\\tnote = {Publisher: FRED, Federal Reserve Bank of St. Louis},\\n}\\n\\n\",\"author_short\":[\"U.S. Census Bureau\"],\"key\":\"us_census_bureau_e-commerce_2023\",\"id\":\"us_census_bureau_e-commerce_2023\",\"bibbaseid\":\"uscensusbureau-ecommerceretailsalesasapercentoftotalsales-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://fred.stlouisfed.org/series/ECOMPCTSA\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"The Lagrangian Coordinates and What it Means for First Order Traffic Flow Models\",\"isbn\":\"978-0-08-045375-0\",\"url\":\"https://trid.trb.org/View/820161\",\"urldate\":\"2024-01-31\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Leclercq\"],\"firstnames\":[\"Ludovic\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Laval\"],\"firstnames\":[\"Jorge\",\"Andres\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Chevallier\"],\"firstnames\":[\"Estelle\"],\"suffixes\":[]}],\"year\":\"2007\",\"bibtex\":\"@inproceedings{leclercq_lagrangian_2007,\\n\\ttitle = {The {Lagrangian} {Coordinates} and {What} it {Means} for {First} {Order} {Traffic} {Flow} {Models}},\\n\\tisbn = {978-0-08-045375-0},\\n\\turl = {https://trid.trb.org/View/820161},\\n\\turldate = {2024-01-31},\\n\\tauthor = {Leclercq, Ludovic and Laval, Jorge Andres and Chevallier, Estelle},\\n\\tyear = {2007},\\n}\\n\\n\",\"author_short\":[\"Leclercq, L.\",\"Laval, J. A.\",\"Chevallier, E.\"],\"key\":\"leclercq_lagrangian_2007\",\"id\":\"leclercq_lagrangian_2007\",\"bibbaseid\":\"leclercq-laval-chevallier-thelagrangiancoordinatesandwhatitmeansforfirstordertrafficflowmodels-2007\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://trid.trb.org/View/820161\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"The Link Transmission Model for dynamic network loading\",\"url\":\"https://lirias.kuleuven.be/1749225\",\"abstract\":\"Dynamische verkeerstoedelingsmodellen worden gebruikt om de impact van infrastructuuraanpassingen in verkeersnetwerken te voorspellen en om de effecten van informatieverstrekking en verkeesbeheersingsmaatregelen in te schatten. Een verkeerssimulatiemodel is een basiscomponent van het dynamisch toedelingsmodel. In dit eindwerk wordt een verkeerssimulatiemodel ontwikkeld. Het Link Transmissie Model simuleert verkeersstromen in grote feitelijke netwerken die zowel snelwegen als stedelijke regio’s omvatten. Het gemodelleerde file-opbouw en file-afbouw proces sluit nauwer aan bij de realiteit dan in state-of-the-art macroscopische verkeerstoedelingsmodellen. Op kruispunten worden lokale capaciteitsbeperkingen en knoopvertragingen gedetailleerd in rekening gebracht. Het Link Transmissie Model stoelt op een rekenefficiënt algoritme waardoor verkeersstromen in grote netwerken gesimuleerd kunnen worden in een beperkte rekentijd\",\"language\":\"dut\",\"urldate\":\"2024-01-31\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Yperman\"],\"firstnames\":[\"Isaak\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2007\",\"bibtex\":\"@article{yperman_link_2007,\\n\\ttitle = {The {Link} {Transmission} {Model} for dynamic network loading},\\n\\turl = {https://lirias.kuleuven.be/1749225},\\n\\tabstract = {Dynamische verkeerstoedelingsmodellen worden gebruikt om de impact van infrastructuuraanpassingen in verkeersnetwerken te voorspellen en om de effecten van informatieverstrekking en verkeesbeheersingsmaatregelen in te schatten. Een verkeerssimulatiemodel is een basiscomponent van het dynamisch toedelingsmodel. In dit eindwerk wordt een verkeerssimulatiemodel ontwikkeld. Het Link Transmissie Model simuleert verkeersstromen in grote feitelijke netwerken die zowel snelwegen als stedelijke regio’s omvatten. Het gemodelleerde file-opbouw en file-afbouw proces sluit nauwer aan bij de realiteit dan in state-of-the-art macroscopische verkeerstoedelingsmodellen. Op kruispunten worden lokale capaciteitsbeperkingen en knoopvertragingen gedetailleerd in rekening gebracht. Het Link Transmissie Model stoelt op een rekenefficiënt algoritme waardoor verkeersstromen in grote netwerken gesimuleerd kunnen worden in een beperkte rekentijd},\\n\\tlanguage = {dut},\\n\\turldate = {2024-01-31},\\n\\tauthor = {Yperman, Isaak},\\n\\tmonth = jun,\\n\\tyear = {2007},\\n}\\n\\n\",\"author_short\":[\"Yperman, I.\"],\"key\":\"yperman_link_2007\",\"id\":\"yperman_link_2007\",\"bibbaseid\":\"yperman-thelinktransmissionmodelfordynamicnetworkloading-2007\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://lirias.kuleuven.be/1749225\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Columbus, OH, USA\",\"title\":\"Potential Energy Saving of V2V-Connected Vehicles in Large-Scale Traffic\",\"url\":\"https://anl.box.com/s/ax45bc5dz01h9gxtu84ewkhe03y7mc8i\",\"doi\":\"https://doi.org/10.1016/j.ifacol.2022.10.265\",\"abstract\":\"In realistic car-following eco-driving scenarios, preceding vehicles’ presence and behavior can significantly impact vehicle energy efficiency. Increasing vehicle-to-vehicle (V2V) connectivity, more accurate prediction of the preceding vehicle’s future trajectory becomes possible, bringing further energy savings. However, prediction accuracy and the corresponding energy savings depend on the specific scenario. This paper identifies factors impacting prediction accuracy and investigates how these impacts lead to energy savings for the eco-driving control system that we focus on. First, we integrate a trajectory predictor using V2V information with an eco-driving controller. Then, we design a systematic parameter study that generates extensive downstream traffic environments with various V2V connectivity ranges, and we conduct initial investigations into the relationship between the influential factors and eco-driving behaviors. Finally, we validate our findings from the parameter study by evaluating a V2V-enabled ecodriving control system using a multi-vehicle simulation tool with high-fidelity powertrain models. Results show that a longer-term prediction horizon, equivalent to a look-ahead horizon for eco-driving control, saves more energy. Furthermore, increasing the prediction accuracy with sufficient V2V information from more V2V-connected vehicles enables near-optimal energy savings for various car-following behaviors in downstream traffic.\",\"booktitle\":\"10th IFAC International Symposium on Advances in Automotive Control (in review)\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Hyeon\"],\"firstnames\":[\"Eunjeong\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Shen\"],\"firstnames\":[\"Daliang\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kim\"],\"firstnames\":[\"Namwook\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]}],\"month\":\"August\",\"year\":\"2022\",\"note\":\"ANL\",\"keywords\":\"Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control\",\"bibtex\":\"@inproceedings{hyeon_potential_2022,\\n\\taddress = {Columbus, OH, USA},\\n\\ttitle = {Potential {Energy} {Saving} of {V2V}-{Connected} {Vehicles} in {Large}-{Scale} {Traffic}},\\n\\turl = {https://anl.box.com/s/ax45bc5dz01h9gxtu84ewkhe03y7mc8i},\\n\\tdoi = {https://doi.org/10.1016/j.ifacol.2022.10.265},\\n\\tabstract = {In realistic car-following eco-driving scenarios, preceding vehicles’ presence and behavior can significantly impact vehicle energy efficiency. Increasing vehicle-to-vehicle (V2V) connectivity, more accurate prediction of the preceding vehicle’s future trajectory becomes possible, bringing further energy savings. However, prediction accuracy and the corresponding energy savings depend on the specific scenario. This paper identifies factors impacting prediction accuracy and investigates how these impacts lead to energy savings for the eco-driving control system that we focus on. First, we integrate a trajectory predictor using V2V information with an eco-driving controller. Then, we design a systematic parameter study that generates extensive downstream traffic environments with various V2V connectivity ranges, and we conduct initial investigations into the relationship between the influential factors and eco-driving behaviors. Finally, we validate our findings from the parameter study by evaluating a V2V-enabled ecodriving control system using a multi-vehicle simulation tool with high-fidelity powertrain models. Results show that a longer-term prediction horizon, equivalent to a look-ahead horizon for eco-driving control, saves more energy. Furthermore, increasing the prediction accuracy with sufficient V2V information from more V2V-connected vehicles enables near-optimal energy savings for various car-following behaviors in downstream traffic.},\\n\\tbooktitle = {10th {IFAC} {International} {Symposium} on {Advances} in {Automotive} {Control} (in review)},\\n\\tauthor = {Hyeon, Eunjeong and Han, Jihun and Shen, Daliang and Karbowski, Dominik and Kim, Namwook and Rousseau, Aymeric},\\n\\tmonth = aug,\\n\\tyear = {2022},\\n\\tnote = {ANL},\\n\\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\\n}\\n\\n\",\"author_short\":[\"Hyeon, E.\",\"Han, J.\",\"Shen, D.\",\"Karbowski, D.\",\"Kim, N.\",\"Rousseau, A.\"],\"key\":\"hyeon_potential_2022\",\"id\":\"hyeon_potential_2022\",\"bibbaseid\":\"hyeon-han-shen-karbowski-kim-rousseau-potentialenergysavingofv2vconnectedvehiclesinlargescaletraffic-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/ax45bc5dz01h9gxtu84ewkhe03y7mc8i\"},\"keyword\":[\"Connected and Automated Vehicles\",\"DOE SMART\",\"RoadRunner\",\"Vehicle control\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"techreport\",\"type\":\"techreport\",\"title\":\"SMART Mobility 2.0 : POLARIS-Specific Scenario Results for Three Regions\",\"institution\":\"Argonne National Laboratory (ANL)\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Ömer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gurumurthy\"],\"firstnames\":[\"Krishna\",\"M.\"],\"suffixes\":[]},{\"propositions\":[\"de\"],\"lastnames\":[\"Souza\"],\"firstnames\":[\"Felipe\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Zuniga-Garcia\"],\"firstnames\":[\"Natalia\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sahin\"],\"firstnames\":[\"Olcay\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Khan\"],\"firstnames\":[\"Nazmul\",\"Arefin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mansour\"],\"firstnames\":[\"Charbel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cook\"],\"firstnames\":[\"James\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Huang\"],\"firstnames\":[\"Yantao\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ismael\"],\"firstnames\":[\"Abdelrahman\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hui\"],\"firstnames\":[\"Shen\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Magassy\"],\"firstnames\":[\"Tassio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"White\"],\"firstnames\":[\"Griffin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2023\",\"bibtex\":\"@techreport{auld_smart_2023,\\n\\ttitle = {{SMART} {Mobility} 2.0 : {POLARIS}-{Specific} {Scenario} {Results} for {Three} {Regions}},\\n\\tinstitution = {Argonne National Laboratory (ANL)},\\n\\tauthor = {Auld, Joshua and Verbas, Ömer and Gurumurthy, Krishna M. and de Souza, Felipe and Zuniga-Garcia, Natalia and Cokyasar, Taner and Sahin, Olcay and Khan, Nazmul Arefin and Mansour, Charbel and Cook, James and Huang, Yantao and Ismael, Abdelrahman and Hui, Shen and Magassy, Tassio and White, Griffin and Rousseau, Aymeric},\\n\\tmonth = jun,\\n\\tyear = {2023},\\n}\\n\\n\",\"author_short\":[\"Auld, J.\",\"Verbas, Ö.\",\"Gurumurthy, K. M.\",\"de Souza, F.\",\"Zuniga-Garcia, N.\",\"Cokyasar, T.\",\"Sahin, O.\",\"Khan, N. A.\",\"Mansour, C.\",\"Cook, J.\",\"Huang, Y.\",\"Ismael, A.\",\"Hui, S.\",\"Magassy, T.\",\"White, G.\",\"Rousseau, A.\"],\"key\":\"auld_smart_2023\",\"id\":\"auld_smart_2023\",\"bibbaseid\":\"auld-verbas-gurumurthy-desouza-zunigagarcia-cokyasar-sahin-khan-etal-smartmobility20polarisspecificscenarioresultsforthreeregions-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Atlanta, GA, USA\",\"title\":\"Analytical Anticipative Optimal Drivability Car-Following Model\",\"url\":\"https://anl.box.com/s/0vpi4f5hj4ouiostw6tyzaymib26fmm4\",\"doi\":\"https://doi.org/10.23919/ACC53348.2022.9867588\",\"abstract\":\"Replicating a human car-following behavior becomes more important for developing either a human driver model or human-like adaptive cruise control. The human driver model is especially a key element in simulation tools used for the development and evaluation of connected and automated vehicle driving controls. In this paper, we propose an analytical anticipative optimal drivability car-following model that can capture a dynamic car-following behavior while maximizing driving comfort without collisions in a computational-efficient way. We formulate drivability-oriented car-following as an optimal control problem, and then reformulate it to a bi-level optimization problem in order to facilitate analytical treatment. By employing optimal control theory, we can transform the bi-level optimization problem into a nonlinear programming problem and derive its analytical solutions. To validate the proposed model, we post-processed and used Next Generation SIMulation (NGSIM) data. Results show that the proposed parametric model can generate stable car-following behaviors and its vehicle state trajectories are well matched with NGSIM data, thereby significantly improving root-mean-square error of speed and distance gap compared to the existing car-following model.\",\"booktitle\":\"2022 American Control Conference (ACC)\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2022\",\"keywords\":\"DOE SMART, Driver Modeling, RoadRunner\",\"bibtex\":\"@inproceedings{han_analytical_2022,\\n\\taddress = {Atlanta, GA, USA},\\n\\ttitle = {Analytical {Anticipative} {Optimal} {Drivability} {Car}-{Following} {Model}},\\n\\turl = {https://anl.box.com/s/0vpi4f5hj4ouiostw6tyzaymib26fmm4},\\n\\tdoi = {https://doi.org/10.23919/ACC53348.2022.9867588},\\n\\tabstract = {Replicating a human car-following behavior becomes more important for developing either a human driver model or human-like adaptive cruise control. The human driver model is especially a key element in simulation tools used for the development and evaluation of connected and automated vehicle driving controls. In this paper, we propose an analytical\\nanticipative optimal drivability car-following model that can capture a dynamic car-following behavior while maximizing driving comfort without collisions in a computational-efficient\\nway. We formulate drivability-oriented car-following as an optimal control problem, and then reformulate it to a bi-level optimization problem in order to facilitate analytical treatment.\\nBy employing optimal control theory, we can transform the bi-level optimization problem into a nonlinear programming problem and derive its analytical solutions. To validate the\\nproposed model, we post-processed and used Next Generation SIMulation (NGSIM) data. Results show that the proposed parametric model can generate stable car-following behaviors and its vehicle state trajectories are well matched with NGSIM data, thereby significantly improving root-mean-square error of\\nspeed and distance gap compared to the existing car-following model.},\\n\\tbooktitle = {2022 {American} {Control} {Conference} ({ACC})},\\n\\tauthor = {Han, Jihun and Karbowski, Dominik and Rousseau, Aymeric},\\n\\tmonth = jun,\\n\\tyear = {2022},\\n\\tkeywords = {DOE SMART, Driver Modeling, RoadRunner},\\n}\\n\\n\",\"author_short\":[\"Han, J.\",\"Karbowski, D.\",\"Rousseau, A.\"],\"key\":\"han_analytical_2022\",\"id\":\"han_analytical_2022\",\"bibbaseid\":\"han-karbowski-rousseau-analyticalanticipativeoptimaldrivabilitycarfollowingmodel-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/0vpi4f5hj4ouiostw6tyzaymib26fmm4\"},\"keyword\":[\"DOE SMART\",\"Driver Modeling\",\"RoadRunner\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":3,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Atlanta, GA, USA\",\"title\":\"Koopman Model Predictive Control for Eco-Driving of Automated Vehicles\",\"url\":\"https://anl.box.com/s/767hekd8hze41g96eaj3eqcea1cr5jzk\",\"doi\":\"https://doi.org/10.23919/ACC53348.2022.9867636\",\"abstract\":\"In this paper, we develop a data-driven process for building a model predictive control (MPC) for eco-driving of automated vehicles. The process involves performing system identification in which the non-linear vehicle dynamics model is approximated by the Koopman operator, a linear predictor of higher state-dimension, in a data-driven framework. This approach allows us to formulate the eco-driving problem in a constrained quadratic program that leads to a computationally fast MPC. The MPC is then implemented as a closed-loop control of an electric vehicle in numerical simulations for demonstration.\",\"booktitle\":\"2022 American Control Conference (ACC)\",\"publisher\":\"IEEE\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Gupta\"],\"firstnames\":[\"Shobhit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Shen\"],\"firstnames\":[\"Daliang\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2022\",\"note\":\"ANL\",\"keywords\":\"Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control\",\"bibtex\":\"@inproceedings{gupta_koopman_2022,\\n\\taddress = {Atlanta, GA, USA},\\n\\ttitle = {Koopman {Model} {Predictive} {Control} for {Eco}-{Driving} of {Automated} {Vehicles}},\\n\\turl = {https://anl.box.com/s/767hekd8hze41g96eaj3eqcea1cr5jzk},\\n\\tdoi = {https://doi.org/10.23919/ACC53348.2022.9867636},\\n\\tabstract = {In this paper, we develop a data-driven process for building a model predictive control (MPC) for eco-driving of automated vehicles. The process involves performing system identification in which the non-linear vehicle dynamics model is approximated by the Koopman operator, a linear predictor of higher state-dimension, in a data-driven framework. This approach allows us to formulate the eco-driving problem in a constrained quadratic program that leads to a computationally fast MPC. The MPC is then implemented as a closed-loop control of an electric vehicle in numerical simulations for demonstration.},\\n\\tbooktitle = {2022 {American} {Control} {Conference} ({ACC})},\\n\\tpublisher = {IEEE},\\n\\tauthor = {Gupta, Shobhit and Shen, Daliang and Karbowski, Dominik and Rousseau, Aymeric},\\n\\tmonth = jun,\\n\\tyear = {2022},\\n\\tnote = {ANL},\\n\\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\\n}\\n\\n\",\"author_short\":[\"Gupta, S.\",\"Shen, D.\",\"Karbowski, D.\",\"Rousseau, A.\"],\"key\":\"gupta_koopman_2022\",\"id\":\"gupta_koopman_2022\",\"bibbaseid\":\"gupta-shen-karbowski-rousseau-koopmanmodelpredictivecontrolforecodrivingofautomatedvehicles-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/767hekd8hze41g96eaj3eqcea1cr5jzk\"},\"keyword\":[\"Connected and Automated Vehicles\",\"DOE SMART\",\"RoadRunner\",\"Vehicle control\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":6,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Columbus, OH, USA\",\"title\":\"Data-Driven Design of Model Predictive Control for Powertrain-Aware Eco-Driving Considering Nonlinearities Using Koopman Analysis\",\"url\":\"https://anl.box.com/s/z10wanslss63r43ijydihby9izbkfm31\",\"doi\":\"https://doi.org/10.1016/j.ifacol.2022.10.271\",\"abstract\":\"Eco-driving is a highly nonlinear control problem. The nonlinearities include the complex energy conversion/dissipation in the powertrain, environmental influences such as road grade and aerodynamic drag, and constraints due to traffic signs, safety issues, and physical limits of the vehicle system. In recent years, researchers have increasingly revisited the Koopman operator to linearize nonlinear dynamics so that the lifted system evolves linearly in a higher dimensional space. This paper adopts such an approximation technique to construct the lifted state space in a data-driven procedure that allows us to incorporate in the cost function the powertrain nonlinear inefficiency in vehicle speed, and system perturbations due to the nonlinear road grade nonlinear in position. In addition, the nonlinear constraints in states can also be handled linearly. The resultant formulation of a linearly constrained quadratic program can be readily applied to design a model predictive control that enjoys a low computation load as with a linear dynamic system. Simulation results demonstrate additional energy saving potential compared to a linear approach.\",\"booktitle\":\"10th IFAC International Symposium on Advances in Automotive Control (accepted)\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Shen\"],\"firstnames\":[\"Daliang\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]}],\"month\":\"August\",\"year\":\"2022\",\"note\":\"ANL\",\"keywords\":\"Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control\",\"bibtex\":\"@inproceedings{shen_data-driven_2022,\\n\\taddress = {Columbus, OH, USA},\\n\\ttitle = {Data-{Driven} {Design} of {Model} {Predictive} {Control} for {Powertrain}-{Aware} {Eco}-{Driving} {Considering} {Nonlinearities} {Using} {Koopman} {Analysis}},\\n\\turl = {https://anl.box.com/s/z10wanslss63r43ijydihby9izbkfm31},\\n\\tdoi = {https://doi.org/10.1016/j.ifacol.2022.10.271},\\n\\tabstract = {Eco-driving is a highly nonlinear control problem. The\\nnonlinearities include the complex energy\\nconversion/dissipation in the powertrain, environmental\\ninfluences such as road grade and aerodynamic drag, and\\nconstraints due to traffic signs, safety issues, and\\nphysical limits of the vehicle system. In recent years,\\nresearchers have increasingly revisited the Koopman\\noperator to linearize nonlinear dynamics so that the lifted\\nsystem evolves linearly in a higher dimensional space. This\\npaper adopts such an approximation technique to construct\\nthe lifted state space in a data-driven procedure that\\nallows us to incorporate in the cost function the\\npowertrain nonlinear inefficiency in vehicle speed, and\\nsystem perturbations due to the nonlinear road grade\\nnonlinear in position. In addition, the nonlinear\\nconstraints in states can also be handled linearly. The\\nresultant formulation of a linearly constrained quadratic\\nprogram can be readily applied to design a model predictive\\ncontrol that enjoys a low computation load as with a linear\\ndynamic system. Simulation results demonstrate additional\\nenergy saving potential compared to a linear approach.},\\n\\tbooktitle = {10th {IFAC} {International} {Symposium} on {Advances} in {Automotive} {Control} (accepted)},\\n\\tauthor = {Shen, Daliang and Han, Jihun and Karbowski, Dominik and Rousseau, Aymeric},\\n\\tmonth = aug,\\n\\tyear = {2022},\\n\\tnote = {ANL},\\n\\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\\n}\\n\\n\",\"author_short\":[\"Shen, D.\",\"Han, J.\",\"Karbowski, D.\",\"Rousseau, A.\"],\"key\":\"shen_data-driven_2022\",\"id\":\"shen_data-driven_2022\",\"bibbaseid\":\"shen-han-karbowski-rousseau-datadrivendesignofmodelpredictivecontrolforpowertrainawareecodrivingconsideringnonlinearitiesusingkoopmananalysis-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/z10wanslss63r43ijydihby9izbkfm31\"},\"keyword\":[\"Connected and Automated Vehicles\",\"DOE SMART\",\"RoadRunner\",\"Vehicle control\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":5,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Forecasting Short to Mid-length Speed Trajectories of Preceding Vehicle using V2X Connectivity for Eco-Driving of Electric Vehicles\",\"volume\":\"3\",\"url\":\"https://anl.box.com/s/gganzlbo4iaj70fxqpcsiro59hmfcmqt\",\"doi\":\"https://doi.org/10.4271/2021-01-0431\",\"abstract\":\"In recent studies, optimal control has shown promise as a strategy for enhancing the energy efficiency of connected autonomous vehicles. To maximize optimization performance, it is important to accurately predict constraints, especially separation from a vehicle in front. This paper proposes a novel prediction method for forecasting the trajectory of the nearest preceding car. The proposed predictor is designed to produce short to medium-length speed trajectories using a locally weighted polynomial regression algorithm. The polynomial coefficients are trained by using two types of information: (1) vehicle-to-vehicle (V2V) messages transmitted by multiple preceding vehicles and (2) vehicle-to-infrastructure (V2I) information broadcast by roadside equipment. The predictor’s performance was tested in a multi-vehicle traffic simulation platform, RoadRunner, previously developed by Argonne National Laboratory. The simulation results show that the proposed predictor’s improved predictions can reduce energy consumption by 5% over eco-driving with the baseline predictor.\",\"number\":\"4\",\"journal\":\"SAE International Journal of Advances and Current Practices in Mobility\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Hyeon\"],\"firstnames\":[\"Eunjeong\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Shen\"],\"firstnames\":[\"Daliang\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]}],\"month\":\"April\",\"year\":\"2021\",\"note\":\"ANL\",\"keywords\":\"Connected and Automated Vehicles, DOE SMART, Driver Modeling, RoadRunner, Vehicle control\",\"pages\":\"1801–1809\",\"bibtex\":\"@article{hyeon_forecasting_2021,\\n\\ttitle = {Forecasting {Short} to {Mid}-length {Speed} {Trajectories} of {Preceding} {Vehicle} using {V2X} {Connectivity} for {Eco}-{Driving} of {Electric} {Vehicles}},\\n\\tvolume = {3},\\n\\turl = {https://anl.box.com/s/gganzlbo4iaj70fxqpcsiro59hmfcmqt},\\n\\tdoi = {https://doi.org/10.4271/2021-01-0431},\\n\\tabstract = {In recent studies, optimal control has shown promise as a strategy for enhancing the energy efficiency of connected autonomous vehicles. To maximize optimization performance, it is important to accurately predict constraints, especially separation from a vehicle in front. This paper proposes a novel prediction method for forecasting the trajectory of the nearest preceding car. The proposed predictor is designed to produce short to medium-length speed trajectories using a locally weighted polynomial regression algorithm. The polynomial coefficients are trained by using two types of information: (1) vehicle-to-vehicle (V2V) messages transmitted by multiple preceding vehicles and (2) vehicle-to-infrastructure (V2I) information broadcast by roadside equipment. The predictor’s performance was tested in a multi-vehicle traffic simulation platform, RoadRunner, previously developed by Argonne National Laboratory. The simulation results show that the proposed predictor’s improved predictions can reduce energy consumption by 5\\\\% over eco-driving with the baseline predictor.},\\n\\tnumber = {4},\\n\\tjournal = {SAE International Journal of Advances and Current Practices in Mobility},\\n\\tauthor = {Hyeon, Eunjeong and Shen, Daliang and Karbowski, Dominik and Rousseau, Aymeric},\\n\\tmonth = apr,\\n\\tyear = {2021},\\n\\tnote = {ANL},\\n\\tkeywords = {Connected and Automated Vehicles, DOE SMART, Driver Modeling, RoadRunner, Vehicle control},\\n\\tpages = {1801--1809},\\n}\\n\\n\",\"author_short\":[\"Hyeon, E.\",\"Shen, D.\",\"Karbowski, D.\",\"Rousseau, A.\"],\"key\":\"hyeon_forecasting_2021\",\"id\":\"hyeon_forecasting_2021\",\"bibbaseid\":\"hyeon-shen-karbowski-rousseau-forecastingshorttomidlengthspeedtrajectoriesofprecedingvehicleusingv2xconnectivityforecodrivingofelectricvehicles-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/gganzlbo4iaj70fxqpcsiro59hmfcmqt\"},\"keyword\":[\"Connected and Automated Vehicles\",\"DOE SMART\",\"Driver Modeling\",\"RoadRunner\",\"Vehicle control\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":11,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Detroit, MI, USA\",\"title\":\"A Real-Time Intelligent Speed Optimization Planner Using Reinforcement Learning\",\"url\":\"https://anl.box.com/s/c8ulclbcvrl5dve3yqans6vpv5onpz4v\",\"doi\":\"https://doi.org/10.4271/2021-01-0434\",\"abstract\":\"As connectivity and sensing technologies become more mature, automated vehicles can predict future driving situations and utilize this information to drive more energy-efficiently than human-driven vehicles. However, future information beyond the limited connectivity and sensing range is difficult to predict and utilize, limiting the energysaving potential of energy-efficient driving. Thus, we combine a conventional speed optimization planner, developed in our previous work, and reinforcement learning to propose a real-time intelligent speed optimization planner for connected and automated vehicles. We briefly summarize the conventional speed optimization planner with limited information, based on closed-form energy-optimal solutions, and present its multiple parameters that determine reference speed trajectories. Then, we use a deep reinforcement learning (DRL) algorithm, such as a deep Q-learning algorithm, to find the policy of how to adjust these parameters in real-time to dynamically changing situations in order to realize the full potential of energy-efficient driving. The model-free DRL algorithm, based on the experience of the system, can learn the optimal policy through iteratively interacting with different driving scenarios without increasing the limited connectivity and sensing range. The training process of the parameter adaptation policy exploits a high-fidelity simulation framework that can simulate multiple vehicles with full powertrain models and the interactions between vehicles and their environment. We consider intersection-approaching scenarios where there is one traffic light with different signal phase and timing setup. Results show that the learned optimal policy enables the proposed intelligent speed optimization planner to properly adjust the parameters in a piecewise constant manner, leading to additional energy savings without increasing total travel time compared to the conventional speed optimization planner.\",\"booktitle\":\"SAE Technical Paper 2021-01-0434\",\"publisher\":\"SAE International\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lee\"],\"firstnames\":[\"Woong\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Zhang\"],\"firstnames\":[\"Yaozhong\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kim\"],\"firstnames\":[\"Namwook\"],\"suffixes\":[]}],\"month\":\"April\",\"year\":\"2021\",\"keywords\":\"Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control\",\"bibtex\":\"@inproceedings{lee_real-time_2021,\\n\\taddress = {Detroit, MI, USA},\\n\\ttitle = {A {Real}-{Time} {Intelligent} {Speed} {Optimization} {Planner} {Using} {Reinforcement} {Learning}},\\n\\turl = {https://anl.box.com/s/c8ulclbcvrl5dve3yqans6vpv5onpz4v},\\n\\tdoi = {https://doi.org/10.4271/2021-01-0434},\\n\\tabstract = {As connectivity and sensing technologies become more mature,\\nautomated vehicles can predict future driving situations and utilize this\\ninformation to drive more energy-efficiently than human-driven\\nvehicles. However, future information beyond the limited connectivity\\nand sensing range is difficult to predict and utilize, limiting the energysaving\\npotential of energy-efficient driving. Thus, we combine a\\nconventional speed optimization planner, developed in our previous\\nwork, and reinforcement learning to propose a real-time intelligent\\nspeed optimization planner for connected and automated vehicles. We\\nbriefly summarize the conventional speed optimization planner with\\nlimited information, based on closed-form energy-optimal solutions,\\nand present its multiple parameters that determine reference speed\\ntrajectories. Then, we use a deep reinforcement learning (DRL)\\nalgorithm, such as a deep Q-learning algorithm, to find the policy of\\nhow to adjust these parameters in real-time to dynamically changing\\nsituations in order to realize the full potential of energy-efficient\\ndriving. The model-free DRL algorithm, based on the experience of\\nthe system, can learn the optimal policy through iteratively interacting\\nwith different driving scenarios without increasing the limited\\nconnectivity and sensing range. The training process of the parameter\\nadaptation policy exploits a high-fidelity simulation framework that\\ncan simulate multiple vehicles with full powertrain models and the\\ninteractions between vehicles and their environment. We consider\\nintersection-approaching scenarios where there is one traffic light with\\ndifferent signal phase and timing setup. Results show that the learned\\noptimal policy enables the proposed intelligent speed optimization\\nplanner to properly adjust the parameters in a piecewise constant\\nmanner, leading to additional energy savings without increasing total\\ntravel time compared to the conventional speed optimization planner.},\\n\\tbooktitle = {{SAE} {Technical} {Paper} 2021-01-0434},\\n\\tpublisher = {SAE International},\\n\\tauthor = {Lee, Woong and Han, Jihun and Zhang, Yaozhong and Karbowski, Dominik and Rousseau, Aymeric and Kim, Namwook},\\n\\tmonth = apr,\\n\\tyear = {2021},\\n\\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\\n}\\n\\n\",\"author_short\":[\"Lee, W.\",\"Han, J.\",\"Zhang, Y.\",\"Karbowski, D.\",\"Rousseau, A.\",\"Kim, N.\"],\"key\":\"lee_real-time_2021\",\"id\":\"lee_real-time_2021\",\"bibbaseid\":\"lee-han-zhang-karbowski-rousseau-kim-arealtimeintelligentspeedoptimizationplannerusingreinforcementlearning-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/c8ulclbcvrl5dve3yqans6vpv5onpz4v\"},\"keyword\":[\"Connected and Automated Vehicles\",\"DOE SMART\",\"RoadRunner\",\"Vehicle control\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"An optimization model for solving the route clustering problem\",\"volume\":\"220\",\"url\":\"https://doi.org/10.1016/j.procs.2023.03.025\",\"doi\":\"https://doi.org/10.1016/j.procs.2023.03.025\",\"booktitle\":\"The 14th international conference on ambient systems, networks and technologies (ANT)\",\"publisher\":\"Procedia Computer Science\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Davatgari\"],\"firstnames\":[\"Amir\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mohammadian\"],\"firstnames\":[\"Abolfazl\",\"Kouros\"],\"suffixes\":[]}],\"year\":\"2023\",\"pages\":\"180–186\",\"bibtex\":\"@inproceedings{cokyasar_optimization_2023,\\n\\ttitle = {An optimization model for solving the route clustering problem},\\n\\tvolume = {220},\\n\\turl = {https://doi.org/10.1016/j.procs.2023.03.025},\\n\\tdoi = {https://doi.org/10.1016/j.procs.2023.03.025},\\n\\tbooktitle = {The 14th international conference on ambient systems, networks and technologies ({ANT})},\\n\\tpublisher = {Procedia Computer Science},\\n\\tauthor = {Cokyasar, Taner and Davatgari, Amir and Mohammadian, Abolfazl Kouros},\\n\\tyear = {2023},\\n\\tpages = {180--186},\\n}\\n\\n\",\"author_short\":[\"Cokyasar, T.\",\"Davatgari, A.\",\"Mohammadian, A. K.\"],\"key\":\"cokyasar_optimization_2023\",\"id\":\"cokyasar_optimization_2023\",\"bibbaseid\":\"cokyasar-davatgari-mohammadian-anoptimizationmodelforsolvingtherouteclusteringproblem-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://doi.org/10.1016/j.procs.2023.03.025\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Integrating Human Factors in Dynamic Rideshare Assignment: Willingness-To-Pay for Delay\",\"booktitle\":\"Submitted for presentation at the 103rd Transportation Research Board (TRB) Annual Meeting\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Paul\"],\"firstnames\":[\"Joseph\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gurumurthy\"],\"firstnames\":[\"Krishna\",\"Murthy\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Su\"],\"firstnames\":[\"Haotian\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jia\"],\"firstnames\":[\"Yunyi\"],\"suffixes\":[]}],\"month\":\"January\",\"year\":\"2024\",\"bibtex\":\"@inproceedings{paul_integrating_2024,\\n\\ttitle = {Integrating {Human} {Factors} in {Dynamic} {Rideshare} {Assignment}: {Willingness}-{To}-{Pay} for {Delay}},\\n\\tbooktitle = {Submitted for presentation at the 103rd {Transportation} {Research} {Board} ({TRB}) {Annual} {Meeting}},\\n\\tauthor = {Paul, Joseph and Gurumurthy, Krishna Murthy and Cokyasar, Taner and Su, Haotian and Auld, Joshua and Jia, Yunyi},\\n\\tmonth = jan,\\n\\tyear = {2024},\\n}\\n\\n\",\"author_short\":[\"Paul, J.\",\"Gurumurthy, K. M.\",\"Cokyasar, T.\",\"Su, H.\",\"Auld, J.\",\"Jia, Y.\"],\"key\":\"paul_integrating_2024\",\"id\":\"paul_integrating_2024\",\"bibbaseid\":\"paul-gurumurthy-cokyasar-su-auld-jia-integratinghumanfactorsindynamicrideshareassignmentwillingnesstopayfordelay-2024\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Joint routing of conventional and range-extended electric vehicles in a large metropolitan network\",\"volume\":\"144\",\"url\":\"https://www.sciencedirect.com/science/article/pii/S0968090X22002510\",\"doi\":\"https://doi.org/10.1016/j.trc.2022.103830\",\"number\":\"103830\",\"journal\":\"Transportation Research Part C: Emerging Technologies\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Subramanyam\"],\"firstnames\":[\"Anirudh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Larson\"],\"firstnames\":[\"Jeffrey\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Stinson\"],\"firstnames\":[\"Monique\"],\"suffixes\":[]}],\"year\":\"2022\",\"bibtex\":\"@article{subramanyam_joint_2022,\\n\\ttitle = {Joint routing of conventional and range-extended electric vehicles in a large metropolitan network},\\n\\tvolume = {144},\\n\\turl = {https://www.sciencedirect.com/science/article/pii/S0968090X22002510},\\n\\tdoi = {https://doi.org/10.1016/j.trc.2022.103830},\\n\\tnumber = {103830},\\n\\tjournal = {Transportation Research Part C: Emerging Technologies},\\n\\tauthor = {Subramanyam, Anirudh and Cokyasar, Taner and Larson, Jeffrey and Stinson, Monique},\\n\\tyear = {2022},\\n}\\n\\n\",\"author_short\":[\"Subramanyam, A.\",\"Cokyasar, T.\",\"Larson, J.\",\"Stinson, M.\"],\"key\":\"subramanyam_joint_2022\",\"id\":\"subramanyam_joint_2022\",\"bibbaseid\":\"subramanyam-cokyasar-larson-stinson-jointroutingofconventionalandrangeextendedelectricvehiclesinalargemetropolitannetwork-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.sciencedirect.com/science/article/pii/S0968090X22002510\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Time-constrained capacitated vehicle routing problem in urban e-commerce delivery\",\"volume\":\"2677\",\"url\":\"https://journals.sagepub.com/doi/full/10.1177/03611981221124592\",\"doi\":\"https://doi.org/10.1177/03611981221124592\",\"number\":\"2\",\"journal\":\"Transportation Research Record\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Subramanyam\"],\"firstnames\":[\"Anirudh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Larson\"],\"firstnames\":[\"Jeffrey\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Stinson\"],\"firstnames\":[\"Monique\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sahin\"],\"firstnames\":[\"Olcay\"],\"suffixes\":[]}],\"year\":\"2023\",\"pages\":\"190–203\",\"bibtex\":\"@article{cokyasar_time-constrained_2023-1,\\n\\ttitle = {Time-constrained capacitated vehicle routing problem in urban e-commerce delivery},\\n\\tvolume = {2677},\\n\\turl = {https://journals.sagepub.com/doi/full/10.1177/03611981221124592},\\n\\tdoi = {https://doi.org/10.1177/03611981221124592},\\n\\tnumber = {2},\\n\\tjournal = {Transportation Research Record},\\n\\tauthor = {Cokyasar, Taner and Subramanyam, Anirudh and Larson, Jeffrey and Stinson, Monique and Sahin, Olcay},\\n\\tyear = {2023},\\n\\tpages = {190--203},\\n}\\n\\n\",\"author_short\":[\"Cokyasar, T.\",\"Subramanyam, A.\",\"Larson, J.\",\"Stinson, M.\",\"Sahin, O.\"],\"key\":\"cokyasar_time-constrained_2023-1\",\"id\":\"cokyasar_time-constrained_2023-1\",\"bibbaseid\":\"cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://journals.sagepub.com/doi/full/10.1177/03611981221124592\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":5,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Comparing regional energy consumption for direct drone and truck deliveries\",\"volume\":\"2677\",\"url\":\"https://journals.sagepub.com/doi/full/10.1177/03611981221145137\",\"doi\":\"https://doi.org/10.1177/03611981221145137\",\"number\":\"2\",\"journal\":\"Transportation Research Record\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Stinson\"],\"firstnames\":[\"Monique\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sahin\"],\"firstnames\":[\"Olcay\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Prabhakar\"],\"firstnames\":[\"Nirmit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]}],\"year\":\"2023\",\"pages\":\"310–327\",\"bibtex\":\"@article{cokyasar_comparing_2023,\\n\\ttitle = {Comparing regional energy consumption for direct drone and truck deliveries},\\n\\tvolume = {2677},\\n\\turl = {https://journals.sagepub.com/doi/full/10.1177/03611981221145137},\\n\\tdoi = {https://doi.org/10.1177/03611981221145137},\\n\\tnumber = {2},\\n\\tjournal = {Transportation Research Record},\\n\\tauthor = {Cokyasar, Taner and Stinson, Monique and Sahin, Olcay and Prabhakar, Nirmit and Karbowski, Dominik},\\n\\tyear = {2023},\\n\\tpages = {310--327},\\n}\\n\\n\",\"author_short\":[\"Cokyasar, T.\",\"Stinson, M.\",\"Sahin, O.\",\"Prabhakar, N.\",\"Karbowski, D.\"],\"key\":\"cokyasar_comparing_2023\",\"id\":\"cokyasar_comparing_2023\",\"bibbaseid\":\"cokyasar-stinson-sahin-prabhakar-karbowski-comparingregionalenergyconsumptionfordirectdroneandtruckdeliveries-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://journals.sagepub.com/doi/full/10.1177/03611981221145137\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Austin, TX, USA\",\"title\":\"An X-in-the-Loop (XIL) Testing Framework for Validation of Connected and Autonomous Vehicles\",\"url\":\"https://anl.box.com/s/f97c1x90ycgxj66xddgzyjyjt0pix34m\",\"booktitle\":\"IEEE International Automated Vehicle Validation Conference 2023\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Gupta\"],\"firstnames\":[\"Prakhar\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wang\"],\"firstnames\":[\"Rongyao\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ard\"],\"firstnames\":[\"Tyler\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vahidi\"],\"firstnames\":[\"Ardalan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jia\"],\"firstnames\":[\"Yunyi\"],\"suffixes\":[]}],\"month\":\"October\",\"year\":\"2023\",\"keywords\":\"CAV, Connected and Automated Vehicles, DOE SMART, Vehicle control, XIL Testing\",\"bibtex\":\"@inproceedings{gupta_x---loop_2023,\\n\\taddress = {Austin, TX, USA},\\n\\ttitle = {An {X}-in-the-{Loop} ({XIL}) {Testing} {Framework} for {Validation} of {Connected} and {Autonomous} {Vehicles}},\\n\\turl = {https://anl.box.com/s/f97c1x90ycgxj66xddgzyjyjt0pix34m},\\n\\tbooktitle = {{IEEE} {International} {Automated} {Vehicle} {Validation} {Conference} 2023},\\n\\tauthor = {Gupta, Prakhar and Wang, Rongyao and Ard, Tyler and Han, Jihun and Karbowski, Dominik and Vahidi, Ardalan and Jia, Yunyi},\\n\\tmonth = oct,\\n\\tyear = {2023},\\n\\tkeywords = {CAV, Connected and Automated Vehicles, DOE SMART, Vehicle control, XIL Testing},\\n}\\n\\n\",\"author_short\":[\"Gupta, P.\",\"Wang, R.\",\"Ard, T.\",\"Han, J.\",\"Karbowski, D.\",\"Vahidi, A.\",\"Jia, Y.\"],\"key\":\"gupta_x---loop_2023\",\"id\":\"gupta_x---loop_2023\",\"bibbaseid\":\"gupta-wang-ard-han-karbowski-vahidi-jia-anxintheloopxiltestingframeworkforvalidationofconnectedandautonomousvehicles-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/f97c1x90ycgxj66xddgzyjyjt0pix34m\"},\"keyword\":[\"CAV\",\"Connected and Automated Vehicles\",\"DOE SMART\",\"Vehicle control\",\"XIL Testing\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Deploying Fast Charging Infrastructure for Electric Vehicles in Urban Networks: An Activity-Based Approach\",\"abstract\":\"This paper explores an important problem under the domain of network modeling, the optimal configuration of charging infrastructure for electric vehicles (EVs) in urban networks considering EV users’ daily activities and charging behavior. This study proposes a charging behavior simulation model considering different initial state of charges (SOC), travel distance, availability of home chargers, and the daily schedule of trips for each traveler. The proposed charging behavior simulation model examines the complete chain of trips for EV users as well as the interdependency of trips traveled by each driver. Then, the problem of finding the optimum charging configuration is formulated as a Mixed-Integer Nonlinear Programming that considers travel time and travel distance dynamics, the interdependency of trips made by each driver, limited range of EVs, remaining battery capacity for recharging, waiting time in queue, and the detour to access a charging station. This problem is solved using a metaheuristic approach for a large-scale case network. A series of examples are presented to demonstrate the model efficacy and explore the impact of energy consumption on the final SOC and the optimum charging infrastructure.\",\"journal\":\"Transportation Research Record\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Kavianipour\"],\"firstnames\":[\"Mohammadreza\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rostami\"],\"firstnames\":[\"Alireza\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Soltanpour\"],\"firstnames\":[\"Amirali\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gurumurthy\"],\"firstnames\":[\"Krishna\",\"Murthy\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ghamami\"],\"firstnames\":[\"Mehrnaz\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Zockaie\"],\"firstnames\":[\"Ali\"],\"suffixes\":[]}],\"year\":\"2023\",\"bibtex\":\"@article{kavianipour_deploying_2023,\\n\\ttitle = {Deploying {Fast} {Charging} {Infrastructure} for {Electric} {Vehicles} in {Urban} {Networks}: {An} {Activity}-{Based} {Approach}},\\n\\tabstract = {This paper explores an important problem under the domain of network modeling, the optimal configuration of charging infrastructure for electric vehicles (EVs) in urban networks considering EV users’ daily activities and charging behavior. This study proposes a charging behavior simulation model considering different initial state of charges (SOC), travel distance, availability of home chargers, and the daily schedule of trips for each traveler. The proposed charging behavior simulation model examines the complete chain of trips for EV users as well as the interdependency of trips traveled by each driver. Then, the problem of finding the optimum charging configuration is formulated as a Mixed-Integer Nonlinear Programming that considers travel time and travel distance dynamics, the interdependency of trips made by each driver, limited range of EVs, remaining battery capacity for recharging, waiting time in queue, and the detour to access a charging station. This problem is solved using a metaheuristic approach for a large-scale case network. A series of examples are presented to demonstrate the model efficacy and explore the impact of energy consumption on the final SOC and the optimum charging infrastructure.},\\n\\tjournal = {Transportation Research Record},\\n\\tauthor = {Kavianipour, Mohammadreza and Verbas, Omer and Rostami, Alireza and Soltanpour, Amirali and Gurumurthy, Krishna Murthy and Ghamami, Mehrnaz and Zockaie, Ali},\\n\\tyear = {2023},\\n}\\n\\n\",\"author_short\":[\"Kavianipour, M.\",\"Verbas, O.\",\"Rostami, A.\",\"Soltanpour, A.\",\"Gurumurthy, K. M.\",\"Ghamami, M.\",\"Zockaie, A.\"],\"key\":\"kavianipour_deploying_2023\",\"id\":\"kavianipour_deploying_2023\",\"bibbaseid\":\"kavianipour-verbas-rostami-soltanpour-gurumurthy-ghamami-zockaie-deployingfastcharginginfrastructureforelectricvehiclesinurbannetworksanactivitybasedapproach-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Washington, D.C.\",\"title\":\"Exploring Impacts of Electricity Tariff And Power Grid Constraints On Charging Behavior And Fast Charging Infrastructure Deployment In Urban Networks: An Activity-Based Approach\",\"abstract\":\"In the past decade, electric vehicles (EVs) have experienced a significant surge in popularity as a highly efficient and environmentally friendly mode of transportation. However, EV users struggle with range anxiety and inadequate charging infrastructure. Recent advancements in battery technology and charging equipment have resulted in long-range EVs and fast-charging technology. Despite these advancements, many major cities continue to face a lack of sufficient charging infrastructure to cater to the daily urban trips of EV users. The interaction between the electricity grid demand and supply availability plays an important role to identify the appropriate locations for deployment of such infrastructure. However, most of developed models in the literature neglect this important factor. Thus, this study incorporates the integration of activity based modeling, charging behavior simulation, and charging infrastructure optimization model. The study employs POLARIS, a cutting-edge agent-based transportation model, to realistically capture user activities, trip chains, and resulting traffic patterns within a network. Additionally, a charging behavior simulation is incorporated to accurately estimate the charging demand of EVs based on their trajectories, battery performance, daily activities, and access to home charging. Next, a mathematical optimization model is reformulated to capture impacts of spatial and temporal distribution of electricity rates on the optimal deployment of charging infrastructure. Finally, the proposed framework incorporates the optimal charging station locations and number of chargers into the POLARIS platform to monitor users’ response. The framework is applied to the Chicago regional area network and rigorously tested and analyzed under various EV ownership and charging pricing scenarios.\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Rostami\"],\"firstnames\":[\"Alireza\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Soltanpour\"],\"firstnames\":[\"Amirali\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ghafarnezhad\"],\"firstnames\":[\"Behdad\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ghamami\"],\"firstnames\":[\"Mehrnaz\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Zockaie\"],\"firstnames\":[\"Ali\"],\"suffixes\":[]}],\"month\":\"August\",\"year\":\"2023\",\"bibtex\":\"@inproceedings{rostami_exploring_2023,\\n\\taddress = {Washington, D.C.},\\n\\ttitle = {Exploring {Impacts} of {Electricity} {Tariff} {And} {Power} {Grid} {Constraints} {On} {Charging} {Behavior} {And} {Fast} {Charging} {Infrastructure} {Deployment} {In} {Urban} {Networks}: {An} {Activity}-{Based} {Approach}},\\n\\tabstract = {In the past decade, electric vehicles (EVs) have experienced a significant surge in popularity as a highly efficient and environmentally friendly mode of transportation. However, EV users struggle with range anxiety and inadequate charging infrastructure. Recent advancements in battery technology and charging equipment have resulted in long-range EVs and fast-charging technology. Despite these advancements, many major cities continue to face a lack of sufficient charging infrastructure to cater to the daily urban trips of EV users. The interaction between the electricity grid demand and supply availability plays an important role to identify the appropriate locations for deployment of such infrastructure. However, most of developed models in the literature neglect this important factor. Thus, this study incorporates the integration of activity based modeling, charging behavior simulation, and charging infrastructure optimization model. The study employs POLARIS, a cutting-edge agent-based transportation model, to realistically capture user activities, trip chains, and resulting traffic patterns within a network. Additionally, a charging behavior simulation is incorporated to accurately estimate the charging demand of EVs based on their trajectories, battery performance, daily activities, and access to home charging. Next, a mathematical optimization model is reformulated to capture impacts of spatial and temporal distribution of electricity rates on the optimal deployment of charging infrastructure. Finally, the proposed framework incorporates the optimal charging station locations and number of chargers into the POLARIS platform to monitor users’ response. The framework is applied to the Chicago regional area network and rigorously tested and analyzed under various EV ownership and charging pricing scenarios.},\\n\\tauthor = {Rostami, Alireza and Verbas, Omer and Soltanpour, Amirali and Ghafarnezhad, Behdad and Ghamami, Mehrnaz and Zockaie, Ali},\\n\\tmonth = aug,\\n\\tyear = {2023},\\n}\\n\\n\",\"author_short\":[\"Rostami, A.\",\"Verbas, O.\",\"Soltanpour, A.\",\"Ghafarnezhad, B.\",\"Ghamami, M.\",\"Zockaie, A.\"],\"key\":\"rostami_exploring_2023\",\"id\":\"rostami_exploring_2023\",\"bibbaseid\":\"rostami-verbas-soltanpour-ghafarnezhad-ghamami-zockaie-exploringimpactsofelectricitytariffandpowergridconstraintsonchargingbehaviorandfastcharginginfrastructuredeploymentinurbannetworksanactivitybasedapproach-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Bilbao, Spain\",\"title\":\"Solving the Electric Vehicle Scheduling Problem at Large-Scale\",\"abstract\":\"Transit is the backbone of the transportation sector that not only reduces traffic congestion and environmental impact but also provides equity as an affordable mobility service. Bus electrification has an utmost importance to achieve global net-zero economy goals since buses are the main source of emissions in the transit sector. In this study, we revisit the single depot vehicle scheduling problem (SDVSP) to address the operational constraints electrification brings in. To this end, we follow a two-stage modeling approach: We solve an SDVSP model to form vehicle blocks in the first stage, and chain these blocks considering spatio-temporal and state-of-charge conditions in the second stage. A greedy algorithm heuristic is developed to address the complexity of the block chaining problem. Since transit agencies readily use SDVSP models to form blocks, incorporating a straightforward block chaining heuristic makes the solution approach easy to implement. An analysis conducted using this solution framework found that the electric vehicle range plays a key role in determining the fleet size. A 150-mile vehicle range allows for 98% electrification where each diesel vehicle is replaced by 1.6 electric vehicles. This also means a 25% increase in non-revenue time.\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Davatgari\"],\"firstnames\":[\"Amir\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mohammadian\"],\"firstnames\":[\"A.\",\"(Kouros)\"],\"suffixes\":[]}],\"month\":\"October\",\"year\":\"2023\",\"bibtex\":\"@inproceedings{cokyasar_solving_2023,\\n\\taddress = {Bilbao, Spain},\\n\\ttitle = {Solving the {Electric} {Vehicle} {Scheduling} {Problem} at {Large}-{Scale}},\\n\\tabstract = {Transit is the backbone of the transportation sector that not only reduces traffic congestion and environmental impact but also provides equity as an affordable mobility service. Bus electrification has an utmost importance to achieve global net-zero economy goals since buses are the main source of emissions in the transit sector. In this study, we revisit the single depot vehicle scheduling problem (SDVSP) to address the operational constraints electrification brings in. To this end, we follow a two-stage modeling approach: We solve an SDVSP model to form vehicle blocks in the first stage, and chain these blocks considering spatio-temporal and state-of-charge conditions in the second stage. A greedy algorithm heuristic is developed to address the complexity of the block chaining problem. Since transit agencies readily use SDVSP models to form blocks, incorporating a straightforward block chaining heuristic makes the solution approach easy to implement. An analysis conducted using this solution framework found that the electric vehicle range plays a key role in determining the fleet size. A 150-mile vehicle range allows for 98\\\\% electrification where each diesel vehicle is replaced by 1.6 electric vehicles. This also means a 25\\\\% increase in non-revenue time.},\\n\\tauthor = {Cokyasar, Taner and Verbas, Omer and Davatgari, Amir and Mohammadian, A. (Kouros)},\\n\\tmonth = oct,\\n\\tyear = {2023},\\n}\\n\\n\",\"author_short\":[\"Cokyasar, T.\",\"Verbas, O.\",\"Davatgari, A.\",\"Mohammadian, A. (.\"],\"key\":\"cokyasar_solving_2023\",\"id\":\"cokyasar_solving_2023\",\"bibbaseid\":\"cokyasar-verbas-davatgari-mohammadian-solvingtheelectricvehicleschedulingproblematlargescale-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"incollection\",\"type\":\"incollection\",\"title\":\"Impact of Vehicle Automation on Energy Consumption\",\"url\":\"https://anl.box.com/s/xphlw17wcn67tskl0sg7eh7iz7i3ef9q\",\"booktitle\":\"Road Vehicle Automation 9\",\"publisher\":\"Springer, Cham\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jeong\"],\"firstnames\":[\"Jongryeol\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kim\"],\"firstnames\":[\"Namdoo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Grave\"],\"firstnames\":[\"Julien\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Shen\"],\"firstnames\":[\"Daliang\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Zhang\"],\"firstnames\":[\"Yaozhong\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]}],\"year\":\"2023\",\"keywords\":\"Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control\",\"pages\":\"53–70\",\"bibtex\":\"@incollection{han_impact_2023,\\n\\ttitle = {Impact of {Vehicle} {Automation} on {Energy} {Consumption}},\\n\\turl = {https://anl.box.com/s/xphlw17wcn67tskl0sg7eh7iz7i3ef9q},\\n\\tbooktitle = {Road {Vehicle} {Automation} 9},\\n\\tpublisher = {Springer, Cham},\\n\\tauthor = {Han, Jihun and Karbowski, Dominik and Jeong, Jongryeol and Kim, Namdoo and Grave, Julien and Shen, Daliang and Zhang, Yaozhong and Rousseau, Aymeric},\\n\\tyear = {2023},\\n\\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\\n\\tpages = {53--70},\\n}\\n\\n\",\"author_short\":[\"Han, J.\",\"Karbowski, D.\",\"Jeong, J.\",\"Kim, N.\",\"Grave, J.\",\"Shen, D.\",\"Zhang, Y.\",\"Rousseau, A.\"],\"key\":\"han_impact_2023\",\"id\":\"han_impact_2023\",\"bibbaseid\":\"han-karbowski-jeong-kim-grave-shen-zhang-rousseau-impactofvehicleautomationonenergyconsumption-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/xphlw17wcn67tskl0sg7eh7iz7i3ef9q\"},\"keyword\":[\"Connected and Automated Vehicles\",\"DOE SMART\",\"RoadRunner\",\"Vehicle control\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Energy-Efficient Driving in Connected Corridors Via Minimum Principle Control: Vehicle-in-The-Loop Experimental Verification in Mixed Fleets\",\"volume\":\"8\",\"url\":\"https://anl.box.com/s/sk9c669t0190x3rx70v09fwp2zwl8p1g\",\"doi\":\"10.1109/TIV.2023.3234261\",\"number\":\"2\",\"journal\":\"IEEE Transactions on Intelligent Vehicles\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ard\"],\"firstnames\":[\"Tyler\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Guo\"],\"firstnames\":[\"Longxiang\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jia\"],\"firstnames\":[\"Yunyi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vahidi\"],\"firstnames\":[\"Ardalan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]}],\"year\":\"2023\",\"keywords\":\"Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control, XIL Workflow\",\"pages\":\"1279 – 1291\",\"bibtex\":\"@article{ard_energy-efficient_2023,\\n\\ttitle = {Energy-{Efficient} {Driving} in {Connected} {Corridors} {Via} {Minimum} {Principle} {Control}: {Vehicle}-in-{The}-{Loop} {Experimental} {Verification} in {Mixed} {Fleets}},\\n\\tvolume = {8},\\n\\turl = {https://anl.box.com/s/sk9c669t0190x3rx70v09fwp2zwl8p1g},\\n\\tdoi = {10.1109/TIV.2023.3234261},\\n\\tnumber = {2},\\n\\tjournal = {IEEE Transactions on Intelligent Vehicles},\\n\\tauthor = {Ard, Tyler and Guo, Longxiang and Han, Jihun and Jia, Yunyi and Vahidi, Ardalan and Karbowski, Dominik},\\n\\tyear = {2023},\\n\\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control, XIL Workflow},\\n\\tpages = {1279 -- 1291},\\n}\\n\\n\",\"author_short\":[\"Ard, T.\",\"Guo, L.\",\"Han, J.\",\"Jia, Y.\",\"Vahidi, A.\",\"Karbowski, D.\"],\"key\":\"ard_energy-efficient_2023\",\"id\":\"ard_energy-efficient_2023\",\"bibbaseid\":\"ard-guo-han-jia-vahidi-karbowski-energyefficientdrivinginconnectedcorridorsviaminimumprinciplecontrolvehicleintheloopexperimentalverificationinmixedfleets-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/sk9c669t0190x3rx70v09fwp2zwl8p1g\"},\"keyword\":[\"Connected and Automated Vehicles\",\"DOE SMART\",\"RoadRunner\",\"Vehicle control\",\"XIL Workflow\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Energy Impact of Connecting Multiple Signalized Intersections to Energy-Efficient Driving: Simulation and Experimental Results\",\"volume\":\"7\",\"url\":\"https://anl.box.com/s/0cozkl9bxr811kbsh3hbvubx93dpwgir\",\"doi\":\"10.1109/LCSYS.2023.3234808\",\"abstract\":\"Vehicle-to-everything (V2X) communication connects vehicles and enables collision-free and energy-efficient driving, such as eco-approaches and departures at signalized intersections. An increased connectivity range can connect multiple signalized intersections and lead to long-term energy-efficient driving using richer information. However, no published studies to date provide insights into the energy saving potential of increasing the connectivity range. In this article, we present a V2X-enabled eco-driving control that can perform multiple traffic signal ecoapproaches, and we systematically design a large-scale simulation study to quantify the energy impact of the increased V2X range for various scenarios. Simulation results show that the V2X-enabled eco-driving control can reduce energy use by up to 40%, on average, compared to the baseline, depending on road attributes and vehicle powertrain type. We validate these findings by evaluating the controller through a vehicle-in-theloop (VIL) test platform.\",\"journal\":\"IEEE Control Systems Letters\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Han\"],\"firstnames\":[\"Jihun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Shen\"],\"firstnames\":[\"Daliang\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jeong\"],\"firstnames\":[\"Jongryeol\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Russo\"],\"firstnames\":[\"Miriam\",\"Di\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kim\"],\"firstnames\":[\"Namdoo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Grave\"],\"firstnames\":[\"Julien\",\"Jean\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousseau\"],\"firstnames\":[\"Aymeric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Stutenberg\"],\"firstnames\":[\"Kevin\"],\"suffixes\":[]}],\"year\":\"2023\",\"keywords\":\"Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control\",\"pages\":\"1297 – 1302\",\"bibtex\":\"@article{han_energy_2023,\\n\\ttitle = {Energy {Impact} of {Connecting} {Multiple} {Signalized} {Intersections} to {Energy}-{Efficient} {Driving}: {Simulation} and {Experimental} {Results}},\\n\\tvolume = {7},\\n\\turl = {https://anl.box.com/s/0cozkl9bxr811kbsh3hbvubx93dpwgir},\\n\\tdoi = {10.1109/LCSYS.2023.3234808},\\n\\tabstract = {Vehicle-to-everything (V2X) communication connects vehicles and enables collision-free and energy-efficient driving, such as eco-approaches and departures at signalized intersections. An\\nincreased connectivity range can connect multiple signalized intersections and lead to long-term energy-efficient driving using richer information. However, no published studies to date\\nprovide insights into the energy saving potential of increasing the connectivity range. In this article, we present a V2X-enabled eco-driving control that can perform multiple traffic signal ecoapproaches, and we systematically design a large-scale simulation study to quantify the energy impact of the increased V2X range for various scenarios. Simulation results show that the V2X-enabled eco-driving control can reduce energy use by up to 40\\\\%, on average, compared to the baseline, depending on road attributes and vehicle powertrain type. We validate these findings by evaluating the controller through a vehicle-in-theloop (VIL) test platform.},\\n\\tjournal = {IEEE Control Systems Letters},\\n\\tauthor = {Han, Jihun and Shen, Daliang and Jeong, Jongryeol and Russo, Miriam Di and Kim, Namdoo and Grave, Julien Jean and Karbowski, Dominik and Rousseau, Aymeric and Stutenberg, Kevin},\\n\\tyear = {2023},\\n\\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\\n\\tpages = {1297 -- 1302},\\n}\\n\\n\",\"author_short\":[\"Han, J.\",\"Shen, D.\",\"Jeong, J.\",\"Russo, M. D.\",\"Kim, N.\",\"Grave, J. J.\",\"Karbowski, D.\",\"Rousseau, A.\",\"Stutenberg, K.\"],\"key\":\"han_energy_2023\",\"id\":\"han_energy_2023\",\"bibbaseid\":\"han-shen-jeong-russo-kim-grave-karbowski-rousseau-etal-energyimpactofconnectingmultiplesignalizedintersectionstoenergyefficientdrivingsimulationandexperimentalresults-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/0cozkl9bxr811kbsh3hbvubx93dpwgir\"},\"keyword\":[\"Connected and Automated Vehicles\",\"DOE SMART\",\"RoadRunner\",\"Vehicle control\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"A system of shared autonomous vehicles for Chicago\",\"volume\":\"14\",\"number\":\"1\",\"journal\":\"Journal of Transport and Land Use\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Gurumurthy\"],\"firstnames\":[\"Krishna\",\"Murthy\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kockelman\"],\"firstnames\":[\"Kara\",\"M\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"year\":\"2021\",\"pages\":\"933–948\",\"bibtex\":\"@article{gurumurthy_system_2021,\\n\\ttitle = {A system of shared autonomous vehicles for {Chicago}},\\n\\tvolume = {14},\\n\\tnumber = {1},\\n\\tjournal = {Journal of Transport and Land Use},\\n\\tauthor = {Gurumurthy, Krishna Murthy and Kockelman, Kara M and Auld, Joshua},\\n\\tyear = {2021},\\n\\tpages = {933--948},\\n}\\n\\n\",\"author_short\":[\"Gurumurthy, K. M.\",\"Kockelman, K. M\",\"Auld, J.\"],\"key\":\"gurumurthy_system_2021\",\"id\":\"gurumurthy_system_2021\",\"bibbaseid\":\"gurumurthy-kockelman-auld-asystemofsharedautonomousvehiclesforchicago-2021\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow\",\"volume\":\"13\",\"number\":\"10\",\"journal\":\"Transportation letters\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Parsa\"],\"firstnames\":[\"Amir\",\"Bahador\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Shabanpour\"],\"firstnames\":[\"Ramin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mohammadian\"],\"firstnames\":[\"Abolfazl\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Stephens\"],\"firstnames\":[\"Thomas\"],\"suffixes\":[]}],\"year\":\"2021\",\"note\":\"Publisher: Taylor & Francis\",\"pages\":\"687–695\",\"bibtex\":\"@article{parsa_data-driven_2021,\\n\\ttitle = {A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow},\\n\\tvolume = {13},\\n\\tnumber = {10},\\n\\tjournal = {Transportation letters},\\n\\tauthor = {Parsa, Amir Bahador and Shabanpour, Ramin and Mohammadian, Abolfazl and Auld, Joshua and Stephens, Thomas},\\n\\tyear = {2021},\\n\\tnote = {Publisher: Taylor \\\\& Francis},\\n\\tpages = {687--695},\\n}\\n\\n\",\"author_short\":[\"Parsa, A. B.\",\"Shabanpour, R.\",\"Mohammadian, A.\",\"Auld, J.\",\"Stephens, T.\"],\"key\":\"parsa_data-driven_2021\",\"id\":\"parsa_data-driven_2021\",\"bibbaseid\":\"parsa-shabanpour-mohammadian-auld-stephens-adatadrivenapproachtocharacterizetheimpactofconnectedandautonomousvehiclesontrafficflow-2021\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Dynamic Ride-Matching for Large-Scale Transportation Systems\",\"volume\":\"2676\",\"issn\":\"0361-1981\",\"url\":\"https://doi.org/10.1177/03611981211049422\",\"doi\":\"10.1177/03611981211049422\",\"abstract\":\"Efficient dynamic ride-matching (DRM) in large-scale transportation systems is a key driver in transport simulations to yield answers to challenging problems. Although the DRM problem is simple to solve, it quickly becomes a computationally challenging problem in large-scale transportation system simulations. Therefore, this study thoroughly examines the DRM problem dynamics and proposes an optimization-based solution framework to solve the problem efficiently. To benefit from parallel computing and reduce computational times, the problem’s network is divided into clusters utilizing a commonly used unsupervised machine learning algorithm along with a linear programming model. Then, these sub-problems are solved using another linear program to finalize the ride-matching. At the clustering level, the framework allows users adjusting cluster sizes to balance the trade-off between the computational time savings and the solution quality deviation. A case study in the Chicago Metropolitan Area, U.S., illustrates that the framework can reduce the average computational time by 58% at the cost of increasing the average pick up time by 26% compared with a system optimum, that is, non-clustered, approach. Another case study in a relatively small city, Bloomington, Illinois, U.S., shows that the framework provides quite similar results to the system-optimum approach in approximately 62% less computational time.\",\"language\":\"en\",\"number\":\"3\",\"urldate\":\"2023-08-01\",\"journal\":\"Transportation Research Record\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[\"de\"],\"lastnames\":[\"Souza\"],\"firstnames\":[\"Felipe\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]}],\"month\":\"March\",\"year\":\"2022\",\"pages\":\"172–182\",\"bibtex\":\"@article{cokyasar_dynamic_2022,\\n\\ttitle = {Dynamic {Ride}-{Matching} for {Large}-{Scale} {Transportation} {Systems}},\\n\\tvolume = {2676},\\n\\tissn = {0361-1981},\\n\\turl = {https://doi.org/10.1177/03611981211049422},\\n\\tdoi = {10.1177/03611981211049422},\\n\\tabstract = {Efficient dynamic ride-matching (DRM) in large-scale transportation systems is a key driver in transport simulations to yield answers to challenging problems. Although the DRM problem is simple to solve, it quickly becomes a computationally challenging problem in large-scale transportation system simulations. Therefore, this study thoroughly examines the DRM problem dynamics and proposes an optimization-based solution framework to solve the problem efficiently. To benefit from parallel computing and reduce computational times, the problem’s network is divided into clusters utilizing a commonly used unsupervised machine learning algorithm along with a linear programming model. Then, these sub-problems are solved using another linear program to finalize the ride-matching. At the clustering level, the framework allows users adjusting cluster sizes to balance the trade-off between the computational time savings and the solution quality deviation. A case study in the Chicago Metropolitan Area, U.S., illustrates that the framework can reduce the average computational time by 58\\\\% at the cost of increasing the average pick up time by 26\\\\% compared with a system optimum, that is, non-clustered, approach. Another case study in a relatively small city, Bloomington, Illinois, U.S., shows that the framework provides quite similar results to the system-optimum approach in approximately 62\\\\% less computational time.},\\n\\tlanguage = {en},\\n\\tnumber = {3},\\n\\turldate = {2023-08-01},\\n\\tjournal = {Transportation Research Record},\\n\\tauthor = {Cokyasar, Taner and de Souza, Felipe and Auld, Joshua and Verbas, Omer},\\n\\tmonth = mar,\\n\\tyear = {2022},\\n\\tpages = {172--182},\\n}\\n\\n\",\"author_short\":[\"Cokyasar, T.\",\"de Souza, F.\",\"Auld, J.\",\"Verbas, O.\"],\"key\":\"cokyasar_dynamic_2022\",\"id\":\"cokyasar_dynamic_2022\",\"bibbaseid\":\"cokyasar-desouza-auld-verbas-dynamicridematchingforlargescaletransportationsystems-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://doi.org/10.1177/03611981211049422\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"How do perceptions of safety and car ownership importance affect autonomous vehicle adoption?\",\"volume\":\"28\",\"journal\":\"Travel behaviour and society\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Jabbari\"],\"firstnames\":[\"Parastoo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"MacKenzie\"],\"firstnames\":[\"Don\"],\"suffixes\":[]}],\"year\":\"2022\",\"note\":\"Publisher: Elsevier\",\"pages\":\"128–140\",\"bibtex\":\"@article{jabbari_how_2022,\\n\\ttitle = {How do perceptions of safety and car ownership importance affect autonomous vehicle adoption?},\\n\\tvolume = {28},\\n\\tjournal = {Travel behaviour and society},\\n\\tauthor = {Jabbari, Parastoo and Auld, Joshua and MacKenzie, Don},\\n\\tyear = {2022},\\n\\tnote = {Publisher: Elsevier},\\n\\tpages = {128--140},\\n}\\n\\n\",\"author_short\":[\"Jabbari, P.\",\"Auld, J.\",\"MacKenzie, D.\"],\"key\":\"jabbari_how_2022\",\"id\":\"jabbari_how_2022\",\"bibbaseid\":\"jabbari-auld-mackenzie-howdoperceptionsofsafetyandcarownershipimportanceaffectautonomousvehicleadoption-2022\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"A comparison between residential relocation timing of Sydney and Chicago residents: A Bayesian survival analysis\",\"volume\":\"89\",\"journal\":\"Computers, Environment and Urban Systems\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Bostanara\"],\"firstnames\":[\"Maryam\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rashidi\"],\"firstnames\":[\"Taha\",\"Hossein\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ghasri\"],\"firstnames\":[\"Milad\"],\"suffixes\":[]}],\"year\":\"2021\",\"note\":\"Publisher: Pergamon\",\"pages\":\"101659\",\"bibtex\":\"@article{bostanara_comparison_2021,\\n\\ttitle = {A comparison between residential relocation timing of {Sydney} and {Chicago} residents: {A} {Bayesian} survival analysis},\\n\\tvolume = {89},\\n\\tjournal = {Computers, Environment and Urban Systems},\\n\\tauthor = {Bostanara, Maryam and Rashidi, Taha Hossein and Auld, Joshua and Ghasri, Milad},\\n\\tyear = {2021},\\n\\tnote = {Publisher: Pergamon},\\n\\tpages = {101659},\\n}\\n\\n\",\"author_short\":[\"Bostanara, M.\",\"Rashidi, T. H.\",\"Auld, J.\",\"Ghasri, M.\"],\"key\":\"bostanara_comparison_2021\",\"id\":\"bostanara_comparison_2021\",\"bibbaseid\":\"bostanara-rashidi-auld-ghasri-acomparisonbetweenresidentialrelocationtimingofsydneyandchicagoresidentsabayesiansurvivalanalysis-2021\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Designing a drone delivery network with automated battery swapping machines\",\"volume\":\"129\",\"issn\":\"0305-0548\",\"url\":\"https://www.sciencedirect.com/science/article/pii/S030505482030294X\",\"doi\":\"10.1016/j.cor.2020.105177\",\"abstract\":\"Drones are projected to alter last-mile delivery, but their short travel range is a concern. This study proposes a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.\",\"language\":\"en\",\"urldate\":\"2023-08-01\",\"journal\":\"Computers & Operations Research\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Dong\"],\"firstnames\":[\"Wenquan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jin\"],\"firstnames\":[\"Mingzhou\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"İsmail\",\"Ömer\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2021\",\"keywords\":\"Drone delivery, Mixed-integer nonlinear programming, Network optimization, Queueing theory\",\"pages\":\"105177\",\"bibtex\":\"@article{cokyasar_designing_2021,\\n\\ttitle = {Designing a drone delivery network with automated battery swapping machines},\\n\\tvolume = {129},\\n\\tissn = {0305-0548},\\n\\turl = {https://www.sciencedirect.com/science/article/pii/S030505482030294X},\\n\\tdoi = {10.1016/j.cor.2020.105177},\\n\\tabstract = {Drones are projected to alter last-mile delivery, but their short travel range is a concern. This study proposes a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.},\\n\\tlanguage = {en},\\n\\turldate = {2023-08-01},\\n\\tjournal = {Computers \\\\& Operations Research},\\n\\tauthor = {Cokyasar, Taner and Dong, Wenquan and Jin, Mingzhou and Verbas, İsmail Ömer},\\n\\tmonth = may,\\n\\tyear = {2021},\\n\\tkeywords = {Drone delivery, Mixed-integer nonlinear programming, Network optimization, Queueing theory},\\n\\tpages = {105177},\\n}\\n\\n\",\"author_short\":[\"Cokyasar, T.\",\"Dong, W.\",\"Jin, M.\",\"Verbas, İ. Ö.\"],\"key\":\"cokyasar_designing_2021\",\"id\":\"cokyasar_designing_2021\",\"bibbaseid\":\"cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.sciencedirect.com/science/article/pii/S030505482030294X\"},\"keyword\":[\"Drone delivery\",\"Mixed-integer nonlinear programming\",\"Network optimization\",\"Queueing theory\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Do automated vehicle (AV) enthusiasts value travel time differently from cautious travelers? an exploration of travelers’ attitudes towards AV\",\"volume\":\"45\",\"number\":\"1\",\"journal\":\"Transportation planning and technology\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Enam\"],\"firstnames\":[\"Annesha\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardeshiri\"],\"firstnames\":[\"Ali\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rashidi\"],\"firstnames\":[\"Taha\",\"H\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"year\":\"2022\",\"note\":\"Publisher: Routledge\",\"pages\":\"19–38\",\"bibtex\":\"@article{enam_automated_2022,\\n\\ttitle = {Do automated vehicle ({AV}) enthusiasts value travel time differently from cautious travelers? an exploration of travelers’ attitudes towards {AV}},\\n\\tvolume = {45},\\n\\tnumber = {1},\\n\\tjournal = {Transportation planning and technology},\\n\\tauthor = {Enam, Annesha and Ardeshiri, Ali and Rashidi, Taha H and Auld, Joshua},\\n\\tyear = {2022},\\n\\tnote = {Publisher: Routledge},\\n\\tpages = {19--38},\\n}\\n\\n\",\"author_short\":[\"Enam, A.\",\"Ardeshiri, A.\",\"Rashidi, T. 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T.\",\"Jabbari, P.\",\"Khan, N. A.\",\"MacKenzie, D.\"],\"key\":\"tu_effects_2022\",\"id\":\"tu_effects_2022\",\"bibbaseid\":\"tu-jabbari-khan-mackenzie-effectsoftriplevelcharacteristicsonautonomousvehicleownershipausanalysis-2022\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Addressing The Quality-Value-Satisfaction-Loyalty Framework In Post-Use Behaviors Of Shared E-Scooter Riders\",\"journal\":\"Transportation Research Record\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Aksari\"],\"firstnames\":[\"Sadjad\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Javadinasr\"],\"firstnames\":[\"Mohammadjavad\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mohammadian\"],\"firstnames\":[\"Abolfazl\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Khan\"],\"firstnames\":[\"Nazmul\",\"Arefin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: SAGE Publications Sage CA: Los Angeles, CA\",\"pages\":\"preparing\",\"bibtex\":\"@article{aksari_addressing_2023,\\n\\ttitle = {Addressing {The} {Quality}-{Value}-{Satisfaction}-{Loyalty} {Framework} {In} {Post}-{Use} {Behaviors} {Of} {Shared} {E}-{Scooter} {Riders}},\\n\\tjournal = {Transportation Research Record},\\n\\tauthor = {Aksari, Sadjad and Javadinasr, Mohammadjavad and Mohammadian, Abolfazl and Khan, Nazmul Arefin and Auld, Joshua},\\n\\tyear = {2023},\\n\\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\\n\\tpages = {preparing},\\n}\\n\\n\",\"author_short\":[\"Aksari, S.\",\"Javadinasr, M.\",\"Mohammadian, A.\",\"Khan, N. A.\",\"Auld, J.\"],\"key\":\"aksari_addressing_2023\",\"id\":\"aksari_addressing_2023\",\"bibbaseid\":\"aksari-javadinasr-mohammadian-khan-auld-addressingthequalityvaluesatisfactionloyaltyframeworkinpostusebehaviorsofsharedescooterriders-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"E-scooter Safety: Exploring Attitudinal Factors Affecting Risky Behavior among Shared E-scooter Riders in Chicago\",\"journal\":\"Transportation Research Record\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Asgharpour\"],\"firstnames\":[\"Sina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Javadinasr\"],\"firstnames\":[\"Mohammadjavad\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mohammadian\"],\"firstnames\":[\"Abolfazl\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Khan\"],\"firstnames\":[\"Nazmul\",\"Arefin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: SAGE Publications Sage CA: Los Angeles, CA\",\"pages\":\"preparing\",\"bibtex\":\"@article{asgharpour_e-scooter_2023,\\n\\ttitle = {E-scooter {Safety}: {Exploring} {Attitudinal} {Factors} {Affecting} {Risky} {Behavior} among {Shared} {E}-scooter {Riders} in {Chicago}},\\n\\tjournal = {Transportation Research Record},\\n\\tauthor = {Asgharpour, Sina and Javadinasr, Mohammadjavad and Mohammadian, Abolfazl and Khan, Nazmul Arefin and Auld, Joshua},\\n\\tyear = {2023},\\n\\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\\n\\tpages = {preparing},\\n}\\n\\n\",\"author_short\":[\"Asgharpour, S.\",\"Javadinasr, M.\",\"Mohammadian, A.\",\"Khan, N. A.\",\"Auld, J.\"],\"key\":\"asgharpour_e-scooter_2023\",\"id\":\"asgharpour_e-scooter_2023\",\"bibbaseid\":\"asgharpour-javadinasr-mohammadian-khan-auld-escootersafetyexploringattitudinalfactorsaffectingriskybehavioramongsharedescooterridersinchicago-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Determinants of residential mobility: an adaptive retrospective survey method\",\"volume\":\"15\",\"number\":\"2\",\"journal\":\"Transportation letters\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ghasri\"],\"firstnames\":[\"Milad\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rashidi\"],\"firstnames\":[\"Taha\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: Taylor & Francis\",\"pages\":\"129–141\",\"bibtex\":\"@article{ghasri_determinants_2023,\\n\\ttitle = {Determinants of residential mobility: an adaptive retrospective survey method},\\n\\tvolume = {15},\\n\\tnumber = {2},\\n\\tjournal = {Transportation letters},\\n\\tauthor = {Ghasri, Milad and Rashidi, Taha and Auld, Joshua},\\n\\tyear = {2023},\\n\\tnote = {Publisher: Taylor \\\\& Francis},\\n\\tpages = {129--141},\\n}\\n\\n\",\"author_short\":[\"Ghasri, M.\",\"Rashidi, T.\",\"Auld, J.\"],\"key\":\"ghasri_determinants_2023\",\"id\":\"ghasri_determinants_2023\",\"bibbaseid\":\"ghasri-rashidi-auld-determinantsofresidentialmobilityanadaptiveretrospectivesurveymethod-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Eliciting attitudinal factors affecting the continuance use of E-scooters: An empirical study in Chicago\",\"volume\":\"87\",\"journal\":\"Transportation research part F: traffic psychology and behaviour\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Javadinasr\"],\"firstnames\":[\"Mohammadjavad\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Asgharpour\"],\"firstnames\":[\"Sina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rahimi\"],\"firstnames\":[\"Ehsan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Choobchian\"],\"firstnames\":[\"Pooria\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mohammadian\"],\"firstnames\":[\"Abolfazl\",\"Kouros\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"year\":\"2022\",\"note\":\"Publisher: Pergamon\",\"pages\":\"87–101\",\"bibtex\":\"@article{javadinasr_eliciting_2022,\\n\\ttitle = {Eliciting attitudinal factors affecting the continuance use of {E}-scooters: {An} empirical study in {Chicago}},\\n\\tvolume = {87},\\n\\tjournal = {Transportation research part F: traffic psychology and behaviour},\\n\\tauthor = {Javadinasr, Mohammadjavad and Asgharpour, Sina and Rahimi, Ehsan and Choobchian, Pooria and Mohammadian, Abolfazl Kouros and Auld, Joshua},\\n\\tyear = {2022},\\n\\tnote = {Publisher: Pergamon},\\n\\tpages = {87--101},\\n}\\n\\n\",\"author_short\":[\"Javadinasr, M.\",\"Asgharpour, S.\",\"Rahimi, E.\",\"Choobchian, P.\",\"Mohammadian, A. K.\",\"Auld, J.\"],\"key\":\"javadinasr_eliciting_2022\",\"id\":\"javadinasr_eliciting_2022\",\"bibbaseid\":\"javadinasr-asgharpour-rahimi-choobchian-mohammadian-auld-elicitingattitudinalfactorsaffectingthecontinuanceuseofescootersanempiricalstudyinchicago-2022\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"The co-determination of home and workplace relocation durations using survival copula analysis\",\"volume\":\"99\",\"journal\":\"Computers, Environment and Urban Systems\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Bostanara\"],\"firstnames\":[\"Maryam\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rashidi\"],\"firstnames\":[\"Taha\",\"Hossein\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Khan\"],\"firstnames\":[\"Nazmul\",\"Arefin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ghasri\"],\"firstnames\":[\"Milad\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Grazian\"],\"firstnames\":[\"Clara\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: Pergamon\",\"pages\":\"101898\",\"bibtex\":\"@article{bostanara_co-determination_2023,\\n\\ttitle = {The co-determination of home and workplace relocation durations using survival copula analysis},\\n\\tvolume = {99},\\n\\tjournal = {Computers, Environment and Urban Systems},\\n\\tauthor = {Bostanara, Maryam and Rashidi, Taha Hossein and Khan, Nazmul Arefin and Auld, Joshua and Ghasri, Milad and Grazian, Clara},\\n\\tyear = {2023},\\n\\tnote = {Publisher: Pergamon},\\n\\tpages = {101898},\\n}\\n\\n\",\"author_short\":[\"Bostanara, M.\",\"Rashidi, T. 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A.\",\"Auld, J.\",\"Ghasri, M.\",\"Grazian, C.\"],\"key\":\"bostanara_co-determination_2023\",\"id\":\"bostanara_co-determination_2023\",\"bibbaseid\":\"bostanara-rashidi-khan-auld-ghasri-grazian-thecodeterminationofhomeandworkplacerelocationdurationsusingsurvivalcopulaanalysis-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Do people spend travel time the way they think they would? a comparative study of generic and trip-specific travel time allocation using hybrid multiple discrete continuous (MDC) framework\",\"journal\":\"Transportation Letters\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Enam\"],\"firstnames\":[\"Annesha\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rashidi\"],\"firstnames\":[\"Taha\",\"H\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: Taylor & Francis\",\"pages\":\"1–12\",\"bibtex\":\"@article{enam_people_2023,\\n\\ttitle = {Do people spend travel time the way they think they would? a comparative study of generic and trip-specific travel time allocation using hybrid multiple discrete continuous ({MDC}) framework},\\n\\tjournal = {Transportation Letters},\\n\\tauthor = {Enam, Annesha and Auld, Joshua and Rashidi, Taha H},\\n\\tyear = {2023},\\n\\tnote = {Publisher: Taylor \\\\& Francis},\\n\\tpages = {1--12},\\n}\\n\\n\",\"author_short\":[\"Enam, A.\",\"Auld, J.\",\"Rashidi, T. 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A.\",\"Auld, J.\"],\"key\":\"singh_unveiling_2023\",\"id\":\"singh_unveiling_2023\",\"bibbaseid\":\"singh-oshanreh-khan-auld-unveilingtheinfluenceoflatentfactorsonmicromobilitymodechoice-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Effects of Trip Attributes on Ridehailing Driver Trip Request Acceptance\",\"volume\":\"accepted\",\"journal\":\"International Journal of Sustainable Transportation\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Tu\"],\"firstnames\":[\"Yuanjie\",\"Tukey\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Khaloei\"],\"firstnames\":[\"Moein\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Khan\"],\"firstnames\":[\"Nazmul\",\"Arefin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"MacKenzie\"],\"firstnames\":[\"Don\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: Pergamon\",\"pages\":\"accepted\",\"bibtex\":\"@article{tu_effects_2023,\\n\\ttitle = {Effects of {Trip} {Attributes} on {Ridehailing} {Driver} {Trip} {Request} {Acceptance}},\\n\\tvolume = {accepted},\\n\\tjournal = {International Journal of Sustainable Transportation},\\n\\tauthor = {Tu, Yuanjie Tukey and Khaloei, Moein and Khan, Nazmul Arefin and MacKenzie, Don},\\n\\tyear = {2023},\\n\\tnote = {Publisher: Pergamon},\\n\\tpages = {accepted},\\n}\\n\\n\",\"author_short\":[\"Tu, Y. T.\",\"Khaloei, M.\",\"Khan, N. A.\",\"MacKenzie, D.\"],\"key\":\"tu_effects_2023\",\"id\":\"tu_effects_2023\",\"bibbaseid\":\"tu-khaloei-khan-mackenzie-effectsoftripattributesonridehailingdrivertriprequestacceptance-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"A freight asset choice model for agent-based simulation models\",\"volume\":\"220\",\"journal\":\"Procedia Computer Science\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Zuniga-Garcia\"],\"firstnames\":[\"Natalia\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ismael\"],\"firstnames\":[\"Abdelrahman\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Stinson\"],\"firstnames\":[\"Monique\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: Elsevier\",\"pages\":\"704–709\",\"bibtex\":\"@article{zuniga-garcia_freight_2023,\\n\\ttitle = {A freight asset choice model for agent-based simulation models},\\n\\tvolume = {220},\\n\\tjournal = {Procedia Computer Science},\\n\\tauthor = {Zuniga-Garcia, Natalia and Ismael, Abdelrahman and Stinson, Monique},\\n\\tyear = {2023},\\n\\tnote = {Publisher: Elsevier},\\n\\tpages = {704--709},\\n}\\n\\n\",\"author_short\":[\"Zuniga-Garcia, N.\",\"Ismael, A.\",\"Stinson, M.\"],\"key\":\"zuniga-garcia_freight_2023\",\"id\":\"zuniga-garcia_freight_2023\",\"bibbaseid\":\"zunigagarcia-ismael-stinson-afreightassetchoicemodelforagentbasedsimulationmodels-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Individual-Level Analysis Of The Integration Of E-Scooters And Transit\",\"journal\":\"Transportation Research Record\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Javadinasr\"],\"firstnames\":[\"Mohammadjavad\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Asgharpour\"],\"firstnames\":[\"Sina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mohammadian\"],\"firstnames\":[\"Abolfazl\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Khan\"],\"firstnames\":[\"Nazmul\",\"Arefin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: SAGE Publications Sage CA: Los Angeles, CA\",\"pages\":\"preparing\",\"bibtex\":\"@article{javadinasr_individual-level_2023,\\n\\ttitle = {Individual-{Level} {Analysis} {Of} {The} {Integration} {Of} {E}-{Scooters} {And} {Transit}},\\n\\tjournal = {Transportation Research Record},\\n\\tauthor = {Javadinasr, Mohammadjavad and Asgharpour, Sina and Mohammadian, Abolfazl and Khan, Nazmul Arefin and Auld, Joshua},\\n\\tyear = {2023},\\n\\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\\n\\tpages = {preparing},\\n}\\n\\n\",\"author_short\":[\"Javadinasr, M.\",\"Asgharpour, S.\",\"Mohammadian, A.\",\"Khan, N. A.\",\"Auld, J.\"],\"key\":\"javadinasr_individual-level_2023\",\"id\":\"javadinasr_individual-level_2023\",\"bibbaseid\":\"javadinasr-asgharpour-mohammadian-khan-auld-individuallevelanalysisoftheintegrationofescootersandtransit-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Modeling Household-Level Party Choice Behavior for Multiparty Activities: A Random Parameter Nested Logit Modeling Approach\",\"journal\":\"Transportation Letters\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Khan\"],\"firstnames\":[\"Nazmul\",\"Arefin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: Taylor & Francis\",\"pages\":\"under–review\",\"bibtex\":\"@article{khan_modeling_2023,\\n\\ttitle = {Modeling {Household}-{Level} {Party} {Choice} {Behavior} for {Multiparty} {Activities}: {A} {Random} {Parameter} {Nested} {Logit} {Modeling} {Approach}},\\n\\tjournal = {Transportation Letters},\\n\\tauthor = {Khan, Nazmul Arefin and Auld, Joshua},\\n\\tyear = {2023},\\n\\tnote = {Publisher: Taylor \\\\& Francis},\\n\\tpages = {under--review},\\n}\\n\\n\",\"author_short\":[\"Khan, N. A.\",\"Auld, J.\"],\"key\":\"khan_modeling_2023\",\"id\":\"khan_modeling_2023\",\"bibbaseid\":\"khan-auld-modelinghouseholdlevelpartychoicebehaviorformultipartyactivitiesarandomparameternestedlogitmodelingapproach-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Investigating Long-Distance Travel Patterns: Factors Shaping Trip Frequency, Start Time Preferences, Mode Choice And Destination Location Choices\",\"journal\":\"Transportation Research Record\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mohammadi\"],\"firstnames\":[\"Motahare\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Khan\"],\"firstnames\":[\"Nazmul\",\"Arefin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Davatgari\"],\"firstnames\":[\"Amir\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mohammadian\"],\"firstnames\":[\"Abolfazl\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: SAGE Publications Sage CA: Los Angeles, CA\",\"pages\":\"preparing\",\"bibtex\":\"@article{mohammadi_investigating_2023,\\n\\ttitle = {Investigating {Long}-{Distance} {Travel} {Patterns}: {Factors} {Shaping} {Trip} {Frequency}, {Start} {Time} {Preferences}, {Mode} {Choice} {And} {Destination} {Location} {Choices}},\\n\\tjournal = {Transportation Research Record},\\n\\tauthor = {Mohammadi, Motahare and Khan, Nazmul Arefin and Davatgari, Amir and Mohammadian, Abolfazl and Auld, Joshua},\\n\\tyear = {2023},\\n\\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\\n\\tpages = {preparing},\\n}\\n\\n\",\"author_short\":[\"Mohammadi, M.\",\"Khan, N. A.\",\"Davatgari, A.\",\"Mohammadian, A.\",\"Auld, J.\"],\"key\":\"mohammadi_investigating_2023\",\"id\":\"mohammadi_investigating_2023\",\"bibbaseid\":\"mohammadi-khan-davatgari-mohammadian-auld-investigatinglongdistancetravelpatternsfactorsshapingtripfrequencystarttimepreferencesmodechoiceanddestinationlocationchoices-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Tour-Level Mode Choices and Their Impact on Car Ownership Decisions\",\"journal\":\"Transportation Research Record\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Oshanreh\"],\"firstnames\":[\"Mohammad\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Singh\"],\"firstnames\":[\"Rubina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Khan\"],\"firstnames\":[\"Nazmul\",\"Arefin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: SAGE Publications Sage CA: Los Angeles, CA\",\"pages\":\"preparing\",\"bibtex\":\"@article{oshanreh_tour-level_2023,\\n\\ttitle = {Tour-{Level} {Mode} {Choices} and {Their} {Impact} on {Car} {Ownership} {Decisions}},\\n\\tjournal = {Transportation Research Record},\\n\\tauthor = {Oshanreh, Mohammad and Singh, Rubina and Khan, Nazmul Arefin and Auld, Joshua},\\n\\tyear = {2023},\\n\\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\\n\\tpages = {preparing},\\n}\\n\\n\",\"author_short\":[\"Oshanreh, M.\",\"Singh, R.\",\"Khan, N. A.\",\"Auld, J.\"],\"key\":\"oshanreh_tour-level_2023\",\"id\":\"oshanreh_tour-level_2023\",\"bibbaseid\":\"oshanreh-singh-khan-auld-tourlevelmodechoicesandtheirimpactoncarownershipdecisions-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Do We Care as Much to Pay to Stay Productive Travelling on an AV\",\"journal\":\"Transportation Research Part A: Policy and Practice\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Shakeel\"],\"firstnames\":[\"Kiran\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Khan\"],\"firstnames\":[\"Nazmul\",\"Arefin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardeshiri\"],\"firstnames\":[\"Ali\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rashidi\"],\"firstnames\":[\"Taha\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Publisher: Pergamon\",\"pages\":\"under–review\",\"bibtex\":\"@article{shakeel_we_2023,\\n\\ttitle = {Do {We} {Care} as {Much} to {Pay} to {Stay} {Productive} {Travelling} on an {AV}},\\n\\tjournal = {Transportation Research Part A: Policy and Practice},\\n\\tauthor = {Shakeel, Kiran and Khan, Nazmul Arefin and Ardeshiri, Ali and Rashidi, Taha},\\n\\tyear = {2023},\\n\\tnote = {Publisher: Pergamon},\\n\\tpages = {under--review},\\n}\\n\\n\",\"author_short\":[\"Shakeel, K.\",\"Khan, N. A.\",\"Ardeshiri, A.\",\"Rashidi, T.\"],\"key\":\"shakeel_we_2023\",\"id\":\"shakeel_we_2023\",\"bibbaseid\":\"shakeel-khan-ardeshiri-rashidi-dowecareasmuchtopaytostayproductivetravellingonanav-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Washington, D.C.\",\"title\":\"LC-ABM: A Lagrangian Coordinates Model for Large-Scale Heterogeneous Traffic\",\"abstract\":\"Agent-based modeling has become increasingly prevalent in the field of transportation systems simulation as the scenarios around new technologies and policies that such models are applied to become increasingly complex. This increased complexity, in terms of traveler behavior, traffic flow, modal operations, system management, and so on, requires increasingly sensitive and detailed representation of the core components of the simulation, especially as it relates to traffic flow. Many future mobility solutions rely on connectivity, communication, advanced sensing and detailed information flows, which all need to be included, while the simulation also need to remain computationally efficient. In this paper we propose an new Lagrangian-Coordinate Agent-based model (LC-ABM) of traffic flow which combines computational efficiency while capturing vehicle interactions within a link through a reparameterization of the fundamental flow diagram as speed-spacing relation. This model enables and individual vehicle’s position to be tracked throughout each link while still maintaining consistency with the overall fundamental flow properties. This model allows multi-class traffic flow by allowing individual vehicle types to maintain different speed-spacing relationships, and also allows for mid-lane blockages and other bottlenecks by allowing the capacity within the link to vary at specified points. This advantage of the LC-ABM traffic flow model is demonstrated through a study of on-demand pick-up and drop-off trips in Bloomington, IL. We demonstrate the impact of different TNC penetration rate, number of trips and drop-off dwell time on overall network speed, and show that the model is capable of representing this phenomenon.\",\"author\":[{\"propositions\":[\"de\"],\"lastnames\":[\"Souza\"],\"firstnames\":[\"Felipe\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gurumurthy\"],\"firstnames\":[\"Krishna\",\"M.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"month\":\"August\",\"year\":\"2023\",\"bibtex\":\"@inproceedings{de_souza_lc-abm_2023,\\n\\taddress = {Washington, D.C.},\\n\\ttitle = {{LC}-{ABM}: {A} {Lagrangian} {Coordinates} {Model} for {Large}-{Scale} {Heterogeneous} {Traffic}},\\n\\tabstract = {Agent-based modeling has become increasingly prevalent in the field of transportation systems simulation as the scenarios around new technologies and policies that such models are applied to become increasingly complex. This increased complexity, in terms of traveler behavior, traffic flow, modal operations, system management, and so on, requires increasingly sensitive and detailed representation of the core components of the simulation, especially as it relates to traffic flow. Many future mobility solutions rely on connectivity, communication, advanced sensing and detailed information flows, which all need to be included, while the simulation also need to remain computationally efficient. In this paper we propose an new Lagrangian-Coordinate Agent-based model (LC-ABM) of traffic flow which combines computational efficiency while capturing vehicle interactions within a link through a reparameterization of the fundamental flow diagram as speed-spacing relation. This model enables and individual vehicle’s position to be tracked throughout each link while still maintaining consistency with the overall fundamental flow properties. This model allows multi-class traffic flow by allowing individual vehicle types to maintain different speed-spacing relationships, and also allows for mid-lane blockages and other bottlenecks by allowing the capacity within the link to vary at specified points. This advantage of the LC-ABM traffic flow model is demonstrated through a study of on-demand pick-up and drop-off trips in Bloomington, IL. We demonstrate the impact of different TNC penetration rate, number of trips and drop-off dwell time on overall network speed, and show that the model is capable of representing this phenomenon.},\\n\\tauthor = {de Souza, Felipe and Gurumurthy, Krishna M. and Verbas, Omer and Auld, Joshua},\\n\\tmonth = aug,\\n\\tyear = {2023},\\n}\\n\\n\",\"author_short\":[\"de Souza, F.\",\"Gurumurthy, K. M.\",\"Verbas, O.\",\"Auld, J.\"],\"key\":\"de_souza_lc-abm_2023\",\"id\":\"de_souza_lc-abm_2023\",\"bibbaseid\":\"desouza-gurumurthy-verbas-auld-lcabmalagrangiancoordinatesmodelforlargescaleheterogeneoustraffic-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Washington, D.C.\",\"title\":\"On-demand Ride-pooling with Walking Legs: Decomposition Approach for Dynamic Matching and Virtual Stops Selection\",\"abstract\":\"Door-to-door (D2D) ride-hailing services currently dominate the mobility-on-demand (MOD) market, but several alternative MOD service types offer operational and societal benefits. Three such MOD services include D2D ride-pooling, corner-to-corner (C2C) ride-hailing, and C2C ride-pooling. C2C service requires travelers to walk a short distance to/from a pickup/drop-off location. The goals of this study are two-fold. First, we compare these four MOD services in terms of operator costs (e.g., vehicle kilometers per request served) and user costs (e.g., assignment time, wait time, walk time, and invehicle time). Second, we develop an effective and scalable decision policy and solution algorithm for operating a C2C ride-pooling service. At each decision epoch, the operator must dynamically assign vehicles to requests, route and schedule vehicles, and assign travelers to pickup and drop-off (PUDO) locations. To address this problem, we propose decomposing the problem into a matching, routing, and scheduling subproblem, and a PUDO locations selection subproblem. We use geographic, network, and vehicle information, as well as optimization techniques to solve the two subproblems. The computational experiments confirm a clear trade-off across the four services in terms of operator costs and user costs. With D2D ridehailing as the baseline, (i) ride-pooling significantly reduces operator costs, while slightly increasing user costs; (ii) C2C slightly reduces operator costs while increasing user costs; (iii) combining ride-pooling and C2C appears to provide additive benefits in terms of operator costs.\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Sarma\"],\"firstnames\":[\"Navjyoth\",\"J.S\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gurumurthy\"],\"firstnames\":[\"Krishna\",\"M.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hyland\"],\"firstnames\":[\"Michael\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bahk\"],\"firstnames\":[\"Younghun\"],\"suffixes\":[]},{\"propositions\":[\"de\"],\"lastnames\":[\"Souza\"],\"firstnames\":[\"Felipe\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wang\"],\"firstnames\":[\"Zifan\"],\"suffixes\":[]}],\"month\":\"August\",\"year\":\"2023\",\"bibtex\":\"@inproceedings{sarma_-demand_2023,\\n\\taddress = {Washington, D.C.},\\n\\ttitle = {On-demand {Ride}-pooling with {Walking} {Legs}: {Decomposition} {Approach} for {Dynamic} {Matching} and {Virtual} {Stops} {Selection}},\\n\\tabstract = {Door-to-door (D2D) ride-hailing services currently dominate the mobility-on-demand (MOD) market, but several alternative MOD service types offer operational and societal benefits. Three such MOD services include D2D ride-pooling, corner-to-corner (C2C) ride-hailing, and C2C ride-pooling. C2C service requires travelers to walk a short distance to/from a pickup/drop-off location. The goals of this study are two-fold. First, we compare these four MOD services in terms of operator costs (e.g., vehicle kilometers per request served) and user costs (e.g., assignment time, wait time, walk time, and invehicle time). Second, we develop an effective and scalable decision policy and solution algorithm for operating a C2C ride-pooling service. At each decision epoch, the operator must dynamically assign vehicles to requests, route and schedule vehicles, and assign travelers to pickup and drop-off (PUDO) locations. To address this problem, we propose decomposing the problem into a matching, routing, and scheduling subproblem, and a PUDO locations selection subproblem. We use geographic, network, and vehicle information, as well as optimization techniques to solve the two subproblems. The computational experiments confirm a clear trade-off across the four services in terms of operator costs and user costs. With D2D ridehailing as the baseline, (i) ride-pooling significantly reduces operator costs, while slightly increasing user costs; (ii) C2C slightly reduces operator costs while increasing user costs; (iii) combining ride-pooling and C2C appears to provide additive benefits in terms of operator costs.},\\n\\tauthor = {Sarma, Navjyoth J.S and Gurumurthy, Krishna M. and Hyland, Michael and Bahk, Younghun and de Souza, Felipe and Verbas, Omer and Wang, Zifan},\\n\\tmonth = aug,\\n\\tyear = {2023},\\n}\\n\\n\",\"author_short\":[\"Sarma, N. J.\",\"Gurumurthy, K. M.\",\"Hyland, M.\",\"Bahk, Y.\",\"de Souza, F.\",\"Verbas, O.\",\"Wang, Z.\"],\"key\":\"sarma_-demand_2023\",\"id\":\"sarma_-demand_2023\",\"bibbaseid\":\"sarma-gurumurthy-hyland-bahk-desouza-verbas-wang-ondemandridepoolingwithwalkinglegsdecompositionapproachfordynamicmatchingandvirtualstopsselection-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Washington, D.C.\",\"title\":\"Heuristic Approaches for The Electric Vehicle Scheduling Problem: Large-Scale Application With Next Day Operability Constraints\",\"abstract\":\"This study focuses on the single depot electric vehicle scheduling problem (SDEVSP) within the broader context of the vehicle scheduling problem (VSP). By developing an effective scheduling model using mixed-integer linear programming (MILP), we generate bus blocks (tours) that accommodate EVs, ensuring successful completion of each block while considering recharging requirements between blocks and during offhours. Next day operability constraints are also incorporated, allowing for seamless repetition of blocks on subsequent days. The SDEVSP is known to be computationally complex, deriving optimal solutions unattainable for large-scale problems within reasonable timeframes. To address this, we propose a two-step solution approach: first solving the single depot VSP with time constraints (SDVSPTC), and then addressing the block chaining problem (BCP) using the blocks generated in the first step. The BCP focuses on optimizing block combinations to facilitate recharging between consecutive blocks, considering operational constraints.\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Davatgari\"],\"firstnames\":[\"Amir\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mohammadian\"],\"firstnames\":[\"Abolfazl\",\"(Kouros)\"],\"suffixes\":[]}],\"month\":\"August\",\"year\":\"2023\",\"bibtex\":\"@inproceedings{davatgari_heuristic_2023,\\n\\taddress = {Washington, D.C.},\\n\\ttitle = {Heuristic {Approaches} for {The} {Electric} {Vehicle} {Scheduling} {Problem}: {Large}-{Scale} {Application} {With} {Next} {Day} {Operability} {Constraints}},\\n\\tabstract = {This study focuses on the single depot electric vehicle scheduling problem (SDEVSP) within the broader context of the vehicle scheduling problem (VSP). By developing an effective scheduling model using mixed-integer linear programming (MILP), we generate bus blocks (tours) that accommodate EVs, ensuring successful completion of each block while considering recharging requirements between blocks and during offhours. Next day operability constraints are also incorporated, allowing for seamless repetition of blocks on subsequent days. The SDEVSP is known to be computationally complex, deriving optimal solutions unattainable for large-scale problems within reasonable timeframes. To address this, we propose a two-step solution approach: first solving the single depot VSP with time constraints (SDVSPTC), and then addressing the block chaining problem (BCP) using the blocks generated in the first step. The BCP focuses on optimizing block combinations to facilitate recharging between consecutive blocks, considering operational constraints.},\\n\\tauthor = {Davatgari, Amir and Cokyasar, Taner and Verbas, Omer and Mohammadian, Abolfazl (Kouros)},\\n\\tmonth = aug,\\n\\tyear = {2023},\\n}\\n\\n\",\"author_short\":[\"Davatgari, A.\",\"Cokyasar, T.\",\"Verbas, O.\",\"Mohammadian, A. (.\"],\"key\":\"davatgari_heuristic_2023\",\"id\":\"davatgari_heuristic_2023\",\"bibbaseid\":\"davatgari-cokyasar-verbas-mohammadian-heuristicapproachesfortheelectricvehicleschedulingproblemlargescaleapplicationwithnextdayoperabilityconstraints-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Washington, D.C.\",\"title\":\"Framework For Analyzing Equity-Concerns Related to Mobility On-Demand\",\"abstract\":\"This study looks at the concept of equity in the context of urban transportation, particularly focusing on Mobility on-Demand (MoD) simulations. MoD services, such as ride-hailing and shared autonomous vehicles, have the potential to transform transportation systems, offering new opportunities to enhance equity while reducing transport externalities. However, a comprehensive assessment of the equity impacts resulting from the integration of these services into various transport scenarios is lacking in most MoD simulations. Even though this is essential in informing policy and decision-making, as MoD impacts on equity are complex and depend on various factors, including service availability, affordability, accessibility, and their interaction with existing transportation modes. Therefore, this study presents a framework for evaluating and quantifying equity impact in MoD simulations. Several metrics are defined, such as demographic equity, spatial equity distribution, spatial regression analysis, hotspots and coldspots cluster identification and social inclusion analysis. The effectiveness of this framework is presented using a first-mile-last-mile subsidy case study for two US regions, Austin and Chicago. The findings from these case studies underscored the importance of equityfocused assessments in simulating MoD policy scenarios. And how it is essential to take into account the varying needs of different sociodemographic groups and ensure that the services are distributed in a manner that improves accessibility and affordability for all, particularly the most vulnerable groups.\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Kagho\"],\"firstnames\":[\"Grace\",\"O.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gurumurthy\"],\"firstnames\":[\"Krishna\",\"M.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"month\":\"August\",\"year\":\"2023\",\"bibtex\":\"@inproceedings{kagho_framework_2023,\\n\\taddress = {Washington, D.C.},\\n\\ttitle = {Framework {For} {Analyzing} {Equity}-{Concerns} {Related} to {Mobility} {On}-{Demand}},\\n\\tabstract = {This study looks at the concept of equity in the context of urban transportation, particularly focusing on Mobility on-Demand (MoD) simulations. MoD services, such as ride-hailing and shared autonomous vehicles, have the potential to transform transportation systems, offering new opportunities to enhance equity while reducing transport externalities. However, a comprehensive assessment of the equity impacts resulting from the integration of these services into various transport scenarios is lacking in most MoD simulations. Even though this is essential in informing policy and decision-making, as MoD impacts on equity are complex and depend on various factors, including service availability, affordability, accessibility, and their interaction with existing transportation modes. Therefore, this study presents a framework for evaluating and quantifying equity impact in MoD simulations. Several metrics are defined, such as demographic equity, spatial equity distribution, spatial regression analysis, hotspots and coldspots cluster identification and social inclusion analysis. The effectiveness of this framework is presented using a first-mile-last-mile subsidy case study for two US regions, Austin and Chicago. The findings from these case studies underscored the importance of equityfocused assessments in simulating MoD policy scenarios. And how it is essential to take into account the varying needs of different sociodemographic groups and ensure that the services are distributed in a manner that improves accessibility and affordability for all, particularly the most vulnerable groups.},\\n\\tauthor = {Kagho, Grace O. and Gurumurthy, Krishna M. and Verbas, Omer and Auld, Joshua},\\n\\tmonth = aug,\\n\\tyear = {2023},\\n}\\n\\n\",\"author_short\":[\"Kagho, G. O.\",\"Gurumurthy, K. M.\",\"Verbas, O.\",\"Auld, J.\"],\"key\":\"kagho_framework_2023\",\"id\":\"kagho_framework_2023\",\"bibbaseid\":\"kagho-gurumurthy-verbas-auld-frameworkforanalyzingequityconcernsrelatedtomobilityondemand-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Complex Adaptive Systems\",\"volume\":\"121\",\"issn\":\"0011-5266\",\"url\":\"https://www.jstor.org/stable/20025416\",\"number\":\"1\",\"urldate\":\"2023-08-02\",\"journal\":\"Daedalus\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Holland\"],\"firstnames\":[\"John\",\"H.\"],\"suffixes\":[]}],\"year\":\"1992\",\"note\":\"Publisher: The MIT Press\",\"pages\":\"17–30\",\"bibtex\":\"@article{holland_complex_1992,\\n\\ttitle = {Complex {Adaptive} {Systems}},\\n\\tvolume = {121},\\n\\tissn = {0011-5266},\\n\\turl = {https://www.jstor.org/stable/20025416},\\n\\tnumber = {1},\\n\\turldate = {2023-08-02},\\n\\tjournal = {Daedalus},\\n\\tauthor = {Holland, John H.},\\n\\tyear = {1992},\\n\\tnote = {Publisher: The MIT Press},\\n\\tpages = {17--30},\\n}\\n\\n\",\"author_short\":[\"Holland, J. H.\"],\"key\":\"holland_complex_1992\",\"id\":\"holland_complex_1992\",\"bibbaseid\":\"holland-complexadaptivesystems-1992\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.jstor.org/stable/20025416\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Washington, D.C.\",\"title\":\"An Integrated Transportation-Power System Model for a Decarbonizing World\",\"abstract\":\"The increasing demand for electricity from electric vehicles (EVs) will require new paradigms to guarantee reliable and low-cost electricity. This study evaluated an approach to coupling an agent-based travel demand simulator and an electricity grid model to assess the economic costs of supplying power to meet this additional demand in Chicago. The study found that shifting from personal EVs to a fleet of shared, fully-automated all-electric vehicles (SAEVs) could lower per-mile emissions, congestion, and embodied vehicle and charging infrastructure emissions. The results should compel policymakers to shift the cost of providing power onto commercial customers, like electric ride-hail fleets, through price-indexed electricity prices, which can shift charging to off-peak periods or away from resource-scarce hours.\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Dean\"],\"firstnames\":[\"Matthew\",\"D.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gurumurthy\"],\"firstnames\":[\"Krishna\",\"M.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Zhou\"],\"firstnames\":[\"Zhi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kockelman\"],\"firstnames\":[\"Kara\",\"M.\"],\"suffixes\":[]}],\"month\":\"August\",\"year\":\"2023\",\"bibtex\":\"@inproceedings{dean_integrated_2023,\\n\\taddress = {Washington, D.C.},\\n\\ttitle = {An {Integrated} {Transportation}-{Power} {System} {Model} for a {Decarbonizing} {World}},\\n\\tabstract = {The increasing demand for electricity from electric vehicles (EVs) will require new paradigms to guarantee reliable and low-cost electricity. This study evaluated an approach to coupling an agent-based travel demand simulator and an electricity grid model to assess the economic costs of supplying power to meet this additional demand in Chicago. The study found that shifting from personal EVs to a fleet of shared, fully-automated all-electric vehicles (SAEVs) could lower per-mile emissions, congestion, and embodied vehicle and charging infrastructure emissions. The results should compel policymakers to shift the cost of providing power onto commercial customers, like electric ride-hail fleets, through price-indexed electricity prices, which can shift charging to off-peak periods or away from resource-scarce hours.},\\n\\tauthor = {Dean, Matthew D. and Gurumurthy, Krishna M. and Zhou, Zhi and Verbas, Omer and Cokyasar, Taner and Kockelman, Kara M.},\\n\\tmonth = aug,\\n\\tyear = {2023},\\n}\\n\\n\",\"author_short\":[\"Dean, M. D.\",\"Gurumurthy, K. M.\",\"Zhou, Z.\",\"Verbas, O.\",\"Cokyasar, T.\",\"Kockelman, K. M.\"],\"key\":\"dean_integrated_2023\",\"id\":\"dean_integrated_2023\",\"bibbaseid\":\"dean-gurumurthy-zhou-verbas-cokyasar-kockelman-anintegratedtransportationpowersystemmodelforadecarbonizingworld-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Washington, D.C.\",\"title\":\"Can Redesigning Public Transit Network with Shared Autonomous Mobility Services Improve Equity?\",\"abstract\":\"Against the backdrop of inequitable transit access and declining transit ridership in North America, this study examines the potential of transit redesign with shared autonomous mobility services (SAMS) to improve equity on top of general performance. Using the origin-destination travel time in Chicago metropolitan area modeled with multimodal transit design before and after infrastructure investment with SAMS, we investigate multiple metrics including travel time and accessible opportunities score to evaluate horizontal and vertical equity improvement. With constructs including magnitude difference, transit-to-driving ratio, and Lorenz Curve and Gini Index, the transit access gap across zones and between transit users and drivers is found to be reduced. Differential improvement in equity is seen across suburbs and areas of the city. The findings underscore the importance of geospatial and equity considerations in transit design. Measures from multiple dimensions should be employed in equity analysis to understand the benefits associated with transit planning and investment.\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ng\"],\"firstnames\":[\"T.M.\"],\"suffixes\":[\"Max\"]},{\"propositions\":[],\"lastnames\":[\"Raymer\"],\"firstnames\":[\"Meredith\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mahmassani\"],\"firstnames\":[\"Hani\",\"S.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]}],\"month\":\"August\",\"year\":\"2023\",\"bibtex\":\"@inproceedings{ng_can_2023,\\n\\taddress = {Washington, D.C.},\\n\\ttitle = {Can {Redesigning} {Public} {Transit} {Network} with {Shared} {Autonomous} {Mobility} {Services} {Improve} {Equity}?},\\n\\tabstract = {Against the backdrop of inequitable transit access and declining transit ridership in North America, this study examines the potential of transit redesign with shared autonomous mobility services (SAMS) to improve equity on top of general performance. Using the origin-destination travel time in Chicago metropolitan area modeled with multimodal transit design before and after infrastructure investment with SAMS, we investigate multiple metrics including travel time and accessible opportunities score to evaluate horizontal and vertical equity improvement. With constructs including magnitude difference, transit-to-driving ratio, and Lorenz Curve and Gini Index, the transit access gap across zones and between transit users and drivers is found to be reduced. Differential improvement in equity is seen across suburbs and areas of the city. The findings underscore the importance of geospatial and equity considerations in transit design. Measures from multiple dimensions should be employed in equity analysis to understand the benefits associated with transit planning and investment.},\\n\\tauthor = {Ng, T.M., Max and Raymer, Meredith and Mahmassani, Hani S. and Verbas, Omer and Cokyasar, Taner},\\n\\tmonth = aug,\\n\\tyear = {2023},\\n}\\n\\n\",\"author_short\":[\"Ng, T.\",\"Raymer, M.\",\"Mahmassani, H. S.\",\"Verbas, O.\",\"Cokyasar, T.\"],\"key\":\"ng_can_2023\",\"id\":\"ng_can_2023\",\"bibbaseid\":\"ng-raymer-mahmassani-verbas-cokyasar-canredesigningpublictransitnetworkwithsharedautonomousmobilityservicesimproveequity-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Washington, D.C.\",\"title\":\"Validating POLARIS Ride-hail Simulation through Back-casting in Chicago\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[\"de\"],\"lastnames\":[\"Souza\"],\"firstnames\":[\"Felipe\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Enam\"],\"firstnames\":[\"Annesha\"],\"suffixes\":[]}],\"year\":\"2021\",\"bibtex\":\"@inproceedings{auld_validating_2021,\\n\\taddress = {Washington, D.C.},\\n\\ttitle = {Validating {POLARIS} {Ride}-hail {Simulation} through {Back}-casting in {Chicago}},\\n\\tauthor = {Auld, Joshua and Verbas, Omer and de Souza, Felipe and Enam, Annesha},\\n\\tyear = {2021},\\n}\\n\\n\",\"author_short\":[\"Auld, J.\",\"Verbas, O.\",\"de Souza, F.\",\"Enam, A.\"],\"key\":\"auld_validating_2021\",\"id\":\"auld_validating_2021\",\"bibbaseid\":\"auld-verbas-desouza-enam-validatingpolarisridehailsimulationthroughbackcastinginchicago-2021\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"incollection\",\"type\":\"incollection\",\"address\":\"Oxford\",\"title\":\"Autonomous Vehicles and Transportation Modeling\",\"isbn\":\"978-0-08-102672-4\",\"url\":\"https://www.sciencedirect.com/science/article/pii/B9780081026717103835\",\"abstract\":\"The era of connected and automated vehicle (CAV) seems to be quickly approaching. The implications of CAV technology is often times speculated to be as disruptive as the consequences of the invention of automobile. CAV is thought to bring changes in every sector of transportation system—starting with the traffic flow characteristics, to the day-to-day travel behavior, distribution of land use, as well as changes in mechanisms for system level control. However, there exists wide range of uncertainties about the factors relating to CAV deployment, operation and adoption. As a result considerable research has been undertaken to understand the implications of different ranges of assumption on travel demand, regional mobility, energy use, and emissions using a variety of transportation models. This paper provides a concise summary of the broad range of assumptions related to CAV deployment, and their implications on regional mobility. The paper also attempts to identify different modeling techniques adopted to study CAV implications. The paper concludes with a narration of the limitations of the existing studies and the scope for future research.\",\"language\":\"en\",\"urldate\":\"2023-08-01\",\"booktitle\":\"International Encyclopedia of Transportation\",\"publisher\":\"Elsevier\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Enam\"],\"firstnames\":[\"Annesha\"],\"suffixes\":[]},{\"propositions\":[\"de\"],\"lastnames\":[\"Souza\"],\"firstnames\":[\"Felipe\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Stinson\"],\"firstnames\":[\"Monique\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"editor\":[{\"propositions\":[],\"lastnames\":[\"Vickerman\"],\"firstnames\":[\"Roger\"],\"suffixes\":[]}],\"month\":\"January\",\"year\":\"2021\",\"doi\":\"10.1016/B978-0-08-102671-7.10383-5\",\"keywords\":\"Activity-based modeling, Autonomous vehicles, Land use, Modeling, Simulation, System control, Traffic flow, Travel demand\",\"pages\":\"557–563\",\"bibtex\":\"@incollection{enam_autonomous_2021,\\n\\taddress = {Oxford},\\n\\ttitle = {Autonomous {Vehicles} and {Transportation} {Modeling}},\\n\\tisbn = {978-0-08-102672-4},\\n\\turl = {https://www.sciencedirect.com/science/article/pii/B9780081026717103835},\\n\\tabstract = {The era of connected and automated vehicle (CAV) seems to be quickly approaching. The implications of CAV technology is often times speculated to be as disruptive as the consequences of the invention of automobile. CAV is thought to bring changes in every sector of transportation system—starting with the traffic flow characteristics, to the day-to-day travel behavior, distribution of land use, as well as changes in mechanisms for system level control. However, there exists wide range of uncertainties about the factors relating to CAV deployment, operation and adoption. As a result considerable research has been undertaken to understand the implications of different ranges of assumption on travel demand, regional mobility, energy use, and emissions using a variety of transportation models. This paper provides a concise summary of the broad range of assumptions related to CAV deployment, and their implications on regional mobility. The paper also attempts to identify different modeling techniques adopted to study CAV implications. The paper concludes with a narration of the limitations of the existing studies and the scope for future research.},\\n\\tlanguage = {en},\\n\\turldate = {2023-08-01},\\n\\tbooktitle = {International {Encyclopedia} of {Transportation}},\\n\\tpublisher = {Elsevier},\\n\\tauthor = {Enam, Annesha and de Souza, Felipe and Verbas, Omer and Stinson, Monique and Auld, Joshua},\\n\\teditor = {Vickerman, Roger},\\n\\tmonth = jan,\\n\\tyear = {2021},\\n\\tdoi = {10.1016/B978-0-08-102671-7.10383-5},\\n\\tkeywords = {Activity-based modeling, Autonomous vehicles, Land use, Modeling, Simulation, System control, Traffic flow, Travel demand},\\n\\tpages = {557--563},\\n}\\n\\n\",\"author_short\":[\"Enam, A.\",\"de Souza, F.\",\"Verbas, O.\",\"Stinson, M.\",\"Auld, J.\"],\"editor_short\":[\"Vickerman, R.\"],\"key\":\"enam_autonomous_2021\",\"id\":\"enam_autonomous_2021\",\"bibbaseid\":\"enam-desouza-verbas-stinson-auld-autonomousvehiclesandtransportationmodeling-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.sciencedirect.com/science/article/pii/B9780081026717103835\"},\"keyword\":[\"Activity-based modeling\",\"Autonomous vehicles\",\"Land use\",\"Modeling\",\"Simulation\",\"System control\",\"Traffic flow\",\"Travel demand\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Designing a drone delivery network with automated battery swapping machines\",\"volume\":\"129\",\"issn\":\"0305-0548\",\"url\":\"https://www.sciencedirect.com/science/article/pii/S030505482030294X\",\"doi\":\"10.1016/j.cor.2020.105177\",\"abstract\":\"Drones are projected to alter last-mile delivery, but their short travel range is a concern. This study proposes a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.\",\"language\":\"en\",\"urldate\":\"2023-08-01\",\"journal\":\"Computers & Operations Research\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Dong\"],\"firstnames\":[\"Wenquan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jin\"],\"firstnames\":[\"Mingzhou\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"İsmail\",\"Ömer\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2021\",\"keywords\":\"Drone delivery, Mixed-integer nonlinear programming, Network optimization, Queueing theory\",\"pages\":\"105177\",\"bibtex\":\"@article{cokyasar_designing_2021-1,\\n\\ttitle = {Designing a drone delivery network with automated battery swapping machines},\\n\\tvolume = {129},\\n\\tissn = {0305-0548},\\n\\turl = {https://www.sciencedirect.com/science/article/pii/S030505482030294X},\\n\\tdoi = {10.1016/j.cor.2020.105177},\\n\\tabstract = {Drones are projected to alter last-mile delivery, but their short travel range is a concern. This study proposes a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.},\\n\\tlanguage = {en},\\n\\turldate = {2023-08-01},\\n\\tjournal = {Computers \\\\& Operations Research},\\n\\tauthor = {Cokyasar, Taner and Dong, Wenquan and Jin, Mingzhou and Verbas, İsmail Ömer},\\n\\tmonth = may,\\n\\tyear = {2021},\\n\\tkeywords = {Drone delivery, Mixed-integer nonlinear programming, Network optimization, Queueing theory},\\n\\tpages = {105177},\\n}\\n\\n\",\"author_short\":[\"Cokyasar, T.\",\"Dong, W.\",\"Jin, M.\",\"Verbas, İ. Ö.\"],\"key\":\"cokyasar_designing_2021-1\",\"id\":\"cokyasar_designing_2021-1\",\"bibbaseid\":\"cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.sciencedirect.com/science/article/pii/S030505482030294X\"},\"keyword\":[\"Drone delivery\",\"Mixed-integer nonlinear programming\",\"Network optimization\",\"Queueing theory\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"series\":\"The 14th International Conference on Ambient Systems, Networks and Technologies Networks (ANT) and The 6th International Conference on Emerging Data and Industry 4.0 (EDI40)\",\"title\":\"Electric Vehicle Scheduling Problem with Tour Combinations\",\"volume\":\"220\",\"issn\":\"1877-0509\",\"url\":\"https://www.sciencedirect.com/science/article/pii/S1877050923005884\",\"doi\":\"10.1016/j.procs.2023.03.053\",\"abstract\":\"Vehicle scheduling problem (VSP) has been studied since mid-90s, and yet the emerging electrification technology adoption requires a revisit to the problem since recharging event schedules need to be planned. The single depot electric vehicle scheduling problem (SDEVSP) is NP-hard, and large-scale instances cannot be solved to optimality in reasonable time. Hence, a heuristic solution approach was developed to address the problem. In this approach, we generate short tours that can be served by an electric vehicle (EV) and use a mixed-integer non-linear program to combine tour tuples that maximize EV utilization. The model was demonstrated on a hypothetical case study using a depot of the Chicago Transit Authority.\",\"language\":\"en\",\"urldate\":\"2023-08-01\",\"journal\":\"Procedia Computer Science\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cokyasar\"],\"firstnames\":[\"Taner\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verbas\"],\"firstnames\":[\"Omer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Auld\"],\"firstnames\":[\"Joshua\"],\"suffixes\":[]}],\"month\":\"January\",\"year\":\"2023\",\"keywords\":\"EV bus scheduling, Electric vehicle scheduling, bus scheduling, bus tour combination, optimization\",\"pages\":\"413–420\",\"bibtex\":\"@article{cokyasar_electric_2023,\\n\\tseries = {The 14th {International} {Conference} on {Ambient} {Systems}, {Networks} and {Technologies} {Networks} ({ANT}) and {The} 6th {International} {Conference} on {Emerging} {Data} and {Industry} 4.0 ({EDI40})},\\n\\ttitle = {Electric {Vehicle} {Scheduling} {Problem} with {Tour} {Combinations}},\\n\\tvolume = {220},\\n\\tissn = {1877-0509},\\n\\turl = {https://www.sciencedirect.com/science/article/pii/S1877050923005884},\\n\\tdoi = {10.1016/j.procs.2023.03.053},\\n\\tabstract = {Vehicle scheduling problem (VSP) has been studied since mid-90s, and yet the emerging electrification technology adoption requires a revisit to the problem since recharging event schedules need to be planned. The single depot electric vehicle scheduling problem (SDEVSP) is NP-hard, and large-scale instances cannot be solved to optimality in reasonable time. Hence, a heuristic solution approach was developed to address the problem. In this approach, we generate short tours that can be served by an electric vehicle (EV) and use a mixed-integer non-linear program to combine tour tuples that maximize EV utilization. The model was demonstrated on a hypothetical case study using a depot of the Chicago Transit Authority.},\\n\\tlanguage = {en},\\n\\turldate = {2023-08-01},\\n\\tjournal = {Procedia Computer Science},\\n\\tauthor = {Cokyasar, Taner and Verbas, Omer and Auld, Joshua},\\n\\tmonth = jan,\\n\\tyear = {2023},\\n\\tkeywords = {EV bus scheduling, Electric vehicle scheduling, bus scheduling, bus tour combination, optimization},\\n\\tpages = {413--420},\\n}\\n\\n\",\"author_short\":[\"Cokyasar, T.\",\"Verbas, O.\",\"Auld, J.\"],\"key\":\"cokyasar_electric_2023\",\"id\":\"cokyasar_electric_2023\",\"bibbaseid\":\"cokyasar-verbas-auld-electricvehicleschedulingproblemwithtourcombinations-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.sciencedirect.com/science/article/pii/S1877050923005884\"},\"keyword\":[\"EV bus scheduling\",\"Electric vehicle scheduling\",\"bus scheduling\",\"bus tour combination\",\"optimization\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Multi-stage charging and discharging of electric vehicle fleets\",\"volume\":\"118\",\"issn\":\"1361-9209\",\"url\":\"https://www.sciencedirect.com/science/article/pii/S1361920923000883\",\"doi\":\"10.1016/j.trd.2023.103691\",\"abstract\":\"Fleets of electric vehicles will likely shift electricity demand, and the effect of upstream charging emissions will come from generation sources that are dispatched in response. This study proposes a multi-stage charging and discharging problem to translate low-cost energy transactions into vehicle dispatch decisions. A day-ahead charging optimization problem minimizes electricity purchases and marginal emissions damages, with energy transactions becoming targets in an optimization-based dispatch strategy for an on-demand shared autonomous electric vehicle (SAEV) fleet. The framework was tested for Austin, Texas, using an agent-based simulator. Fleets can schedule charging to lower daily power costs (averaging 15.5% or $0.79/day/SAEV) while reducing health damages from generation-related pollution (2.8% or $0.43/day/SAEV). Fleet managers can increase profits ($8 per SAEV per day) by adopting a multi-stage charging and discharging strategy that can serve more passengers per day than price-agnostic dispatch strategies.\",\"language\":\"en\",\"urldate\":\"2023-07-28\",\"journal\":\"Transportation Research Part D: Transport and Environment\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Dean\"],\"firstnames\":[\"Matthew\",\"D.\"],\"suffixes\":[]},{\"propositions\":[\"de\"],\"lastnames\":[\"Souza\"],\"firstnames\":[\"Felipe\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gurumurthy\"],\"firstnames\":[\"Krishna\",\"Murthy\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kockelman\"],\"firstnames\":[\"Kara\",\"M.\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2023\",\"keywords\":\"Bidirectional charging, Emissions, Fleet charging, Fleet management, Shared autonomous electric vehicles, Simulation optimization\",\"pages\":\"103691\",\"bibtex\":\"@article{dean_multi-stage_2023,\\n\\ttitle = {Multi-stage charging and discharging of electric vehicle fleets},\\n\\tvolume = {118},\\n\\tissn = {1361-9209},\\n\\turl = {https://www.sciencedirect.com/science/article/pii/S1361920923000883},\\n\\tdoi = {10.1016/j.trd.2023.103691},\\n\\tabstract = {Fleets of electric vehicles will likely shift electricity demand, and the effect of upstream charging emissions will come from generation sources that are dispatched in response. This study proposes a multi-stage charging and discharging problem to translate low-cost energy transactions into vehicle dispatch decisions. A day-ahead charging optimization problem minimizes electricity purchases and marginal emissions damages, with energy transactions becoming targets in an optimization-based dispatch strategy for an on-demand shared autonomous electric vehicle (SAEV) fleet. The framework was tested for Austin, Texas, using an agent-based simulator. Fleets can schedule charging to lower daily power costs (averaging 15.5\\\\% or \\\\$0.79/day/SAEV) while reducing health damages from generation-related pollution (2.8\\\\% or \\\\$0.43/day/SAEV). Fleet managers can increase profits (\\\\$8 per SAEV per day) by adopting a multi-stage charging and discharging strategy that can serve more passengers per day than price-agnostic dispatch strategies.},\\n\\tlanguage = {en},\\n\\turldate = {2023-07-28},\\n\\tjournal = {Transportation Research Part D: Transport and Environment},\\n\\tauthor = {Dean, Matthew D. and de Souza, Felipe and Gurumurthy, Krishna Murthy and Kockelman, Kara M.},\\n\\tmonth = may,\\n\\tyear = {2023},\\n\\tkeywords = {Bidirectional charging, Emissions, Fleet charging, Fleet management, Shared autonomous electric vehicles, Simulation optimization},\\n\\tpages = {103691},\\n}\\n\\n\",\"author_short\":[\"Dean, M. D.\",\"de Souza, F.\",\"Gurumurthy, K. M.\",\"Kockelman, K. M.\"],\"key\":\"dean_multi-stage_2023\",\"id\":\"dean_multi-stage_2023\",\"bibbaseid\":\"dean-desouza-gurumurthy-kockelman-multistagecharginganddischargingofelectricvehiclefleets-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.sciencedirect.com/science/article/pii/S1361920923000883\"},\"keyword\":[\"Bidirectional charging\",\"Emissions\",\"Fleet charging\",\"Fleet management\",\"Shared autonomous electric vehicles\",\"Simulation optimization\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"San Diego\",\"title\":\"Simulation of sustainable powerplants for a commuter aircraft using forward-looking dynamic models\",\"url\":\"https://anl.box.com/s/mu5vbbvh5jug5ifj8f8lab6oz1nd9kir\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Salucci\"],\"firstnames\":[\"Francesco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Prabhakar\"],\"firstnames\":[\"Nirmit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2023\",\"keywords\":\"Aeronomie, Aircraft Systems\",\"bibtex\":\"@inproceedings{salucci_simulation_2023,\\n\\taddress = {San Diego},\\n\\ttitle = {Simulation of sustainable powerplants for a commuter aircraft using forward-looking dynamic models},\\n\\turl = {https://anl.box.com/s/mu5vbbvh5jug5ifj8f8lab6oz1nd9kir},\\n\\tauthor = {Salucci, Francesco and Prabhakar, Nirmit and Karbowski, Dominik},\\n\\tmonth = jun,\\n\\tyear = {2023},\\n\\tkeywords = {Aeronomie, Aircraft Systems},\\n}\\n\\n\",\"author_short\":[\"Salucci, F.\",\"Prabhakar, N.\",\"Karbowski, D.\"],\"key\":\"salucci_simulation_2023\",\"id\":\"salucci_simulation_2023\",\"bibbaseid\":\"salucci-prabhakar-karbowski-simulationofsustainablepowerplantsforacommuteraircraftusingforwardlookingdynamicmodels-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/mu5vbbvh5jug5ifj8f8lab6oz1nd9kir\"},\"keyword\":[\"Aeronomie\",\"Aircraft Systems\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Urban Air Mobility: A preliminary case study for Chicago and Atlanta\",\"shorttitle\":\"Urban Air Mobility\",\"url\":\"https://anl.box.com/s/qo9o8h96uixu6p6f4g3ztxf7bm81uvwt\",\"doi\":\"10.1109/ITEC53557.2022.9814052\",\"abstract\":\"These This paper reviews two promising Urban Air Mobility electric VTOL designs and develops static performance models for them. Using America Commuter Survey LODES [1] data, a demand model for such a mobility service is also derived. Further, the performance model is then used to compare UAM service to driving to indicate demand and energy expenditure of this new emerging form of mobility.\",\"booktitle\":\"2022 IEEE Transportation Electrification Conference & Expo (ITEC)\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Jha\"],\"firstnames\":[\"Ayush\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Prabhakar\"],\"firstnames\":[\"Nirmit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"German\"],\"firstnames\":[\"Brian\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2022\",\"note\":\"ISSN: 2377-5483\",\"keywords\":\"Aeronomie, Aircraft Systems\",\"pages\":\"300–306\",\"bibtex\":\"@inproceedings{jha_urban_2022,\\n\\ttitle = {Urban {Air} {Mobility}: {A} preliminary case study for {Chicago} and {Atlanta}},\\n\\tshorttitle = {Urban {Air} {Mobility}},\\n\\turl = {https://anl.box.com/s/qo9o8h96uixu6p6f4g3ztxf7bm81uvwt},\\n\\tdoi = {10.1109/ITEC53557.2022.9814052},\\n\\tabstract = {These This paper reviews two promising Urban Air Mobility electric VTOL designs and develops static performance models for them. Using America Commuter Survey LODES [1] data, a demand model for such a mobility service is also derived. Further, the performance model is then used to compare UAM service to driving to indicate demand and energy expenditure of this new emerging form of mobility.},\\n\\tbooktitle = {2022 {IEEE} {Transportation} {Electrification} {Conference} \\\\& {Expo} ({ITEC})},\\n\\tauthor = {Jha, Ayush and Prabhakar, Nirmit and Karbowski, Dominik and German, Brian},\\n\\tmonth = jun,\\n\\tyear = {2022},\\n\\tnote = {ISSN: 2377-5483},\\n\\tkeywords = {Aeronomie, Aircraft Systems},\\n\\tpages = {300--306},\\n}\\n\\n\",\"author_short\":[\"Jha, A.\",\"Prabhakar, N.\",\"Karbowski, D.\",\"German, B.\"],\"key\":\"jha_urban_2022\",\"id\":\"jha_urban_2022\",\"bibbaseid\":\"jha-prabhakar-karbowski-german-urbanairmobilityapreliminarycasestudyforchicagoandatlanta-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/qo9o8h96uixu6p6f4g3ztxf7bm81uvwt\"},\"keyword\":[\"Aeronomie\",\"Aircraft Systems\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"San Diego\",\"title\":\"A Rotorcraft Validation Framework using an EKF-based Parameter Estimation Approach\",\"url\":\"https://anl.box.com/s/a31nuag03yp0wdd7fwywpvqw3zfmkpsu\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Jesse\"],\"firstnames\":[\"Marvin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Prabhakar\"],\"firstnames\":[\"Nirmit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Salucci\"],\"firstnames\":[\"Francesco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2023\",\"keywords\":\"Aeronomie, Aircraft Systems\",\"bibtex\":\"@inproceedings{jesse_rotorcraft_2023,\\n\\taddress = {San Diego},\\n\\ttitle = {A {Rotorcraft} {Validation} {Framework} using an {EKF}-based {Parameter} {Estimation} {Approach}},\\n\\turl = {https://anl.box.com/s/a31nuag03yp0wdd7fwywpvqw3zfmkpsu},\\n\\tauthor = {Jesse, Marvin and Prabhakar, Nirmit and Salucci, Francesco and Karbowski, Dominik},\\n\\tmonth = jun,\\n\\tyear = {2023},\\n\\tkeywords = {Aeronomie, Aircraft Systems},\\n}\\n\\n\",\"author_short\":[\"Jesse, M.\",\"Prabhakar, N.\",\"Salucci, F.\",\"Karbowski, D.\"],\"key\":\"jesse_rotorcraft_2023\",\"id\":\"jesse_rotorcraft_2023\",\"bibbaseid\":\"jesse-prabhakar-salucci-karbowski-arotorcraftvalidationframeworkusinganekfbasedparameterestimationapproach-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/a31nuag03yp0wdd7fwywpvqw3zfmkpsu\"},\"keyword\":[\"Aeronomie\",\"Aircraft Systems\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Application of Dynamic Simulation Tool Aeronomie to Quadcopter Control Selection\",\"url\":\"https://anl.box.com/s/8o18bov3swmpqr7un2y633oxzmdbn04f\",\"doi\":\"10.2514/6.2022-1518\",\"abstract\":\"View Video Presentation: https://doi.org/10.2514/6.2022-1518.vid - Aeronomie is a new dynamic simulation tool developed by Argonne National Laboratory to design electric aircraft and evaluate their performance. Aeronomie enables simulations for any aircraft configuration through waypoint-based missions by generating a full-vehicle Simulink model from generic or user-created subsystem models. After running a mission, the software interface lists energy consumption and efficiency for each modeled component of the powerplant and logs all signals from the simulation for custom post-processing. In this paper, we use this capability to compare the energy consumption and general performance of a quadcopter using a proportional-integral-derivative (PID) controller and a linear quadratic regulator (LQR) as the vehicle completes two different missions: a 16-kilometer delivery mission and a figure-eight circuit mission. Compared to the PID-controlled quadcopter, the LQR-controlled quadcopter required 0.75% more energy and finished 2.4% quicker in the delivery mission, while it required 0.22% less energy and finished 1.0% quicker in the figure-eight mission. This report shows a direct application of Aeronomie and how it allows researchers to conduct in-depth studies on electric and hybrid-electric aircraft.\",\"urldate\":\"2023-03-13\",\"booktitle\":\"AIAA SCITECH 2022 Forum\",\"publisher\":\"American Institute of Aeronautics and Astronautics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Heyerdahl\"],\"firstnames\":[\"Luke\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Prabhakar\"],\"firstnames\":[\"Nirmit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sharer\"],\"firstnames\":[\"Phillip\"],\"suffixes\":[]}],\"month\":\"January\",\"year\":\"2022\",\"note\":\"_eprint: https://arc.aiaa.org/doi/pdf/10.2514/6.2022-1518\",\"keywords\":\"Aeronomie, Aircraft Systems\",\"bibtex\":\"@inproceedings{heyerdahl_application_2022,\\n\\ttitle = {Application of {Dynamic} {Simulation} {Tool} {Aeronomie} to {Quadcopter} {Control} {Selection}},\\n\\turl = {https://anl.box.com/s/8o18bov3swmpqr7un2y633oxzmdbn04f},\\n\\tdoi = {10.2514/6.2022-1518},\\n\\tabstract = {View Video Presentation: https://doi.org/10.2514/6.2022-1518.vid  -  Aeronomie is a new dynamic simulation tool developed by Argonne National Laboratory to design electric aircraft and evaluate their performance. Aeronomie enables simulations for any aircraft configuration through waypoint-based missions by generating a full-vehicle Simulink model from generic or user-created subsystem models. After running a mission, the software interface lists energy consumption and efficiency for each modeled component of the powerplant and logs all signals from the simulation for custom post-processing. In this paper, we use this capability to compare the energy consumption and general performance of a quadcopter using a proportional-integral-derivative (PID) controller and a linear quadratic regulator (LQR) as the vehicle completes two different missions: a 16-kilometer delivery mission and a figure-eight circuit mission. Compared to the PID-controlled quadcopter, the LQR-controlled quadcopter required 0.75\\\\% more energy and finished 2.4\\\\% quicker in the delivery mission, while it required 0.22\\\\% less energy and finished 1.0\\\\% quicker in the figure-eight mission. This report shows a direct application of Aeronomie and how it allows researchers to conduct in-depth studies on electric and hybrid-electric aircraft.},\\n\\turldate = {2023-03-13},\\n\\tbooktitle = {{AIAA} {SCITECH} 2022 {Forum}},\\n\\tpublisher = {American Institute of Aeronautics and Astronautics},\\n\\tauthor = {Heyerdahl, Luke and Prabhakar, Nirmit and Karbowski, Dominik and Sharer, Phillip},\\n\\tmonth = jan,\\n\\tyear = {2022},\\n\\tnote = {\\\\_eprint: https://arc.aiaa.org/doi/pdf/10.2514/6.2022-1518},\\n\\tkeywords = {Aeronomie, Aircraft Systems},\\n}\\n\\n\",\"author_short\":[\"Heyerdahl, L.\",\"Prabhakar, N.\",\"Karbowski, D.\",\"Sharer, P.\"],\"key\":\"heyerdahl_application_2022\",\"id\":\"heyerdahl_application_2022\",\"bibbaseid\":\"heyerdahl-prabhakar-karbowski-sharer-applicationofdynamicsimulationtoolaeronomietoquadcoptercontrolselection-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/8o18bov3swmpqr7un2y633oxzmdbn04f\"},\"keyword\":[\"Aeronomie\",\"Aircraft Systems\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Energy Impacts of Electric Aircraft: An Overview\",\"shorttitle\":\"Energy Impacts of Electric Aircraft\",\"url\":\"https://anl.box.com/s/fs1r5a37g1ghom8cazzk4l7jiqt9rstr\",\"doi\":\"10.2514/6.2022-4119\",\"abstract\":\"View Video Presentation: https://doi.org/10.2514/6.2022-4119.vidCommercial aviation represents approximately 2% of the global emissions of greenhouse gases, yet presently relies exclusively on fossil fuels as a source of energy. This paper evaluates to what extent an all-electric aircraft can provide an alternative. First, three classes of aircraft are modeled at various timelines in the future: 50/100/150 passenger capacity in 2030/2040/2050. Technology is assumed to improve over time, especially with regards to battery specific energy, resulting in aircraft with increased range. A database of all domestic flights in the US in 2019 is then used to filter and aggregate flights suited for replacement by electric aircraft. In the short term (2030), no viable aircraft can meet the requirements of each class. By 2040, a third of the flights can be done by an all-electric aircraft, but only short ones, as the range does not exceed 500 mi, resulting in 3% of total passenger-miles. By 2050, owing to the most optimistic technology assumptions, a quarter of all passenger-miles can be flown by electric airplanes. The resulting displaced jet fuel is also calculated.\",\"urldate\":\"2023-03-13\",\"booktitle\":\"AIAA AVIATION 2022 Forum\",\"publisher\":\"American Institute of Aeronautics and Astronautics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Prabhakar\"],\"firstnames\":[\"Nirmit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Heyerdahl\"],\"firstnames\":[\"Luke\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jha\"],\"firstnames\":[\"Ayush\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Karbowski\"],\"firstnames\":[\"Dominik\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2022\",\"note\":\"_eprint: https://arc.aiaa.org/doi/pdf/10.2514/6.2022-4119\",\"keywords\":\"Aircraft Systems\",\"bibtex\":\"@inproceedings{prabhakar_energy_2022,\\n\\ttitle = {Energy {Impacts} of {Electric} {Aircraft}: {An} {Overview}},\\n\\tshorttitle = {Energy {Impacts} of {Electric} {Aircraft}},\\n\\turl = {https://anl.box.com/s/fs1r5a37g1ghom8cazzk4l7jiqt9rstr},\\n\\tdoi = {10.2514/6.2022-4119},\\n\\tabstract = {View Video Presentation: https://doi.org/10.2514/6.2022-4119.vidCommercial aviation represents approximately 2\\\\% of the global emissions of greenhouse gases, yet presently relies exclusively on fossil fuels as a source of energy. This paper evaluates to what extent an all-electric aircraft can provide an alternative. First, three classes of aircraft are modeled at various timelines in the future: 50/100/150 passenger capacity in 2030/2040/2050. Technology is assumed to improve over time, especially with regards to battery specific energy, resulting in aircraft with increased range. A database of all domestic flights in the US in 2019 is then used to filter and aggregate flights suited for replacement by electric aircraft. In the short term (2030), no viable aircraft can meet the requirements of each class. By 2040, a third of the flights can be done by an all-electric aircraft, but only short ones, as the range does not exceed 500 mi, resulting in 3\\\\% of total passenger-miles. By 2050, owing to the most optimistic technology assumptions, a quarter of all passenger-miles can be flown by electric airplanes. The resulting displaced jet fuel is also calculated.},\\n\\turldate = {2023-03-13},\\n\\tbooktitle = {{AIAA} {AVIATION} 2022 {Forum}},\\n\\tpublisher = {American Institute of Aeronautics and Astronautics},\\n\\tauthor = {Prabhakar, Nirmit and Heyerdahl, Luke and Jha, Ayush and Karbowski, Dominik},\\n\\tmonth = jun,\\n\\tyear = {2022},\\n\\tnote = {\\\\_eprint: https://arc.aiaa.org/doi/pdf/10.2514/6.2022-4119},\\n\\tkeywords = {Aircraft Systems},\\n}\\n\",\"author_short\":[\"Prabhakar, N.\",\"Heyerdahl, L.\",\"Jha, A.\",\"Karbowski, D.\"],\"key\":\"prabhakar_energy_2022\",\"id\":\"prabhakar_energy_2022\",\"bibbaseid\":\"prabhakar-heyerdahl-jha-karbowski-energyimpactsofelectricaircraftanoverview-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://anl.box.com/s/fs1r5a37g1ghom8cazzk4l7jiqt9rstr\"},\"keyword\":[\"Aircraft Systems\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"}],\n      metadata: {\"authorlinks\":{}},\n      ownerID: undefined\n    };\n  </script>\n\n  <script type=\"text/javascript\">\n  var site$;\n  if (typeof $ != 'undefined') {\n    console.log('existing jquery: storing and then restoring');\n    site$ = $;\n    $ = null;\n  }\n  </script>\n\n  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.2.4/jquery.min.js\">\n  </script>\n  <script type=\"text/javascript\">\n  if (site$) {\n    console.log('existing jquery: avoiding conflict and restoring');\n    bb$ = $.noConflict(true);\n    $ = site$;\n  } else {\n    bb$ = $;\n  }\n  </script>\n\n  <script src=\"//bibbase.org/js/bibbase.min.js\"\n          type=\"text/javascript\">\n  </script>\n\n  <script type=\"text/javascript\"\n          src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML\">\n  </script>\n  <script type=\"text/x-mathjax-config\">\n    MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\\\(','\\\\)']]},\n                        skipTags: [\"body\"],\n                        processClass: \"bibbase_paper\"});\n  </script>\n\n  <style>\n  @media print {\n    .dontprint {\n        display: none !important;\n    }\n\n  .bibbase_group {\n    background-color: #E0E0E0;\n    font-style: italic;\n    font-size: larger;\n    text-shadow: 0px 0px 3px #FFFFFF;\n    border-radius: 4px 4px 4px 4px;\n    -moz-border-radius: 4px 4px 4px 4px;\n    -webkit-border-radius: 4px;\n    padding: 5px 40px 5px;\n    margin-top: 10px;\n    margin-bottom: 5px;\n    cursor: pointer;\n  }\n\n  .bibbase_paper {\n    margin-bottom: 5px;\n  }\n\n  }\n  </style>\n\n  \n  <div style=\"float: right; margin-right: 10px; margin-top: 10px; text-align: right; font-size: 12px\">\n    generated by\n    <a href=\"//bibbase.org\"\n       onclick=\"trackOutboundLink('bibbase', 'logo clicked', window.location.href, '//bibbase.org'); return false;\">\n      <img src=\"//bibbase.org/img/logo.svg\"\n           style=\"vertical-align: middle; margin-left: 3px; height: 16px;\"/\n           alt=\"bibbase.org\"\n           title=\"BibBase – The easiest way to maintain your publications page.\"\n        ></a>\n    \n  </div>\n  \n\n  <div id=\"bibbase_header\" class=\"dontprint\" style=\"\">\n\n    <ul class=\"nav nav-pills\" style=\"margin: 0px;\">\n\n      <li class=\"dropdown\" id=\"groupby_dropdown\">\n      <a class=\"dropdown-toggle\"\n         data-toggle=\"dropdown\"\n         href=\"#\">\n          Group by\n          <b class=\"caret\"></b>\n      </a>\n      <ul class=\"dropdown-menu\">\n        <li class=\"groupby year\"><a onclick=\"groupby('year')\">\n            Year</a>\n        </li>\n        <li class=\"groupby author\"><a onclick=\"groupby('author_short')\">\n            Author</a>\n        </li>\n        <li class=\"groupby type\"><a onclick=\"groupby('type')\">\n            Type</a>\n        </li>\n        <li class=\"groupby keyword\"><a onclick=\"groupby('keyword')\">\n            Keyword</a>\n        </li>\n        <li class=\"groupby downloads\"><a onclick=\"groupby('downloads')\">\n            Downloads</a>\n        </li>\n      </ul>\n      </li>\n\n\n      <li class=\"dropdown\" id=\"menu_dropdown\">\n      <a class=\"dropdown-toggle\"\n         data-toggle=\"dropdown\"\n         href=\"#\" alt=\"controls\">\n          <i class=\"fa fa-reorder\" alt=\"controls\"></i>\n          <b class=\"caret\"></b>\n      </a>\n      <ul class=\"dropdown-menu\">\n        <li>\n          <a onclick=\"toggleAll()\">\n            <i class=\"fa fa-chevron-down fa-fw\"></i> Expand/Collapse All\n          </a>\n        </li>\n        <li>\n          <a download=\"items\" href=\"data:text/bibtex;base64,@inproceedings{jeong_energy_2024,
	address = {Detroit, MI, USA},
	title = {Energy {Savings} {Impact} of {Eco}-{Driving} {Control} {Based} on {Powertrain} {Characteristics} in {Connected} and {Automated} {Vehicles} {On}-{Track} {Demonstrations}},
	shorttitle = {Energy {Savings} {Impact} of {Eco}-{Driving} {Control} {Based} on {Powertrain} {Characteristics} in {Connected} and {Automated} {Vehicles}},
	url = {https://anl.box.com/s/cshs9q2hzlo56i6c0g81gohf6mkk7qm8},
	doi = {10.4271/2024-01-2606},
	abstract = {This research investigates the energy savings achieved through eco-driving controls in connected and automated vehicles (CAVs), with a specific focus on the influence of powertrain characteristics. Eco-driving strategies have emerged as a promising approach to enhance efficiency and reduce environmental impact in CAVs. However, uncertainty remains about how the optimal strategy developed for a specific CAV applies to CAVs with different powertrain technologies, particularly concerning energy aspects. To address this gap, on-track demonstrations were conducted using a Chrysler Pacifica CAV equipped with an internal combustion engine (ICE), advanced sensors, and vehicle-to-infrastructure (V2I) communication systems, compared with another CAV, a previously studied Chevrolet Bolt electric vehicle (EV) equipped with an electric motor and battery. The implemented control is a universal speed planner that solves the eco-driving optimal-control problem within a receding-horizon framework, utilizing V2I communications for signal phase and timing information. The controller calculates accelerator and brake pedal positions using the vehicle’s state and real-time environmental information. Both the Pacifica, target vehicle, and the Bolt, EV, are equipped with a drive-by-wire system. The experiments encompass five road scenarios repeated three times, covering a 3.7-km track with various stop signs, traffic signals, and speed limits. Three control calibrations are employed to represent human-driver-like, non-connected automated, and V2I-connected driving. First and foremost, the results demonstrate functional eco-driving controls with no extreme acceleration or traffic law violations in the Pacifica (ICE vehicle). Energy savings of up to 6\% without connectivity and up to 22\% with V2I connectivity are achieved in the ICE vehicle as well. Additionally, a comparison is made between an ICE vehicle and an EV to analyze the energy-saving impacts of eco-driving controls across different powertrain characteristics. In conclusion, this study emphasizes the significance of correlating powertrain design with controls and eco-driving strategies during the development of CAVs.},
	language = {English},
	urldate = {2024-04-23},
	booktitle = {{SAE} {Technical} {Paper}},
	author = {Jeong, Jongryeol and Kandaswamy, Elangovan and Dudekula, Ahammad Basha and Han, Jihun and Karbowski, Dominik and Naber, Jeffrey},
	month = apr,
	year = {2024},
	doi = {10.4271/2024-01-2606},
	note = {ISSN: 0148-7191, 2688-3627},
	keywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control, XIL Testing},
}



@inproceedings{liang_testing_2024,
	title = {Testing {Cellular} {Vehicle}-to-{Everything} {Communication} {Performance} and {Feasibility} in {Automated} {Vehicles}},
	url = {https://anl.box.com/s/z3an9l7kcc2apymn2w1avols9rhzq3xz},
	booktitle = {Accepted for presentation at the 35th {IEEE} {Intelligent} {Vehicles} {Symposium}},
	author = {Liang, Zhaohui and Han, Jihun and Li, Xiaopeng and Karbowski, Dominik and Ma, Chengyuan and Rousseau, Aymeric},
	month = jun,
	year = {2024},
}



@inproceedings{han_human_2024,
	title = {Human {Driver} {Interaction} with {Eco}-{Speed} {Advisory} {System} in {Connected} {Vehicles}: {Simulation} and {Experimental} {Results}},
	booktitle = {Presented at the 103rd {Transportation} {Research} {Board} ({TRB}) {Annual} {Meeting}},
	author = {Han, Jihun and Ard, Tyler and Wang, Rongyao and Gupta, Prakhar and Vahidi, Ardalan and Jia, Yunyi and Karbowski, Dominik},
	month = jan,
	year = {2024},
	keywords = {DOE SMART, Ecodriving, RoadRunner},
}



@inproceedings{kim_impact_2024,
	title = {Impact of {Advanced} {Technologies} on {Energy} {Consumption} of {Advanced} {Electrified} {Medium}-duty {Vehicles}},
	url = {https://anl.box.com/s/dr1ye4jzxeppi3rin2mt6wcqsp8d4rwh},
	doi = {10.4271/2023-01-0196},
	abstract = {The National Highway Traffic Safety Administration (NHTSA) has been leading the responsibilities related to the rulemaking process of Corporate Average Fuel Economy (CAFE) standards. Argonne National Laboratory (ANL), a U.S. Department of Energy (DOE) national laboratory, has developed a full-vehicle simulation tool named Autonomie. Autonomie has become one of the industry standard tools for analyzing vehicle performance, energy consumption and technology effectiveness. Through Inter Agency Agreement (IAA), the DOE Argonne Site Office (ASO), Argonne National Laboratory (ANL), have been tasked in conducting full vehicle simulation to support NHTSA CAFE rulemaking. For CAFE analysis, more than 10 thousand vehicle combinations are simulated across different heavy-duty pickup and vans (HDPUV) classes. This wide range of vehicle combinations consists of different vehicle powertrains combined with various component performances. The purpose of this paper was to study the performance and energy consumption of electrified powertrains simulated for the Notice of Proposed Rulemaking (NPRM) runs that has been published in 2023.},
	language = {English},
	booktitle = {{SAE} {Technical} {Paper} 2024-01-2453},
	publisher = {SAE International},
	author = {Kim, Namdoo and Islam, Ehsan and Vijayagopal, Ram},
	month = apr,
	year = {2024},
	keywords = {Autonomie, DOE Anlysis, MD vehicle},
}



@inproceedings{park_component_2024,
	title = {Component {Sizing} {Optimization} {Based} on {Technological} {Assumptions} for {Medium}-duty {Electric} {Vehicles}},
	url = {https://anl.box.com/s/po64nu82w3dxaj3fgo3aq0ctjg4wpmu6},
	doi = {10.4271/2023-01-0196},
	abstract = {In response to the stipulations of the Energy Policy and Conservation Act and the global momentum toward carbon mitigation, there has been a pronounced tightening of fuel economy standards for manufacturers. This stricter regulation is coupled with an accelerated transition to electric vehicles, catalyzed by advances in electrification technology and a decline in battery cost. Improvements in the fuel economy of medium- and heavy-duty vehicles through electrification are particularly noteworthy. Estimating the magnitude of fuel economy improvements that result from technological advances in these vehicles is key to effective policymaking. In this research, we generated vehicle models based on assumptions regarding advanced transportation component technologies and powertrains to estimate potential vehicle-level fuel savings. We also developed a systematic approach to evaluating a vehicle’s fuel economy by calibrating the size of the components to satisfy performance requirements. We used Autonomie, a high-fidelity vehicle modeling and simulation tool developed by Argonne National Laboratory, integrating Pattern Search solvers to optimize component sizing based on our assumptions. Pattern Search, a direct-method numerical optimization algorithm, is widely used in a variety of applications. The method requires extensive evaluation and iteration but provides good optimization performance for the computational cost. This paper presents the potential energy savings for a medium-duty electric vehicle determined using both rule-based and optimized component sizing.},
	language = {English},
	booktitle = {{SAE} {Technical} {Paper} 2024-01-2450},
	publisher = {SAE International},
	author = {Park, Dohyun and Jung, Jaekwang and Kim, Namwook and Islam, Ehsan and Kim, Namdoo and Vijayagopal, Ram},
	month = apr,
	year = {2024},
	keywords = {Autonomie, DOE Anlysis, MD vehicle},
}



@article{lajunen_simulation-based_2024,
	title = {Simulation-{Based} {Assessment} of {Energy} {Consumption} of {Alternative} {Powertrains} in {Agricultural} {Tractors}},
	url = {https://anl.box.com/s/2mxxia0o4zz42314m9zt0hj6mn80ixdn},
	doi = {https://doi.org/10.3390/wevj15030086},
	abstract = {The objectives of this research were to develop simulation models for agricultural tractors with different powertrain technologies and evaluate the energy consumption in typical agricultural operations. Simulation models were developed for conventional, parallel hybrid electric, series hybrid electric, fuel cell hybrid, and battery electric powertrains. Autonomie vehicle simulation software (version 2022) was used for the simulations and the tractor models were simulated in two tilling cycles and in a road transport cycle with a trailer. The alternative powertrains were configured to have at least the same tractive performance as the conventional, diesel engine-powered tractor model. The simulation results showed that the potential of the parallel and series hybrid powertrains to improve energy efficiency depends heavily on the tractor size and the operating cycle conditions. The fuel cell hybrid and battery electric powertrains have a higher potential to reduce energy consumption and emissions but still have inherent technical challenges for practical operation. The battery-powered electric tractor would require improvements in the storage energy density to have a comparable operational performance in comparison to other powertrains. The fuel cell hybrid tractor already provided an adequate operating performance but the availability of hydrogen and refueling infrastructure could be challenging to resolve in the farming context.},
	journal = {World Electric Vehicle Journal},
	author = {Lajunen, Antti and Kivekas, Klaus and Freyermuth, Vincent and Vijayagopal, Ram and Kim, Namdoo},
	year = {2024},
	keywords = {Autonomie, Vehicle control, Vehicle systems},
}



@incollection{salucci_modeling_2024,
	series = {{AIAA} {SciTech} {Forum}},
	title = {Modeling of hybrid-electric powertrains for small commuter aircraft to assess performance and emissions},
	url = {https://anl.box.com/s/o1sng8k450is6dp03g4n4n171qws2l6z},
	urldate = {2024-02-23},
	booktitle = {{AIAA} {SCITECH} 2024 {Forum}},
	publisher = {American Institute of Aeronautics and Astronautics},
	author = {Salucci, Francesco and Prabhakar, Nirmit and Karbowski, Dominik A.},
	month = jan,
	year = {2024},
	doi = {10.2514/6.2024-0280},
}



@inproceedings{prabhakar_estimating_2023,
	address = {San Diego},
	title = {Estimating {Mission}-{Based} {Energy} and {System} {Dynamics} of e-{VTOL} {Aircraft}},
	url = {https://anl.app.box.com/s/f0yoegseuxt0yxmgxoy1w3mtdxbozogn},
	publisher = {AIAA},
	author = {Prabhakar, Nirmit and Salucci, Francesco and Karbowski, Dominik},
	month = jun,
	year = {2023},
	keywords = {Aeronomie, Aircraft Systems},
}



@misc{noauthor_equiticity_2024,
	title = {Equiticity},
	url = {https://www.equiticity.org},
	abstract = {Equiticity is a 501(c)(3) non-profit organization programming and advocating for racial equity and increased mobility in Chicago and beyond.},
	language = {en-US},
	urldate = {2024-02-23},
	journal = {Equiticity},
	year = {2024},
}



@inproceedings{hyeon_potential_2023,
	address = {San Diego, CA, USA},
	title = {Potential {Energy} {Saving} by {Different} {Cooperative} {Driving} {Automation} {Classes} in {Car}-{Following} {Scenarios} $^{\textrm{*}}$},
	isbn = {9798350328066},
	url = {https://anl.box.com/s/og67f5zlawlbg7q4at6zgk12h4xmucom},
	doi = {10.23919/ACC55779.2023.10156430},
	urldate = {2023-11-01},
	booktitle = {2023 {American} {Control} {Conference} ({ACC})},
	publisher = {IEEE},
	author = {Hyeon, Eunjeong and Karbowski, Dominik and Rousseau, Aymeric},
	month = may,
	year = {2023},
	pages = {1313--1318},
}



@inproceedings{hyeon_decision-making_2023,
	address = {Anchorage, AK, USA},
	title = {Decision-{Making} {Strategy} {Using} {Multi}-{Agent} {Reinforcement} {Learning} for {Platoon} {Formation} in {Agreement}-{Seeking} {Cooperation}},
	isbn = {9798350346916},
	url = {https://anl.box.com/s/39xmwpvw2qe4x8q80n7rt3b32dyv78c6},
	doi = {10.1109/IV55152.2023.10186813},
	urldate = {2023-11-01},
	booktitle = {2023 {IEEE} {Intelligent} {Vehicles} {Symposium} ({IV})},
	publisher = {IEEE},
	author = {Hyeon, Eunjeong and Karbowski, Dominik and Rousseau, Aymeric},
	month = jun,
	year = {2023},
	pages = {1--6},
}



@article{cokyasar_time-constrained_2023,
	title = {Time-{Constrained} {Capacitated} {Vehicle} {Routing} {Problem} in {Urban} {E}-{Commerce} {Delivery}},
	volume = {2677},
	issn = {0361-1981},
	url = {https://doi.org/10.1177/03611981221124592},
	doi = {10.1177/03611981221124592},
	abstract = {Electric vehicle routing problems can be particularly complex when recharging must be performed mid-route. In some applications, such as e-commerce parcel delivery truck routing, however, mid-route recharging may not be necessary because of constraints on vehicle capacities and the maximum allowed time for delivery. In this study, we develop a mixed-integer optimization model that exactly solves such a time-constrained capacitated vehicle routing problem, especially of interest for e-commerce parcel delivery vehicles. We compare our solution method with an existing metaheuristic and carry out exhaustive case studies considering four U.S. cities—Austin, TX; Bloomington, IL; Chicago, IL; and Detroit, MI—and two vehicle types: conventional vehicles and battery electric vehicles (BEVs). In these studies we examine the impact of vehicle capacity, maximum allowed travel time, service time (dwelling time to physically deliver the parcel), and BEV range on system-level performance metrics, including vehicle miles traveled (VMT). We find that the service time followed by the vehicle capacity plays a key role in the performance of our approach. We assume an 80-mi BEV range as a baseline without mid-route recharging. Our results show that the BEV range has a minimal impact on performance metrics because the VMT per vehicle averages around 72 mi. In a case study for shared-economy parcel deliveries, we observe that VMT could be reduced by 38.8\% in Austin if service providers were to operate their distribution centers jointly.},
	language = {en},
	number = {2},
	urldate = {2024-02-01},
	journal = {Transportation Research Record},
	author = {Cokyasar, Taner and Subramanyam, Anirudh and Larson, Jeffrey and Stinson, Monique and Sahin, Olcay},
	month = feb,
	year = {2023},
	note = {Publisher: SAGE Publications Inc},
	pages = {190--203},
}



@misc{department_of_energy_justice40_nodate,
	title = {Justice40 {Initiative}},
	url = {https://www.energy.gov/justice/justice40-initiative},
	abstract = {On January 27, 2021, President Biden issued Executive Order 14008, Tackling the Climate Crisis at Home and Abroad. Section 223 of that EO establishes the Justice40 Initiative, which directs 40\% of the overall benefits of certain...},
	language = {en},
	urldate = {2024-02-01},
	journal = {Energy.gov},
	author = {Department of Energy},
}



@misc{us_census_bureau_e-commerce_2023,
	title = {E-{Commerce} {Retail} {Sales} as a {Percent} of {Total} {Sales}},
	shorttitle = {{ECOMPCTSA}},
	url = {https://fred.stlouisfed.org/series/ECOMPCTSA},
	abstract = {E-commerce sales are sales of goods and services where  the buyer places an order, or the price and terms  of the sale  are negotiated over an Internet, mobile device  (M-commerce),  extranet,  Electronic  Data  Interchange  (EDI)  network,  electronic  mail,  or  other  comparable  online  system.  Payment  may  or  may  not  be  made online.},
	urldate = {2024-01-31},
	journal = {FRED, Federal Reserve Bank of St. Louis},
	author = {{U.S. Census Bureau}},
	month = oct,
	year = {2023},
	note = {Publisher: FRED, Federal Reserve Bank of St. Louis},
}



@inproceedings{leclercq_lagrangian_2007,
	title = {The {Lagrangian} {Coordinates} and {What} it {Means} for {First} {Order} {Traffic} {Flow} {Models}},
	isbn = {978-0-08-045375-0},
	url = {https://trid.trb.org/View/820161},
	urldate = {2024-01-31},
	author = {Leclercq, Ludovic and Laval, Jorge Andres and Chevallier, Estelle},
	year = {2007},
}



@article{yperman_link_2007,
	title = {The {Link} {Transmission} {Model} for dynamic network loading},
	url = {https://lirias.kuleuven.be/1749225},
	abstract = {Dynamische verkeerstoedelingsmodellen worden gebruikt om de impact van infrastructuuraanpassingen in verkeersnetwerken te voorspellen en om de effecten van informatieverstrekking en verkeesbeheersingsmaatregelen in te schatten. Een verkeerssimulatiemodel is een basiscomponent van het dynamisch toedelingsmodel. In dit eindwerk wordt een verkeerssimulatiemodel ontwikkeld. Het Link Transmissie Model simuleert verkeersstromen in grote feitelijke netwerken die zowel snelwegen als stedelijke regio’s omvatten. Het gemodelleerde file-opbouw en file-afbouw proces sluit nauwer aan bij de realiteit dan in state-of-the-art macroscopische verkeerstoedelingsmodellen. Op kruispunten worden lokale capaciteitsbeperkingen en knoopvertragingen gedetailleerd in rekening gebracht. Het Link Transmissie Model stoelt op een rekenefficiënt algoritme waardoor verkeersstromen in grote netwerken gesimuleerd kunnen worden in een beperkte rekentijd},
	language = {dut},
	urldate = {2024-01-31},
	author = {Yperman, Isaak},
	month = jun,
	year = {2007},
}



@inproceedings{hyeon_potential_2022,
	address = {Columbus, OH, USA},
	title = {Potential {Energy} {Saving} of {V2V}-{Connected} {Vehicles} in {Large}-{Scale} {Traffic}},
	url = {https://anl.box.com/s/ax45bc5dz01h9gxtu84ewkhe03y7mc8i},
	doi = {https://doi.org/10.1016/j.ifacol.2022.10.265},
	abstract = {In realistic car-following eco-driving scenarios, preceding vehicles’ presence and behavior can significantly impact vehicle energy efficiency. Increasing vehicle-to-vehicle (V2V) connectivity, more accurate prediction of the preceding vehicle’s future trajectory becomes possible, bringing further energy savings. However, prediction accuracy and the corresponding energy savings depend on the specific scenario. This paper identifies factors impacting prediction accuracy and investigates how these impacts lead to energy savings for the eco-driving control system that we focus on. First, we integrate a trajectory predictor using V2V information with an eco-driving controller. Then, we design a systematic parameter study that generates extensive downstream traffic environments with various V2V connectivity ranges, and we conduct initial investigations into the relationship between the influential factors and eco-driving behaviors. Finally, we validate our findings from the parameter study by evaluating a V2V-enabled ecodriving control system using a multi-vehicle simulation tool with high-fidelity powertrain models. Results show that a longer-term prediction horizon, equivalent to a look-ahead horizon for eco-driving control, saves more energy. Furthermore, increasing the prediction accuracy with sufficient V2V information from more V2V-connected vehicles enables near-optimal energy savings for various car-following behaviors in downstream traffic.},
	booktitle = {10th {IFAC} {International} {Symposium} on {Advances} in {Automotive} {Control} (in review)},
	author = {Hyeon, Eunjeong and Han, Jihun and Shen, Daliang and Karbowski, Dominik and Kim, Namwook and Rousseau, Aymeric},
	month = aug,
	year = {2022},
	note = {ANL},
	keywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},
}



@techreport{auld_smart_2023,
	title = {{SMART} {Mobility} 2.0 : {POLARIS}-{Specific} {Scenario} {Results} for {Three} {Regions}},
	institution = {Argonne National Laboratory (ANL)},
	author = {Auld, Joshua and Verbas, Ömer and Gurumurthy, Krishna M. and de Souza, Felipe and Zuniga-Garcia, Natalia and Cokyasar, Taner and Sahin, Olcay and Khan, Nazmul Arefin and Mansour, Charbel and Cook, James and Huang, Yantao and Ismael, Abdelrahman and Hui, Shen and Magassy, Tassio and White, Griffin and Rousseau, Aymeric},
	month = jun,
	year = {2023},
}



@inproceedings{han_analytical_2022,
	address = {Atlanta, GA, USA},
	title = {Analytical {Anticipative} {Optimal} {Drivability} {Car}-{Following} {Model}},
	url = {https://anl.box.com/s/0vpi4f5hj4ouiostw6tyzaymib26fmm4},
	doi = {https://doi.org/10.23919/ACC53348.2022.9867588},
	abstract = {Replicating a human car-following behavior becomes more important for developing either a human driver model or human-like adaptive cruise control. The human driver model is especially a key element in simulation tools used for the development and evaluation of connected and automated vehicle driving controls. In this paper, we propose an analytical
anticipative optimal drivability car-following model that can capture a dynamic car-following behavior while maximizing driving comfort without collisions in a computational-efficient
way. We formulate drivability-oriented car-following as an optimal control problem, and then reformulate it to a bi-level optimization problem in order to facilitate analytical treatment.
By employing optimal control theory, we can transform the bi-level optimization problem into a nonlinear programming problem and derive its analytical solutions. To validate the
proposed model, we post-processed and used Next Generation SIMulation (NGSIM) data. Results show that the proposed parametric model can generate stable car-following behaviors and its vehicle state trajectories are well matched with NGSIM data, thereby significantly improving root-mean-square error of
speed and distance gap compared to the existing car-following model.},
	booktitle = {2022 {American} {Control} {Conference} ({ACC})},
	author = {Han, Jihun and Karbowski, Dominik and Rousseau, Aymeric},
	month = jun,
	year = {2022},
	keywords = {DOE SMART, Driver Modeling, RoadRunner},
}



@inproceedings{gupta_koopman_2022,
	address = {Atlanta, GA, USA},
	title = {Koopman {Model} {Predictive} {Control} for {Eco}-{Driving} of {Automated} {Vehicles}},
	url = {https://anl.box.com/s/767hekd8hze41g96eaj3eqcea1cr5jzk},
	doi = {https://doi.org/10.23919/ACC53348.2022.9867636},
	abstract = {In this paper, we develop a data-driven process for building a model predictive control (MPC) for eco-driving of automated vehicles. The process involves performing system identification in which the non-linear vehicle dynamics model is approximated by the Koopman operator, a linear predictor of higher state-dimension, in a data-driven framework. This approach allows us to formulate the eco-driving problem in a constrained quadratic program that leads to a computationally fast MPC. The MPC is then implemented as a closed-loop control of an electric vehicle in numerical simulations for demonstration.},
	booktitle = {2022 {American} {Control} {Conference} ({ACC})},
	publisher = {IEEE},
	author = {Gupta, Shobhit and Shen, Daliang and Karbowski, Dominik and Rousseau, Aymeric},
	month = jun,
	year = {2022},
	note = {ANL},
	keywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},
}



@inproceedings{shen_data-driven_2022,
	address = {Columbus, OH, USA},
	title = {Data-{Driven} {Design} of {Model} {Predictive} {Control} for {Powertrain}-{Aware} {Eco}-{Driving} {Considering} {Nonlinearities} {Using} {Koopman} {Analysis}},
	url = {https://anl.box.com/s/z10wanslss63r43ijydihby9izbkfm31},
	doi = {https://doi.org/10.1016/j.ifacol.2022.10.271},
	abstract = {Eco-driving is a highly nonlinear control problem. The
nonlinearities include the complex energy
conversion/dissipation in the powertrain, environmental
influences such as road grade and aerodynamic drag, and
constraints due to traffic signs, safety issues, and
physical limits of the vehicle system. In recent years,
researchers have increasingly revisited the Koopman
operator to linearize nonlinear dynamics so that the lifted
system evolves linearly in a higher dimensional space. This
paper adopts such an approximation technique to construct
the lifted state space in a data-driven procedure that
allows us to incorporate in the cost function the
powertrain nonlinear inefficiency in vehicle speed, and
system perturbations due to the nonlinear road grade
nonlinear in position. In addition, the nonlinear
constraints in states can also be handled linearly. The
resultant formulation of a linearly constrained quadratic
program can be readily applied to design a model predictive
control that enjoys a low computation load as with a linear
dynamic system. Simulation results demonstrate additional
energy saving potential compared to a linear approach.},
	booktitle = {10th {IFAC} {International} {Symposium} on {Advances} in {Automotive} {Control} (accepted)},
	author = {Shen, Daliang and Han, Jihun and Karbowski, Dominik and Rousseau, Aymeric},
	month = aug,
	year = {2022},
	note = {ANL},
	keywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},
}



@article{hyeon_forecasting_2021,
	title = {Forecasting {Short} to {Mid}-length {Speed} {Trajectories} of {Preceding} {Vehicle} using {V2X} {Connectivity} for {Eco}-{Driving} of {Electric} {Vehicles}},
	volume = {3},
	url = {https://anl.box.com/s/gganzlbo4iaj70fxqpcsiro59hmfcmqt},
	doi = {https://doi.org/10.4271/2021-01-0431},
	abstract = {In recent studies, optimal control has shown promise as a strategy for enhancing the energy efficiency of connected autonomous vehicles. To maximize optimization performance, it is important to accurately predict constraints, especially separation from a vehicle in front. This paper proposes a novel prediction method for forecasting the trajectory of the nearest preceding car. The proposed predictor is designed to produce short to medium-length speed trajectories using a locally weighted polynomial regression algorithm. The polynomial coefficients are trained by using two types of information: (1) vehicle-to-vehicle (V2V) messages transmitted by multiple preceding vehicles and (2) vehicle-to-infrastructure (V2I) information broadcast by roadside equipment. The predictor’s performance was tested in a multi-vehicle traffic simulation platform, RoadRunner, previously developed by Argonne National Laboratory. The simulation results show that the proposed predictor’s improved predictions can reduce energy consumption by 5\% over eco-driving with the baseline predictor.},
	number = {4},
	journal = {SAE International Journal of Advances and Current Practices in Mobility},
	author = {Hyeon, Eunjeong and Shen, Daliang and Karbowski, Dominik and Rousseau, Aymeric},
	month = apr,
	year = {2021},
	note = {ANL},
	keywords = {Connected and Automated Vehicles, DOE SMART, Driver Modeling, RoadRunner, Vehicle control},
	pages = {1801--1809},
}



@inproceedings{lee_real-time_2021,
	address = {Detroit, MI, USA},
	title = {A {Real}-{Time} {Intelligent} {Speed} {Optimization} {Planner} {Using} {Reinforcement} {Learning}},
	url = {https://anl.box.com/s/c8ulclbcvrl5dve3yqans6vpv5onpz4v},
	doi = {https://doi.org/10.4271/2021-01-0434},
	abstract = {As connectivity and sensing technologies become more mature,
automated vehicles can predict future driving situations and utilize this
information to drive more energy-efficiently than human-driven
vehicles. However, future information beyond the limited connectivity
and sensing range is difficult to predict and utilize, limiting the energysaving
potential of energy-efficient driving. Thus, we combine a
conventional speed optimization planner, developed in our previous
work, and reinforcement learning to propose a real-time intelligent
speed optimization planner for connected and automated vehicles. We
briefly summarize the conventional speed optimization planner with
limited information, based on closed-form energy-optimal solutions,
and present its multiple parameters that determine reference speed
trajectories. Then, we use a deep reinforcement learning (DRL)
algorithm, such as a deep Q-learning algorithm, to find the policy of
how to adjust these parameters in real-time to dynamically changing
situations in order to realize the full potential of energy-efficient
driving. The model-free DRL algorithm, based on the experience of
the system, can learn the optimal policy through iteratively interacting
with different driving scenarios without increasing the limited
connectivity and sensing range. The training process of the parameter
adaptation policy exploits a high-fidelity simulation framework that
can simulate multiple vehicles with full powertrain models and the
interactions between vehicles and their environment. We consider
intersection-approaching scenarios where there is one traffic light with
different signal phase and timing setup. Results show that the learned
optimal policy enables the proposed intelligent speed optimization
planner to properly adjust the parameters in a piecewise constant
manner, leading to additional energy savings without increasing total
travel time compared to the conventional speed optimization planner.},
	booktitle = {{SAE} {Technical} {Paper} 2021-01-0434},
	publisher = {SAE International},
	author = {Lee, Woong and Han, Jihun and Zhang, Yaozhong and Karbowski, Dominik and Rousseau, Aymeric and Kim, Namwook},
	month = apr,
	year = {2021},
	keywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},
}



@inproceedings{cokyasar_optimization_2023,
	title = {An optimization model for solving the route clustering problem},
	volume = {220},
	url = {https://doi.org/10.1016/j.procs.2023.03.025},
	doi = {https://doi.org/10.1016/j.procs.2023.03.025},
	booktitle = {The 14th international conference on ambient systems, networks and technologies ({ANT})},
	publisher = {Procedia Computer Science},
	author = {Cokyasar, Taner and Davatgari, Amir and Mohammadian, Abolfazl Kouros},
	year = {2023},
	pages = {180--186},
}



@inproceedings{paul_integrating_2024,
	title = {Integrating {Human} {Factors} in {Dynamic} {Rideshare} {Assignment}: {Willingness}-{To}-{Pay} for {Delay}},
	booktitle = {Submitted for presentation at the 103rd {Transportation} {Research} {Board} ({TRB}) {Annual} {Meeting}},
	author = {Paul, Joseph and Gurumurthy, Krishna Murthy and Cokyasar, Taner and Su, Haotian and Auld, Joshua and Jia, Yunyi},
	month = jan,
	year = {2024},
}



@article{subramanyam_joint_2022,
	title = {Joint routing of conventional and range-extended electric vehicles in a large metropolitan network},
	volume = {144},
	url = {https://www.sciencedirect.com/science/article/pii/S0968090X22002510},
	doi = {https://doi.org/10.1016/j.trc.2022.103830},
	number = {103830},
	journal = {Transportation Research Part C: Emerging Technologies},
	author = {Subramanyam, Anirudh and Cokyasar, Taner and Larson, Jeffrey and Stinson, Monique},
	year = {2022},
}



@article{cokyasar_time-constrained_2023-1,
	title = {Time-constrained capacitated vehicle routing problem in urban e-commerce delivery},
	volume = {2677},
	url = {https://journals.sagepub.com/doi/full/10.1177/03611981221124592},
	doi = {https://doi.org/10.1177/03611981221124592},
	number = {2},
	journal = {Transportation Research Record},
	author = {Cokyasar, Taner and Subramanyam, Anirudh and Larson, Jeffrey and Stinson, Monique and Sahin, Olcay},
	year = {2023},
	pages = {190--203},
}



@article{cokyasar_comparing_2023,
	title = {Comparing regional energy consumption for direct drone and truck deliveries},
	volume = {2677},
	url = {https://journals.sagepub.com/doi/full/10.1177/03611981221145137},
	doi = {https://doi.org/10.1177/03611981221145137},
	number = {2},
	journal = {Transportation Research Record},
	author = {Cokyasar, Taner and Stinson, Monique and Sahin, Olcay and Prabhakar, Nirmit and Karbowski, Dominik},
	year = {2023},
	pages = {310--327},
}



@inproceedings{gupta_x---loop_2023,
	address = {Austin, TX, USA},
	title = {An {X}-in-the-{Loop} ({XIL}) {Testing} {Framework} for {Validation} of {Connected} and {Autonomous} {Vehicles}},
	url = {https://anl.box.com/s/f97c1x90ycgxj66xddgzyjyjt0pix34m},
	booktitle = {{IEEE} {International} {Automated} {Vehicle} {Validation} {Conference} 2023},
	author = {Gupta, Prakhar and Wang, Rongyao and Ard, Tyler and Han, Jihun and Karbowski, Dominik and Vahidi, Ardalan and Jia, Yunyi},
	month = oct,
	year = {2023},
	keywords = {CAV, Connected and Automated Vehicles, DOE SMART, Vehicle control, XIL Testing},
}



@article{kavianipour_deploying_2023,
	title = {Deploying {Fast} {Charging} {Infrastructure} for {Electric} {Vehicles} in {Urban} {Networks}: {An} {Activity}-{Based} {Approach}},
	abstract = {This paper explores an important problem under the domain of network modeling, the optimal configuration of charging infrastructure for electric vehicles (EVs) in urban networks considering EV users’ daily activities and charging behavior. This study proposes a charging behavior simulation model considering different initial state of charges (SOC), travel distance, availability of home chargers, and the daily schedule of trips for each traveler. The proposed charging behavior simulation model examines the complete chain of trips for EV users as well as the interdependency of trips traveled by each driver. Then, the problem of finding the optimum charging configuration is formulated as a Mixed-Integer Nonlinear Programming that considers travel time and travel distance dynamics, the interdependency of trips made by each driver, limited range of EVs, remaining battery capacity for recharging, waiting time in queue, and the detour to access a charging station. This problem is solved using a metaheuristic approach for a large-scale case network. A series of examples are presented to demonstrate the model efficacy and explore the impact of energy consumption on the final SOC and the optimum charging infrastructure.},
	journal = {Transportation Research Record},
	author = {Kavianipour, Mohammadreza and Verbas, Omer and Rostami, Alireza and Soltanpour, Amirali and Gurumurthy, Krishna Murthy and Ghamami, Mehrnaz and Zockaie, Ali},
	year = {2023},
}



@inproceedings{rostami_exploring_2023,
	address = {Washington, D.C.},
	title = {Exploring {Impacts} of {Electricity} {Tariff} {And} {Power} {Grid} {Constraints} {On} {Charging} {Behavior} {And} {Fast} {Charging} {Infrastructure} {Deployment} {In} {Urban} {Networks}: {An} {Activity}-{Based} {Approach}},
	abstract = {In the past decade, electric vehicles (EVs) have experienced a significant surge in popularity as a highly efficient and environmentally friendly mode of transportation. However, EV users struggle with range anxiety and inadequate charging infrastructure. Recent advancements in battery technology and charging equipment have resulted in long-range EVs and fast-charging technology. Despite these advancements, many major cities continue to face a lack of sufficient charging infrastructure to cater to the daily urban trips of EV users. The interaction between the electricity grid demand and supply availability plays an important role to identify the appropriate locations for deployment of such infrastructure. However, most of developed models in the literature neglect this important factor. Thus, this study incorporates the integration of activity based modeling, charging behavior simulation, and charging infrastructure optimization model. The study employs POLARIS, a cutting-edge agent-based transportation model, to realistically capture user activities, trip chains, and resulting traffic patterns within a network. Additionally, a charging behavior simulation is incorporated to accurately estimate the charging demand of EVs based on their trajectories, battery performance, daily activities, and access to home charging. Next, a mathematical optimization model is reformulated to capture impacts of spatial and temporal distribution of electricity rates on the optimal deployment of charging infrastructure. Finally, the proposed framework incorporates the optimal charging station locations and number of chargers into the POLARIS platform to monitor users’ response. The framework is applied to the Chicago regional area network and rigorously tested and analyzed under various EV ownership and charging pricing scenarios.},
	author = {Rostami, Alireza and Verbas, Omer and Soltanpour, Amirali and Ghafarnezhad, Behdad and Ghamami, Mehrnaz and Zockaie, Ali},
	month = aug,
	year = {2023},
}



@inproceedings{cokyasar_solving_2023,
	address = {Bilbao, Spain},
	title = {Solving the {Electric} {Vehicle} {Scheduling} {Problem} at {Large}-{Scale}},
	abstract = {Transit is the backbone of the transportation sector that not only reduces traffic congestion and environmental impact but also provides equity as an affordable mobility service. Bus electrification has an utmost importance to achieve global net-zero economy goals since buses are the main source of emissions in the transit sector. In this study, we revisit the single depot vehicle scheduling problem (SDVSP) to address the operational constraints electrification brings in. To this end, we follow a two-stage modeling approach: We solve an SDVSP model to form vehicle blocks in the first stage, and chain these blocks considering spatio-temporal and state-of-charge conditions in the second stage. A greedy algorithm heuristic is developed to address the complexity of the block chaining problem. Since transit agencies readily use SDVSP models to form blocks, incorporating a straightforward block chaining heuristic makes the solution approach easy to implement. An analysis conducted using this solution framework found that the electric vehicle range plays a key role in determining the fleet size. A 150-mile vehicle range allows for 98\% electrification where each diesel vehicle is replaced by 1.6 electric vehicles. This also means a 25\% increase in non-revenue time.},
	author = {Cokyasar, Taner and Verbas, Omer and Davatgari, Amir and Mohammadian, A. (Kouros)},
	month = oct,
	year = {2023},
}



@incollection{han_impact_2023,
	title = {Impact of {Vehicle} {Automation} on {Energy} {Consumption}},
	url = {https://anl.box.com/s/xphlw17wcn67tskl0sg7eh7iz7i3ef9q},
	booktitle = {Road {Vehicle} {Automation} 9},
	publisher = {Springer, Cham},
	author = {Han, Jihun and Karbowski, Dominik and Jeong, Jongryeol and Kim, Namdoo and Grave, Julien and Shen, Daliang and Zhang, Yaozhong and Rousseau, Aymeric},
	year = {2023},
	keywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},
	pages = {53--70},
}



@article{ard_energy-efficient_2023,
	title = {Energy-{Efficient} {Driving} in {Connected} {Corridors} {Via} {Minimum} {Principle} {Control}: {Vehicle}-in-{The}-{Loop} {Experimental} {Verification} in {Mixed} {Fleets}},
	volume = {8},
	url = {https://anl.box.com/s/sk9c669t0190x3rx70v09fwp2zwl8p1g},
	doi = {10.1109/TIV.2023.3234261},
	number = {2},
	journal = {IEEE Transactions on Intelligent Vehicles},
	author = {Ard, Tyler and Guo, Longxiang and Han, Jihun and Jia, Yunyi and Vahidi, Ardalan and Karbowski, Dominik},
	year = {2023},
	keywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control, XIL Workflow},
	pages = {1279 -- 1291},
}



@article{han_energy_2023,
	title = {Energy {Impact} of {Connecting} {Multiple} {Signalized} {Intersections} to {Energy}-{Efficient} {Driving}: {Simulation} and {Experimental} {Results}},
	volume = {7},
	url = {https://anl.box.com/s/0cozkl9bxr811kbsh3hbvubx93dpwgir},
	doi = {10.1109/LCSYS.2023.3234808},
	abstract = {Vehicle-to-everything (V2X) communication connects vehicles and enables collision-free and energy-efficient driving, such as eco-approaches and departures at signalized intersections. An
increased connectivity range can connect multiple signalized intersections and lead to long-term energy-efficient driving using richer information. However, no published studies to date
provide insights into the energy saving potential of increasing the connectivity range. In this article, we present a V2X-enabled eco-driving control that can perform multiple traffic signal ecoapproaches, and we systematically design a large-scale simulation study to quantify the energy impact of the increased V2X range for various scenarios. Simulation results show that the V2X-enabled eco-driving control can reduce energy use by up to 40\%, on average, compared to the baseline, depending on road attributes and vehicle powertrain type. We validate these findings by evaluating the controller through a vehicle-in-theloop (VIL) test platform.},
	journal = {IEEE Control Systems Letters},
	author = {Han, Jihun and Shen, Daliang and Jeong, Jongryeol and Russo, Miriam Di and Kim, Namdoo and Grave, Julien Jean and Karbowski, Dominik and Rousseau, Aymeric and Stutenberg, Kevin},
	year = {2023},
	keywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},
	pages = {1297 -- 1302},
}



@article{gurumurthy_system_2021,
	title = {A system of shared autonomous vehicles for {Chicago}},
	volume = {14},
	number = {1},
	journal = {Journal of Transport and Land Use},
	author = {Gurumurthy, Krishna Murthy and Kockelman, Kara M and Auld, Joshua},
	year = {2021},
	pages = {933--948},
}



@article{parsa_data-driven_2021,
	title = {A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow},
	volume = {13},
	number = {10},
	journal = {Transportation letters},
	author = {Parsa, Amir Bahador and Shabanpour, Ramin and Mohammadian, Abolfazl and Auld, Joshua and Stephens, Thomas},
	year = {2021},
	note = {Publisher: Taylor \& Francis},
	pages = {687--695},
}



@article{cokyasar_dynamic_2022,
	title = {Dynamic {Ride}-{Matching} for {Large}-{Scale} {Transportation} {Systems}},
	volume = {2676},
	issn = {0361-1981},
	url = {https://doi.org/10.1177/03611981211049422},
	doi = {10.1177/03611981211049422},
	abstract = {Efficient dynamic ride-matching (DRM) in large-scale transportation systems is a key driver in transport simulations to yield answers to challenging problems. Although the DRM problem is simple to solve, it quickly becomes a computationally challenging problem in large-scale transportation system simulations. Therefore, this study thoroughly examines the DRM problem dynamics and proposes an optimization-based solution framework to solve the problem efficiently. To benefit from parallel computing and reduce computational times, the problem’s network is divided into clusters utilizing a commonly used unsupervised machine learning algorithm along with a linear programming model. Then, these sub-problems are solved using another linear program to finalize the ride-matching. At the clustering level, the framework allows users adjusting cluster sizes to balance the trade-off between the computational time savings and the solution quality deviation. A case study in the Chicago Metropolitan Area, U.S., illustrates that the framework can reduce the average computational time by 58\% at the cost of increasing the average pick up time by 26\% compared with a system optimum, that is, non-clustered, approach. Another case study in a relatively small city, Bloomington, Illinois, U.S., shows that the framework provides quite similar results to the system-optimum approach in approximately 62\% less computational time.},
	language = {en},
	number = {3},
	urldate = {2023-08-01},
	journal = {Transportation Research Record},
	author = {Cokyasar, Taner and de Souza, Felipe and Auld, Joshua and Verbas, Omer},
	month = mar,
	year = {2022},
	pages = {172--182},
}



@article{jabbari_how_2022,
	title = {How do perceptions of safety and car ownership importance affect autonomous vehicle adoption?},
	volume = {28},
	journal = {Travel behaviour and society},
	author = {Jabbari, Parastoo and Auld, Joshua and MacKenzie, Don},
	year = {2022},
	note = {Publisher: Elsevier},
	pages = {128--140},
}



@article{bostanara_comparison_2021,
	title = {A comparison between residential relocation timing of {Sydney} and {Chicago} residents: {A} {Bayesian} survival analysis},
	volume = {89},
	journal = {Computers, Environment and Urban Systems},
	author = {Bostanara, Maryam and Rashidi, Taha Hossein and Auld, Joshua and Ghasri, Milad},
	year = {2021},
	note = {Publisher: Pergamon},
	pages = {101659},
}



@article{cokyasar_designing_2021,
	title = {Designing a drone delivery network with automated battery swapping machines},
	volume = {129},
	issn = {0305-0548},
	url = {https://www.sciencedirect.com/science/article/pii/S030505482030294X},
	doi = {10.1016/j.cor.2020.105177},
	abstract = {Drones are projected to alter last-mile delivery, but their short travel range is a concern. This study proposes a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.},
	language = {en},
	urldate = {2023-08-01},
	journal = {Computers \& Operations Research},
	author = {Cokyasar, Taner and Dong, Wenquan and Jin, Mingzhou and Verbas, İsmail Ömer},
	month = may,
	year = {2021},
	keywords = {Drone delivery, Mixed-integer nonlinear programming, Network optimization, Queueing theory},
	pages = {105177},
}



@article{enam_automated_2022,
	title = {Do automated vehicle ({AV}) enthusiasts value travel time differently from cautious travelers? an exploration of travelers’ attitudes towards {AV}},
	volume = {45},
	number = {1},
	journal = {Transportation planning and technology},
	author = {Enam, Annesha and Ardeshiri, Ali and Rashidi, Taha H and Auld, Joshua},
	year = {2022},
	note = {Publisher: Routledge},
	pages = {19--38},
}



@article{tu_effects_2022,
	title = {Effects of trip-level characteristics on autonomous vehicle ownership: {A} {US} analysis},
	volume = {108},
	journal = {Transportation research part D: transport and environment},
	author = {Tu, Yuanjie Tukey and Jabbari, Parastoo and Khan, Nazmul Arefin and MacKenzie, Don},
	year = {2022},
	note = {Publisher: Pergamon},
	pages = {103321},
}



@article{aksari_addressing_2023,
	title = {Addressing {The} {Quality}-{Value}-{Satisfaction}-{Loyalty} {Framework} {In} {Post}-{Use} {Behaviors} {Of} {Shared} {E}-{Scooter} {Riders}},
	journal = {Transportation Research Record},
	author = {Aksari, Sadjad and Javadinasr, Mohammadjavad and Mohammadian, Abolfazl and Khan, Nazmul Arefin and Auld, Joshua},
	year = {2023},
	note = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},
	pages = {preparing},
}



@article{asgharpour_e-scooter_2023,
	title = {E-scooter {Safety}: {Exploring} {Attitudinal} {Factors} {Affecting} {Risky} {Behavior} among {Shared} {E}-scooter {Riders} in {Chicago}},
	journal = {Transportation Research Record},
	author = {Asgharpour, Sina and Javadinasr, Mohammadjavad and Mohammadian, Abolfazl and Khan, Nazmul Arefin and Auld, Joshua},
	year = {2023},
	note = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},
	pages = {preparing},
}



@article{ghasri_determinants_2023,
	title = {Determinants of residential mobility: an adaptive retrospective survey method},
	volume = {15},
	number = {2},
	journal = {Transportation letters},
	author = {Ghasri, Milad and Rashidi, Taha and Auld, Joshua},
	year = {2023},
	note = {Publisher: Taylor \& Francis},
	pages = {129--141},
}



@article{javadinasr_eliciting_2022,
	title = {Eliciting attitudinal factors affecting the continuance use of {E}-scooters: {An} empirical study in {Chicago}},
	volume = {87},
	journal = {Transportation research part F: traffic psychology and behaviour},
	author = {Javadinasr, Mohammadjavad and Asgharpour, Sina and Rahimi, Ehsan and Choobchian, Pooria and Mohammadian, Abolfazl Kouros and Auld, Joshua},
	year = {2022},
	note = {Publisher: Pergamon},
	pages = {87--101},
}



@article{bostanara_co-determination_2023,
	title = {The co-determination of home and workplace relocation durations using survival copula analysis},
	volume = {99},
	journal = {Computers, Environment and Urban Systems},
	author = {Bostanara, Maryam and Rashidi, Taha Hossein and Khan, Nazmul Arefin and Auld, Joshua and Ghasri, Milad and Grazian, Clara},
	year = {2023},
	note = {Publisher: Pergamon},
	pages = {101898},
}



@article{enam_people_2023,
	title = {Do people spend travel time the way they think they would? a comparative study of generic and trip-specific travel time allocation using hybrid multiple discrete continuous ({MDC}) framework},
	journal = {Transportation Letters},
	author = {Enam, Annesha and Auld, Joshua and Rashidi, Taha H},
	year = {2023},
	note = {Publisher: Taylor \& Francis},
	pages = {1--12},
}



@article{jabbari_evidence_2023,
	title = {Evidence for {Modal} {Inertia} in {Multimodal} {Tours}: {An} {Integrated} {Choice} and {Latent} {Variable} {Modeling} {Approach}},
	journal = {Transportation Research Record},
	author = {Jabbari, Parastoo and Khan, Nazmul Arefin and MacKenzie, Don},
	year = {2023},
	note = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},
	pages = {03611981231170185},
}



@article{javadiansr_coupling_2023,
	title = {Coupling shared {E}-scooters and public transit: a spatial and temporal analysis},
	journal = {Transportation Letters},
	author = {Javadiansr, Mohammadjavad and Davatgari, Amir and Rahimi, Ehsan and Mohammadi, Motahare and Mohammadian, Abolfazl and Auld, Joshua},
	year = {2023},
	note = {Publisher: Taylor \& Francis},
	pages = {1--18},
}



@article{khan_exploring_2023,
	title = {Exploring {The} {Effects} {Of} {E}-{Scooter} {Adoption} {In} {A} {Region}: {A} {Case} {Study} {Of} {Chicago}},
	journal = {Transportation Research Record},
	author = {Khan, Nazmul Arefin and Gurumurthy, Krishna Murthy and Auld, Joshua},
	year = {2023},
	note = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},
	pages = {preparing},
}



@article{singh_unveiling_2023,
	title = {Unveiling the {Influence} of {Latent} {Factors} on {Micromobility} {Mode} {Choice}},
	journal = {Transportation Research Record},
	author = {Singh, Rubina and Oshanreh, Mohammad and Khan, Nazmul Arefin and Auld, Joshua},
	year = {2023},
	note = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},
	pages = {preparing},
}



@article{tu_effects_2023,
	title = {Effects of {Trip} {Attributes} on {Ridehailing} {Driver} {Trip} {Request} {Acceptance}},
	volume = {accepted},
	journal = {International Journal of Sustainable Transportation},
	author = {Tu, Yuanjie Tukey and Khaloei, Moein and Khan, Nazmul Arefin and MacKenzie, Don},
	year = {2023},
	note = {Publisher: Pergamon},
	pages = {accepted},
}



@article{zuniga-garcia_freight_2023,
	title = {A freight asset choice model for agent-based simulation models},
	volume = {220},
	journal = {Procedia Computer Science},
	author = {Zuniga-Garcia, Natalia and Ismael, Abdelrahman and Stinson, Monique},
	year = {2023},
	note = {Publisher: Elsevier},
	pages = {704--709},
}



@article{javadinasr_individual-level_2023,
	title = {Individual-{Level} {Analysis} {Of} {The} {Integration} {Of} {E}-{Scooters} {And} {Transit}},
	journal = {Transportation Research Record},
	author = {Javadinasr, Mohammadjavad and Asgharpour, Sina and Mohammadian, Abolfazl and Khan, Nazmul Arefin and Auld, Joshua},
	year = {2023},
	note = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},
	pages = {preparing},
}



@article{khan_modeling_2023,
	title = {Modeling {Household}-{Level} {Party} {Choice} {Behavior} for {Multiparty} {Activities}: {A} {Random} {Parameter} {Nested} {Logit} {Modeling} {Approach}},
	journal = {Transportation Letters},
	author = {Khan, Nazmul Arefin and Auld, Joshua},
	year = {2023},
	note = {Publisher: Taylor \& Francis},
	pages = {under--review},
}



@article{mohammadi_investigating_2023,
	title = {Investigating {Long}-{Distance} {Travel} {Patterns}: {Factors} {Shaping} {Trip} {Frequency}, {Start} {Time} {Preferences}, {Mode} {Choice} {And} {Destination} {Location} {Choices}},
	journal = {Transportation Research Record},
	author = {Mohammadi, Motahare and Khan, Nazmul Arefin and Davatgari, Amir and Mohammadian, Abolfazl and Auld, Joshua},
	year = {2023},
	note = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},
	pages = {preparing},
}



@article{oshanreh_tour-level_2023,
	title = {Tour-{Level} {Mode} {Choices} and {Their} {Impact} on {Car} {Ownership} {Decisions}},
	journal = {Transportation Research Record},
	author = {Oshanreh, Mohammad and Singh, Rubina and Khan, Nazmul Arefin and Auld, Joshua},
	year = {2023},
	note = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},
	pages = {preparing},
}



@article{shakeel_we_2023,
	title = {Do {We} {Care} as {Much} to {Pay} to {Stay} {Productive} {Travelling} on an {AV}},
	journal = {Transportation Research Part A: Policy and Practice},
	author = {Shakeel, Kiran and Khan, Nazmul Arefin and Ardeshiri, Ali and Rashidi, Taha},
	year = {2023},
	note = {Publisher: Pergamon},
	pages = {under--review},
}



@inproceedings{de_souza_lc-abm_2023,
	address = {Washington, D.C.},
	title = {{LC}-{ABM}: {A} {Lagrangian} {Coordinates} {Model} for {Large}-{Scale} {Heterogeneous} {Traffic}},
	abstract = {Agent-based modeling has become increasingly prevalent in the field of transportation systems simulation as the scenarios around new technologies and policies that such models are applied to become increasingly complex. This increased complexity, in terms of traveler behavior, traffic flow, modal operations, system management, and so on, requires increasingly sensitive and detailed representation of the core components of the simulation, especially as it relates to traffic flow. Many future mobility solutions rely on connectivity, communication, advanced sensing and detailed information flows, which all need to be included, while the simulation also need to remain computationally efficient. In this paper we propose an new Lagrangian-Coordinate Agent-based model (LC-ABM) of traffic flow which combines computational efficiency while capturing vehicle interactions within a link through a reparameterization of the fundamental flow diagram as speed-spacing relation. This model enables and individual vehicle’s position to be tracked throughout each link while still maintaining consistency with the overall fundamental flow properties. This model allows multi-class traffic flow by allowing individual vehicle types to maintain different speed-spacing relationships, and also allows for mid-lane blockages and other bottlenecks by allowing the capacity within the link to vary at specified points. This advantage of the LC-ABM traffic flow model is demonstrated through a study of on-demand pick-up and drop-off trips in Bloomington, IL. We demonstrate the impact of different TNC penetration rate, number of trips and drop-off dwell time on overall network speed, and show that the model is capable of representing this phenomenon.},
	author = {de Souza, Felipe and Gurumurthy, Krishna M. and Verbas, Omer and Auld, Joshua},
	month = aug,
	year = {2023},
}



@inproceedings{sarma_-demand_2023,
	address = {Washington, D.C.},
	title = {On-demand {Ride}-pooling with {Walking} {Legs}: {Decomposition} {Approach} for {Dynamic} {Matching} and {Virtual} {Stops} {Selection}},
	abstract = {Door-to-door (D2D) ride-hailing services currently dominate the mobility-on-demand (MOD) market, but several alternative MOD service types offer operational and societal benefits. Three such MOD services include D2D ride-pooling, corner-to-corner (C2C) ride-hailing, and C2C ride-pooling. C2C service requires travelers to walk a short distance to/from a pickup/drop-off location. The goals of this study are two-fold. First, we compare these four MOD services in terms of operator costs (e.g., vehicle kilometers per request served) and user costs (e.g., assignment time, wait time, walk time, and invehicle time). Second, we develop an effective and scalable decision policy and solution algorithm for operating a C2C ride-pooling service. At each decision epoch, the operator must dynamically assign vehicles to requests, route and schedule vehicles, and assign travelers to pickup and drop-off (PUDO) locations. To address this problem, we propose decomposing the problem into a matching, routing, and scheduling subproblem, and a PUDO locations selection subproblem. We use geographic, network, and vehicle information, as well as optimization techniques to solve the two subproblems. The computational experiments confirm a clear trade-off across the four services in terms of operator costs and user costs. With D2D ridehailing as the baseline, (i) ride-pooling significantly reduces operator costs, while slightly increasing user costs; (ii) C2C slightly reduces operator costs while increasing user costs; (iii) combining ride-pooling and C2C appears to provide additive benefits in terms of operator costs.},
	author = {Sarma, Navjyoth J.S and Gurumurthy, Krishna M. and Hyland, Michael and Bahk, Younghun and de Souza, Felipe and Verbas, Omer and Wang, Zifan},
	month = aug,
	year = {2023},
}



@inproceedings{davatgari_heuristic_2023,
	address = {Washington, D.C.},
	title = {Heuristic {Approaches} for {The} {Electric} {Vehicle} {Scheduling} {Problem}: {Large}-{Scale} {Application} {With} {Next} {Day} {Operability} {Constraints}},
	abstract = {This study focuses on the single depot electric vehicle scheduling problem (SDEVSP) within the broader context of the vehicle scheduling problem (VSP). By developing an effective scheduling model using mixed-integer linear programming (MILP), we generate bus blocks (tours) that accommodate EVs, ensuring successful completion of each block while considering recharging requirements between blocks and during offhours. Next day operability constraints are also incorporated, allowing for seamless repetition of blocks on subsequent days. The SDEVSP is known to be computationally complex, deriving optimal solutions unattainable for large-scale problems within reasonable timeframes. To address this, we propose a two-step solution approach: first solving the single depot VSP with time constraints (SDVSPTC), and then addressing the block chaining problem (BCP) using the blocks generated in the first step. The BCP focuses on optimizing block combinations to facilitate recharging between consecutive blocks, considering operational constraints.},
	author = {Davatgari, Amir and Cokyasar, Taner and Verbas, Omer and Mohammadian, Abolfazl (Kouros)},
	month = aug,
	year = {2023},
}



@inproceedings{kagho_framework_2023,
	address = {Washington, D.C.},
	title = {Framework {For} {Analyzing} {Equity}-{Concerns} {Related} to {Mobility} {On}-{Demand}},
	abstract = {This study looks at the concept of equity in the context of urban transportation, particularly focusing on Mobility on-Demand (MoD) simulations. MoD services, such as ride-hailing and shared autonomous vehicles, have the potential to transform transportation systems, offering new opportunities to enhance equity while reducing transport externalities. However, a comprehensive assessment of the equity impacts resulting from the integration of these services into various transport scenarios is lacking in most MoD simulations. Even though this is essential in informing policy and decision-making, as MoD impacts on equity are complex and depend on various factors, including service availability, affordability, accessibility, and their interaction with existing transportation modes. Therefore, this study presents a framework for evaluating and quantifying equity impact in MoD simulations. Several metrics are defined, such as demographic equity, spatial equity distribution, spatial regression analysis, hotspots and coldspots cluster identification and social inclusion analysis. The effectiveness of this framework is presented using a first-mile-last-mile subsidy case study for two US regions, Austin and Chicago. The findings from these case studies underscored the importance of equityfocused assessments in simulating MoD policy scenarios. And how it is essential to take into account the varying needs of different sociodemographic groups and ensure that the services are distributed in a manner that improves accessibility and affordability for all, particularly the most vulnerable groups.},
	author = {Kagho, Grace O. and Gurumurthy, Krishna M. and Verbas, Omer and Auld, Joshua},
	month = aug,
	year = {2023},
}



@article{holland_complex_1992,
	title = {Complex {Adaptive} {Systems}},
	volume = {121},
	issn = {0011-5266},
	url = {https://www.jstor.org/stable/20025416},
	number = {1},
	urldate = {2023-08-02},
	journal = {Daedalus},
	author = {Holland, John H.},
	year = {1992},
	note = {Publisher: The MIT Press},
	pages = {17--30},
}



@inproceedings{dean_integrated_2023,
	address = {Washington, D.C.},
	title = {An {Integrated} {Transportation}-{Power} {System} {Model} for a {Decarbonizing} {World}},
	abstract = {The increasing demand for electricity from electric vehicles (EVs) will require new paradigms to guarantee reliable and low-cost electricity. This study evaluated an approach to coupling an agent-based travel demand simulator and an electricity grid model to assess the economic costs of supplying power to meet this additional demand in Chicago. The study found that shifting from personal EVs to a fleet of shared, fully-automated all-electric vehicles (SAEVs) could lower per-mile emissions, congestion, and embodied vehicle and charging infrastructure emissions. The results should compel policymakers to shift the cost of providing power onto commercial customers, like electric ride-hail fleets, through price-indexed electricity prices, which can shift charging to off-peak periods or away from resource-scarce hours.},
	author = {Dean, Matthew D. and Gurumurthy, Krishna M. and Zhou, Zhi and Verbas, Omer and Cokyasar, Taner and Kockelman, Kara M.},
	month = aug,
	year = {2023},
}



@inproceedings{ng_can_2023,
	address = {Washington, D.C.},
	title = {Can {Redesigning} {Public} {Transit} {Network} with {Shared} {Autonomous} {Mobility} {Services} {Improve} {Equity}?},
	abstract = {Against the backdrop of inequitable transit access and declining transit ridership in North America, this study examines the potential of transit redesign with shared autonomous mobility services (SAMS) to improve equity on top of general performance. Using the origin-destination travel time in Chicago metropolitan area modeled with multimodal transit design before and after infrastructure investment with SAMS, we investigate multiple metrics including travel time and accessible opportunities score to evaluate horizontal and vertical equity improvement. With constructs including magnitude difference, transit-to-driving ratio, and Lorenz Curve and Gini Index, the transit access gap across zones and between transit users and drivers is found to be reduced. Differential improvement in equity is seen across suburbs and areas of the city. The findings underscore the importance of geospatial and equity considerations in transit design. Measures from multiple dimensions should be employed in equity analysis to understand the benefits associated with transit planning and investment.},
	author = {Ng, T.M., Max and Raymer, Meredith and Mahmassani, Hani S. and Verbas, Omer and Cokyasar, Taner},
	month = aug,
	year = {2023},
}



@inproceedings{auld_validating_2021,
	address = {Washington, D.C.},
	title = {Validating {POLARIS} {Ride}-hail {Simulation} through {Back}-casting in {Chicago}},
	author = {Auld, Joshua and Verbas, Omer and de Souza, Felipe and Enam, Annesha},
	year = {2021},
}



@incollection{enam_autonomous_2021,
	address = {Oxford},
	title = {Autonomous {Vehicles} and {Transportation} {Modeling}},
	isbn = {978-0-08-102672-4},
	url = {https://www.sciencedirect.com/science/article/pii/B9780081026717103835},
	abstract = {The era of connected and automated vehicle (CAV) seems to be quickly approaching. The implications of CAV technology is often times speculated to be as disruptive as the consequences of the invention of automobile. CAV is thought to bring changes in every sector of transportation system—starting with the traffic flow characteristics, to the day-to-day travel behavior, distribution of land use, as well as changes in mechanisms for system level control. However, there exists wide range of uncertainties about the factors relating to CAV deployment, operation and adoption. As a result considerable research has been undertaken to understand the implications of different ranges of assumption on travel demand, regional mobility, energy use, and emissions using a variety of transportation models. This paper provides a concise summary of the broad range of assumptions related to CAV deployment, and their implications on regional mobility. The paper also attempts to identify different modeling techniques adopted to study CAV implications. The paper concludes with a narration of the limitations of the existing studies and the scope for future research.},
	language = {en},
	urldate = {2023-08-01},
	booktitle = {International {Encyclopedia} of {Transportation}},
	publisher = {Elsevier},
	author = {Enam, Annesha and de Souza, Felipe and Verbas, Omer and Stinson, Monique and Auld, Joshua},
	editor = {Vickerman, Roger},
	month = jan,
	year = {2021},
	doi = {10.1016/B978-0-08-102671-7.10383-5},
	keywords = {Activity-based modeling, Autonomous vehicles, Land use, Modeling, Simulation, System control, Traffic flow, Travel demand},
	pages = {557--563},
}



@article{cokyasar_designing_2021-1,
	title = {Designing a drone delivery network with automated battery swapping machines},
	volume = {129},
	issn = {0305-0548},
	url = {https://www.sciencedirect.com/science/article/pii/S030505482030294X},
	doi = {10.1016/j.cor.2020.105177},
	abstract = {Drones are projected to alter last-mile delivery, but their short travel range is a concern. This study proposes a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.},
	language = {en},
	urldate = {2023-08-01},
	journal = {Computers \& Operations Research},
	author = {Cokyasar, Taner and Dong, Wenquan and Jin, Mingzhou and Verbas, İsmail Ömer},
	month = may,
	year = {2021},
	keywords = {Drone delivery, Mixed-integer nonlinear programming, Network optimization, Queueing theory},
	pages = {105177},
}



@article{cokyasar_electric_2023,
	series = {The 14th {International} {Conference} on {Ambient} {Systems}, {Networks} and {Technologies} {Networks} ({ANT}) and {The} 6th {International} {Conference} on {Emerging} {Data} and {Industry} 4.0 ({EDI40})},
	title = {Electric {Vehicle} {Scheduling} {Problem} with {Tour} {Combinations}},
	volume = {220},
	issn = {1877-0509},
	url = {https://www.sciencedirect.com/science/article/pii/S1877050923005884},
	doi = {10.1016/j.procs.2023.03.053},
	abstract = {Vehicle scheduling problem (VSP) has been studied since mid-90s, and yet the emerging electrification technology adoption requires a revisit to the problem since recharging event schedules need to be planned. The single depot electric vehicle scheduling problem (SDEVSP) is NP-hard, and large-scale instances cannot be solved to optimality in reasonable time. Hence, a heuristic solution approach was developed to address the problem. In this approach, we generate short tours that can be served by an electric vehicle (EV) and use a mixed-integer non-linear program to combine tour tuples that maximize EV utilization. The model was demonstrated on a hypothetical case study using a depot of the Chicago Transit Authority.},
	language = {en},
	urldate = {2023-08-01},
	journal = {Procedia Computer Science},
	author = {Cokyasar, Taner and Verbas, Omer and Auld, Joshua},
	month = jan,
	year = {2023},
	keywords = {EV bus scheduling, Electric vehicle scheduling, bus scheduling, bus tour combination, optimization},
	pages = {413--420},
}



@article{dean_multi-stage_2023,
	title = {Multi-stage charging and discharging of electric vehicle fleets},
	volume = {118},
	issn = {1361-9209},
	url = {https://www.sciencedirect.com/science/article/pii/S1361920923000883},
	doi = {10.1016/j.trd.2023.103691},
	abstract = {Fleets of electric vehicles will likely shift electricity demand, and the effect of upstream charging emissions will come from generation sources that are dispatched in response. This study proposes a multi-stage charging and discharging problem to translate low-cost energy transactions into vehicle dispatch decisions. A day-ahead charging optimization problem minimizes electricity purchases and marginal emissions damages, with energy transactions becoming targets in an optimization-based dispatch strategy for an on-demand shared autonomous electric vehicle (SAEV) fleet. The framework was tested for Austin, Texas, using an agent-based simulator. Fleets can schedule charging to lower daily power costs (averaging 15.5\% or \$0.79/day/SAEV) while reducing health damages from generation-related pollution (2.8\% or \$0.43/day/SAEV). Fleet managers can increase profits (\$8 per SAEV per day) by adopting a multi-stage charging and discharging strategy that can serve more passengers per day than price-agnostic dispatch strategies.},
	language = {en},
	urldate = {2023-07-28},
	journal = {Transportation Research Part D: Transport and Environment},
	author = {Dean, Matthew D. and de Souza, Felipe and Gurumurthy, Krishna Murthy and Kockelman, Kara M.},
	month = may,
	year = {2023},
	keywords = {Bidirectional charging, Emissions, Fleet charging, Fleet management, Shared autonomous electric vehicles, Simulation optimization},
	pages = {103691},
}



@inproceedings{salucci_simulation_2023,
	address = {San Diego},
	title = {Simulation of sustainable powerplants for a commuter aircraft using forward-looking dynamic models},
	url = {https://anl.box.com/s/mu5vbbvh5jug5ifj8f8lab6oz1nd9kir},
	author = {Salucci, Francesco and Prabhakar, Nirmit and Karbowski, Dominik},
	month = jun,
	year = {2023},
	keywords = {Aeronomie, Aircraft Systems},
}



@inproceedings{jha_urban_2022,
	title = {Urban {Air} {Mobility}: {A} preliminary case study for {Chicago} and {Atlanta}},
	shorttitle = {Urban {Air} {Mobility}},
	url = {https://anl.box.com/s/qo9o8h96uixu6p6f4g3ztxf7bm81uvwt},
	doi = {10.1109/ITEC53557.2022.9814052},
	abstract = {These This paper reviews two promising Urban Air Mobility electric VTOL designs and develops static performance models for them. Using America Commuter Survey LODES [1] data, a demand model for such a mobility service is also derived. Further, the performance model is then used to compare UAM service to driving to indicate demand and energy expenditure of this new emerging form of mobility.},
	booktitle = {2022 {IEEE} {Transportation} {Electrification} {Conference} \& {Expo} ({ITEC})},
	author = {Jha, Ayush and Prabhakar, Nirmit and Karbowski, Dominik and German, Brian},
	month = jun,
	year = {2022},
	note = {ISSN: 2377-5483},
	keywords = {Aeronomie, Aircraft Systems},
	pages = {300--306},
}



@inproceedings{jesse_rotorcraft_2023,
	address = {San Diego},
	title = {A {Rotorcraft} {Validation} {Framework} using an {EKF}-based {Parameter} {Estimation} {Approach}},
	url = {https://anl.box.com/s/a31nuag03yp0wdd7fwywpvqw3zfmkpsu},
	author = {Jesse, Marvin and Prabhakar, Nirmit and Salucci, Francesco and Karbowski, Dominik},
	month = jun,
	year = {2023},
	keywords = {Aeronomie, Aircraft Systems},
}



@inproceedings{heyerdahl_application_2022,
	title = {Application of {Dynamic} {Simulation} {Tool} {Aeronomie} to {Quadcopter} {Control} {Selection}},
	url = {https://anl.box.com/s/8o18bov3swmpqr7un2y633oxzmdbn04f},
	doi = {10.2514/6.2022-1518},
	abstract = {View Video Presentation: https://doi.org/10.2514/6.2022-1518.vid  -  Aeronomie is a new dynamic simulation tool developed by Argonne National Laboratory to design electric aircraft and evaluate their performance. Aeronomie enables simulations for any aircraft configuration through waypoint-based missions by generating a full-vehicle Simulink model from generic or user-created subsystem models. After running a mission, the software interface lists energy consumption and efficiency for each modeled component of the powerplant and logs all signals from the simulation for custom post-processing. In this paper, we use this capability to compare the energy consumption and general performance of a quadcopter using a proportional-integral-derivative (PID) controller and a linear quadratic regulator (LQR) as the vehicle completes two different missions: a 16-kilometer delivery mission and a figure-eight circuit mission. Compared to the PID-controlled quadcopter, the LQR-controlled quadcopter required 0.75\% more energy and finished 2.4\% quicker in the delivery mission, while it required 0.22\% less energy and finished 1.0\% quicker in the figure-eight mission. This report shows a direct application of Aeronomie and how it allows researchers to conduct in-depth studies on electric and hybrid-electric aircraft.},
	urldate = {2023-03-13},
	booktitle = {{AIAA} {SCITECH} 2022 {Forum}},
	publisher = {American Institute of Aeronautics and Astronautics},
	author = {Heyerdahl, Luke and Prabhakar, Nirmit and Karbowski, Dominik and Sharer, Phillip},
	month = jan,
	year = {2022},
	note = {\_eprint: https://arc.aiaa.org/doi/pdf/10.2514/6.2022-1518},
	keywords = {Aeronomie, Aircraft Systems},
}



@inproceedings{prabhakar_energy_2022,
	title = {Energy {Impacts} of {Electric} {Aircraft}: {An} {Overview}},
	shorttitle = {Energy {Impacts} of {Electric} {Aircraft}},
	url = {https://anl.box.com/s/fs1r5a37g1ghom8cazzk4l7jiqt9rstr},
	doi = {10.2514/6.2022-4119},
	abstract = {View Video Presentation: https://doi.org/10.2514/6.2022-4119.vidCommercial aviation represents approximately 2\% of the global emissions of greenhouse gases, yet presently relies exclusively on fossil fuels as a source of energy. This paper evaluates to what extent an all-electric aircraft can provide an alternative. First, three classes of aircraft are modeled at various timelines in the future: 50/100/150 passenger capacity in 2030/2040/2050. Technology is assumed to improve over time, especially with regards to battery specific energy, resulting in aircraft with increased range. A database of all domestic flights in the US in 2019 is then used to filter and aggregate flights suited for replacement by electric aircraft. In the short term (2030), no viable aircraft can meet the requirements of each class. By 2040, a third of the flights can be done by an all-electric aircraft, but only short ones, as the range does not exceed 500 mi, resulting in 3\% of total passenger-miles. By 2050, owing to the most optimistic technology assumptions, a quarter of all passenger-miles can be flown by electric airplanes. The resulting displaced jet fuel is also calculated.},
	urldate = {2023-03-13},
	booktitle = {{AIAA} {AVIATION} 2022 {Forum}},
	publisher = {American Institute of Aeronautics and Astronautics},
	author = {Prabhakar, Nirmit and Heyerdahl, Luke and Jha, Ayush and Karbowski, Dominik},
	month = jun,
	year = {2022},
	note = {\_eprint: https://arc.aiaa.org/doi/pdf/10.2514/6.2022-4119},
	keywords = {Aircraft Systems},
}
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In order to keep using Mendeley with BibBase past April\n        14th, you need to:\n        <ol>\n          <li>renew the authorization for BibBase on Mendeley, and</li>\n          <li>update the BibBase URL\n            in your page the same way you did when you initially set up\n            this page.\n          </li>\n        </ol>\n      </p>\n\n      <p>\n        <a href=\"http://bibbase.org/cgi-bin/mendeley2/get.py\">\n          <i class=\"fa fa-angle-double-right\"></i>\n          Fix it now</a>\n      </p>\n    </div>\n\n  </div>\n\n\n  <div id=\"bibbase_body\">\n    \n  \n  <div class=\"bibbase_group_whole\" id=\"group_2024\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2024')\"\n      onkeypress=\"toggleGroup('group_2024')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2024</span>\n      <span class=\"bibbase_group_count\">\n        \n        (9)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"jeong-kandaswamy-dudekula-han-karbowski-naber-energysavingsimpactofecodrivingcontrolbasedonpowertraincharacteristicsinconnectedandautomatedvehiclesontrackdemonstrations-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/cshs9q2hzlo56i6c0g81gohf6mkk7qm8\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jeong-kandaswamy-dudekula-han-karbowski-naber-energysavingsimpactofecodrivingcontrolbasedonpowertraincharacteristicsinconnectedandautomatedvehiclesontrackdemonstrations-2024', 'https://anl.box.com/s/cshs9q2hzlo56i6c0g81gohf6mkk7qm8', event);\">\n    Energy Savings Impact of Eco-Driving Control Based on Powertrain Characteristics in Connected and Automated Vehicles On-Track Demonstrations.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jeong, J.; Kandaswamy, E.; Dudekula, A. B.; Han, J.; Karbowski, D.;  and Naber, J.\n</span>\n\n  \n\n</span>\n\n  In <i>SAE Technical Paper</i>, Detroit, MI, USA, April 2024. \n  <span class=\"note\">ISSN: 0148-7191, 2688-3627</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/cshs9q2hzlo56i6c0g81gohf6mkk7qm8\"\n     onclick=\"log_download('jeong-kandaswamy-dudekula-han-karbowski-naber-energysavingsimpactofecodrivingcontrolbasedonpowertraincharacteristicsinconnectedandautomatedvehiclesontrackdemonstrations-2024', 'https://anl.box.com/s/cshs9q2hzlo56i6c0g81gohf6mkk7qm8', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Energy Savings Impact of Eco-Driving Control Based on Powertrain Characteristics in Connected and Automated Vehicles On-Track Demonstrations [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.4271/2024-01-2606\"\n     onclick=\"log_download('jeong-kandaswamy-dudekula-han-karbowski-naber-energysavingsimpactofecodrivingcontrolbasedonpowertraincharacteristicsinconnectedandautomatedvehiclesontrackdemonstrations-2024', 'http://doi.org/10.4271/2024-01-2606', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jeong-kandaswamy-dudekula-han-karbowski-naber-energysavingsimpactofecodrivingcontrolbasedonpowertraincharacteristicsinconnectedandautomatedvehiclesontrackdemonstrations-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jeong-kandaswamy-dudekula-han-karbowski-naber-energysavingsimpactofecodrivingcontrolbasedonpowertraincharacteristicsinconnectedandautomatedvehiclesontrackdemonstrations-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{jeong_energy_2024,\n\taddress = {Detroit, MI, USA},\n\ttitle = {Energy {Savings} {Impact} of {Eco}-{Driving} {Control} {Based} on {Powertrain} {Characteristics} in {Connected} and {Automated} {Vehicles} {On}-{Track} {Demonstrations}},\n\tshorttitle = {Energy {Savings} {Impact} of {Eco}-{Driving} {Control} {Based} on {Powertrain} {Characteristics} in {Connected} and {Automated} {Vehicles}},\n\turl = {https://anl.box.com/s/cshs9q2hzlo56i6c0g81gohf6mkk7qm8},\n\tdoi = {10.4271/2024-01-2606},\n\tabstract = {This research investigates the energy savings achieved through eco-driving controls in connected and automated vehicles (CAVs), with a specific focus on the influence of powertrain characteristics. Eco-driving strategies have emerged as a promising approach to enhance efficiency and reduce environmental impact in CAVs. However, uncertainty remains about how the optimal strategy developed for a specific CAV applies to CAVs with different powertrain technologies, particularly concerning energy aspects. To address this gap, on-track demonstrations were conducted using a Chrysler Pacifica CAV equipped with an internal combustion engine (ICE), advanced sensors, and vehicle-to-infrastructure (V2I) communication systems, compared with another CAV, a previously studied Chevrolet Bolt electric vehicle (EV) equipped with an electric motor and battery. The implemented control is a universal speed planner that solves the eco-driving optimal-control problem within a receding-horizon framework, utilizing V2I communications for signal phase and timing information. The controller calculates accelerator and brake pedal positions using the vehicle’s state and real-time environmental information. Both the Pacifica, target vehicle, and the Bolt, EV, are equipped with a drive-by-wire system. The experiments encompass five road scenarios repeated three times, covering a 3.7-km track with various stop signs, traffic signals, and speed limits. Three control calibrations are employed to represent human-driver-like, non-connected automated, and V2I-connected driving. First and foremost, the results demonstrate functional eco-driving controls with no extreme acceleration or traffic law violations in the Pacifica (ICE vehicle). Energy savings of up to 6\\% without connectivity and up to 22\\% with V2I connectivity are achieved in the ICE vehicle as well. Additionally, a comparison is made between an ICE vehicle and an EV to analyze the energy-saving impacts of eco-driving controls across different powertrain characteristics. In conclusion, this study emphasizes the significance of correlating powertrain design with controls and eco-driving strategies during the development of CAVs.},\n\tlanguage = {English},\n\turldate = {2024-04-23},\n\tbooktitle = {{SAE} {Technical} {Paper}},\n\tauthor = {Jeong, Jongryeol and Kandaswamy, Elangovan and Dudekula, Ahammad Basha and Han, Jihun and Karbowski, Dominik and Naber, Jeffrey},\n\tmonth = apr,\n\tyear = {2024},\n\tdoi = {10.4271/2024-01-2606},\n\tnote = {ISSN: 0148-7191, 2688-3627},\n\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control, XIL Testing},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This research investigates the energy savings achieved through eco-driving controls in connected and automated vehicles (CAVs), with a specific focus on the influence of powertrain characteristics. Eco-driving strategies have emerged as a promising approach to enhance efficiency and reduce environmental impact in CAVs. However, uncertainty remains about how the optimal strategy developed for a specific CAV applies to CAVs with different powertrain technologies, particularly concerning energy aspects. To address this gap, on-track demonstrations were conducted using a Chrysler Pacifica CAV equipped with an internal combustion engine (ICE), advanced sensors, and vehicle-to-infrastructure (V2I) communication systems, compared with another CAV, a previously studied Chevrolet Bolt electric vehicle (EV) equipped with an electric motor and battery. The implemented control is a universal speed planner that solves the eco-driving optimal-control problem within a receding-horizon framework, utilizing V2I communications for signal phase and timing information. The controller calculates accelerator and brake pedal positions using the vehicle’s state and real-time environmental information. Both the Pacifica, target vehicle, and the Bolt, EV, are equipped with a drive-by-wire system. The experiments encompass five road scenarios repeated three times, covering a 3.7-km track with various stop signs, traffic signals, and speed limits. Three control calibrations are employed to represent human-driver-like, non-connected automated, and V2I-connected driving. First and foremost, the results demonstrate functional eco-driving controls with no extreme acceleration or traffic law violations in the Pacifica (ICE vehicle). Energy savings of up to 6% without connectivity and up to 22% with V2I connectivity are achieved in the ICE vehicle as well. Additionally, a comparison is made between an ICE vehicle and an EV to analyze the energy-saving impacts of eco-driving controls across different powertrain characteristics. In conclusion, this study emphasizes the significance of correlating powertrain design with controls and eco-driving strategies during the development of CAVs.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"liang-han-li-karbowski-ma-rousseau-testingcellularvehicletoeverythingcommunicationperformanceandfeasibilityinautomatedvehicles-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/z3an9l7kcc2apymn2w1avols9rhzq3xz\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'liang-han-li-karbowski-ma-rousseau-testingcellularvehicletoeverythingcommunicationperformanceandfeasibilityinautomatedvehicles-2024', 'https://anl.box.com/s/z3an9l7kcc2apymn2w1avols9rhzq3xz', event);\">\n    Testing Cellular Vehicle-to-Everything Communication Performance and Feasibility in Automated Vehicles.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Liang, Z.; Han, J.; Li, X.; Karbowski, D.; Ma, C.;  and Rousseau, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Accepted for presentation at the 35th IEEE Intelligent Vehicles Symposium</i>, June 2024. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/z3an9l7kcc2apymn2w1avols9rhzq3xz\"\n     onclick=\"log_download('liang-han-li-karbowski-ma-rousseau-testingcellularvehicletoeverythingcommunicationperformanceandfeasibilityinautomatedvehicles-2024', 'https://anl.box.com/s/z3an9l7kcc2apymn2w1avols9rhzq3xz', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Testing Cellular Vehicle-to-Everything Communication Performance and Feasibility in Automated Vehicles [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/liang-han-li-karbowski-ma-rousseau-testingcellularvehicletoeverythingcommunicationperformanceandfeasibilityinautomatedvehicles-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('liang-han-li-karbowski-ma-rousseau-testingcellularvehicletoeverythingcommunicationperformanceandfeasibilityinautomatedvehicles-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{liang_testing_2024,\n\ttitle = {Testing {Cellular} {Vehicle}-to-{Everything} {Communication} {Performance} and {Feasibility} in {Automated} {Vehicles}},\n\turl = {https://anl.box.com/s/z3an9l7kcc2apymn2w1avols9rhzq3xz},\n\tbooktitle = {Accepted for presentation at the 35th {IEEE} {Intelligent} {Vehicles} {Symposium}},\n\tauthor = {Liang, Zhaohui and Han, Jihun and Li, Xiaopeng and Karbowski, Dominik and Ma, Chengyuan and Rousseau, Aymeric},\n\tmonth = jun,\n\tyear = {2024},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"han-ard-wang-gupta-vahidi-jia-karbowski-humandriverinteractionwithecospeedadvisorysysteminconnectedvehiclessimulationandexperimentalresults-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Human Driver Interaction with Eco-Speed Advisory System in Connected Vehicles: Simulation and Experimental Results.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Han, J.; Ard, T.; Wang, R.; Gupta, P.; Vahidi, A.; Jia, Y.;  and Karbowski, D.\n</span>\n\n  \n\n</span>\n\n  In <i>Presented at the 103rd Transportation Research Board (TRB) Annual Meeting</i>, January 2024. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/han-ard-wang-gupta-vahidi-jia-karbowski-humandriverinteractionwithecospeedadvisorysysteminconnectedvehiclessimulationandexperimentalresults-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('han-ard-wang-gupta-vahidi-jia-karbowski-humandriverinteractionwithecospeedadvisorysysteminconnectedvehiclessimulationandexperimentalresults-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{han_human_2024,\n\ttitle = {Human {Driver} {Interaction} with {Eco}-{Speed} {Advisory} {System} in {Connected} {Vehicles}: {Simulation} and {Experimental} {Results}},\n\tbooktitle = {Presented at the 103rd {Transportation} {Research} {Board} ({TRB}) {Annual} {Meeting}},\n\tauthor = {Han, Jihun and Ard, Tyler and Wang, Rongyao and Gupta, Prakhar and Vahidi, Ardalan and Jia, Yunyi and Karbowski, Dominik},\n\tmonth = jan,\n\tyear = {2024},\n\tkeywords = {DOE SMART, Ecodriving, RoadRunner},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kim-islam-vijayagopal-impactofadvancedtechnologiesonenergyconsumptionofadvancedelectrifiedmediumdutyvehicles-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/dr1ye4jzxeppi3rin2mt6wcqsp8d4rwh\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kim-islam-vijayagopal-impactofadvancedtechnologiesonenergyconsumptionofadvancedelectrifiedmediumdutyvehicles-2024', 'https://anl.box.com/s/dr1ye4jzxeppi3rin2mt6wcqsp8d4rwh', event);\">\n    Impact of Advanced Technologies on Energy Consumption of Advanced Electrified Medium-duty Vehicles.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kim, N.; Islam, E.;  and Vijayagopal, R.\n</span>\n\n  \n\n</span>\n\n  In <i>SAE Technical Paper 2024-01-2453</i>, April 2024. SAE International\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/dr1ye4jzxeppi3rin2mt6wcqsp8d4rwh\"\n     onclick=\"log_download('kim-islam-vijayagopal-impactofadvancedtechnologiesonenergyconsumptionofadvancedelectrifiedmediumdutyvehicles-2024', 'https://anl.box.com/s/dr1ye4jzxeppi3rin2mt6wcqsp8d4rwh', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Impact of Advanced Technologies on Energy Consumption of Advanced Electrified Medium-duty Vehicles [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.4271/2023-01-0196\"\n     onclick=\"log_download('kim-islam-vijayagopal-impactofadvancedtechnologiesonenergyconsumptionofadvancedelectrifiedmediumdutyvehicles-2024', 'http://doi.org/10.4271/2023-01-0196', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kim-islam-vijayagopal-impactofadvancedtechnologiesonenergyconsumptionofadvancedelectrifiedmediumdutyvehicles-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kim-islam-vijayagopal-impactofadvancedtechnologiesonenergyconsumptionofadvancedelectrifiedmediumdutyvehicles-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{kim_impact_2024,\n\ttitle = {Impact of {Advanced} {Technologies} on {Energy} {Consumption} of {Advanced} {Electrified} {Medium}-duty {Vehicles}},\n\turl = {https://anl.box.com/s/dr1ye4jzxeppi3rin2mt6wcqsp8d4rwh},\n\tdoi = {10.4271/2023-01-0196},\n\tabstract = {The National Highway Traffic Safety Administration (NHTSA) has been leading the responsibilities related to the rulemaking process of Corporate Average Fuel Economy (CAFE) standards. Argonne National Laboratory (ANL), a U.S. Department of Energy (DOE) national laboratory, has developed a full-vehicle simulation tool named Autonomie. Autonomie has become one of the industry standard tools for analyzing vehicle performance, energy consumption and technology effectiveness. Through Inter Agency Agreement (IAA), the DOE Argonne Site Office (ASO), Argonne National Laboratory (ANL), have been tasked in conducting full vehicle simulation to support NHTSA CAFE rulemaking. For CAFE analysis, more than 10 thousand vehicle combinations are simulated across different heavy-duty pickup and vans (HDPUV) classes. This wide range of vehicle combinations consists of different vehicle powertrains combined with various component performances. The purpose of this paper was to study the performance and energy consumption of electrified powertrains simulated for the Notice of Proposed Rulemaking (NPRM) runs that has been published in 2023.},\n\tlanguage = {English},\n\tbooktitle = {{SAE} {Technical} {Paper} 2024-01-2453},\n\tpublisher = {SAE International},\n\tauthor = {Kim, Namdoo and Islam, Ehsan and Vijayagopal, Ram},\n\tmonth = apr,\n\tyear = {2024},\n\tkeywords = {Autonomie, DOE Anlysis, MD vehicle},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The National Highway Traffic Safety Administration (NHTSA) has been leading the responsibilities related to the rulemaking process of Corporate Average Fuel Economy (CAFE) standards. Argonne National Laboratory (ANL), a U.S. Department of Energy (DOE) national laboratory, has developed a full-vehicle simulation tool named Autonomie. Autonomie has become one of the industry standard tools for analyzing vehicle performance, energy consumption and technology effectiveness. Through Inter Agency Agreement (IAA), the DOE Argonne Site Office (ASO), Argonne National Laboratory (ANL), have been tasked in conducting full vehicle simulation to support NHTSA CAFE rulemaking. For CAFE analysis, more than 10 thousand vehicle combinations are simulated across different heavy-duty pickup and vans (HDPUV) classes. This wide range of vehicle combinations consists of different vehicle powertrains combined with various component performances. The purpose of this paper was to study the performance and energy consumption of electrified powertrains simulated for the Notice of Proposed Rulemaking (NPRM) runs that has been published in 2023.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"park-jung-kim-islam-kim-vijayagopal-componentsizingoptimizationbasedontechnologicalassumptionsformediumdutyelectricvehicles-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/po64nu82w3dxaj3fgo3aq0ctjg4wpmu6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'park-jung-kim-islam-kim-vijayagopal-componentsizingoptimizationbasedontechnologicalassumptionsformediumdutyelectricvehicles-2024', 'https://anl.box.com/s/po64nu82w3dxaj3fgo3aq0ctjg4wpmu6', event);\">\n    Component Sizing Optimization Based on Technological Assumptions for Medium-duty Electric Vehicles.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Park, D.; Jung, J.; Kim, N.; Islam, E.; Kim, N.;  and Vijayagopal, R.\n</span>\n\n  \n\n</span>\n\n  In <i>SAE Technical Paper 2024-01-2450</i>, April 2024. SAE International\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/po64nu82w3dxaj3fgo3aq0ctjg4wpmu6\"\n     onclick=\"log_download('park-jung-kim-islam-kim-vijayagopal-componentsizingoptimizationbasedontechnologicalassumptionsformediumdutyelectricvehicles-2024', 'https://anl.box.com/s/po64nu82w3dxaj3fgo3aq0ctjg4wpmu6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Component Sizing Optimization Based on Technological Assumptions for Medium-duty Electric Vehicles [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.4271/2023-01-0196\"\n     onclick=\"log_download('park-jung-kim-islam-kim-vijayagopal-componentsizingoptimizationbasedontechnologicalassumptionsformediumdutyelectricvehicles-2024', 'http://doi.org/10.4271/2023-01-0196', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/park-jung-kim-islam-kim-vijayagopal-componentsizingoptimizationbasedontechnologicalassumptionsformediumdutyelectricvehicles-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('park-jung-kim-islam-kim-vijayagopal-componentsizingoptimizationbasedontechnologicalassumptionsformediumdutyelectricvehicles-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{park_component_2024,\n\ttitle = {Component {Sizing} {Optimization} {Based} on {Technological} {Assumptions} for {Medium}-duty {Electric} {Vehicles}},\n\turl = {https://anl.box.com/s/po64nu82w3dxaj3fgo3aq0ctjg4wpmu6},\n\tdoi = {10.4271/2023-01-0196},\n\tabstract = {In response to the stipulations of the Energy Policy and Conservation Act and the global momentum toward carbon mitigation, there has been a pronounced tightening of fuel economy standards for manufacturers. This stricter regulation is coupled with an accelerated transition to electric vehicles, catalyzed by advances in electrification technology and a decline in battery cost. Improvements in the fuel economy of medium- and heavy-duty vehicles through electrification are particularly noteworthy. Estimating the magnitude of fuel economy improvements that result from technological advances in these vehicles is key to effective policymaking. In this research, we generated vehicle models based on assumptions regarding advanced transportation component technologies and powertrains to estimate potential vehicle-level fuel savings. We also developed a systematic approach to evaluating a vehicle’s fuel economy by calibrating the size of the components to satisfy performance requirements. We used Autonomie, a high-fidelity vehicle modeling and simulation tool developed by Argonne National Laboratory, integrating Pattern Search solvers to optimize component sizing based on our assumptions. Pattern Search, a direct-method numerical optimization algorithm, is widely used in a variety of applications. The method requires extensive evaluation and iteration but provides good optimization performance for the computational cost. This paper presents the potential energy savings for a medium-duty electric vehicle determined using both rule-based and optimized component sizing.},\n\tlanguage = {English},\n\tbooktitle = {{SAE} {Technical} {Paper} 2024-01-2450},\n\tpublisher = {SAE International},\n\tauthor = {Park, Dohyun and Jung, Jaekwang and Kim, Namwook and Islam, Ehsan and Kim, Namdoo and Vijayagopal, Ram},\n\tmonth = apr,\n\tyear = {2024},\n\tkeywords = {Autonomie, DOE Anlysis, MD vehicle},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In response to the stipulations of the Energy Policy and Conservation Act and the global momentum toward carbon mitigation, there has been a pronounced tightening of fuel economy standards for manufacturers. This stricter regulation is coupled with an accelerated transition to electric vehicles, catalyzed by advances in electrification technology and a decline in battery cost. Improvements in the fuel economy of medium- and heavy-duty vehicles through electrification are particularly noteworthy. Estimating the magnitude of fuel economy improvements that result from technological advances in these vehicles is key to effective policymaking. In this research, we generated vehicle models based on assumptions regarding advanced transportation component technologies and powertrains to estimate potential vehicle-level fuel savings. We also developed a systematic approach to evaluating a vehicle’s fuel economy by calibrating the size of the components to satisfy performance requirements. We used Autonomie, a high-fidelity vehicle modeling and simulation tool developed by Argonne National Laboratory, integrating Pattern Search solvers to optimize component sizing based on our assumptions. Pattern Search, a direct-method numerical optimization algorithm, is widely used in a variety of applications. The method requires extensive evaluation and iteration but provides good optimization performance for the computational cost. This paper presents the potential energy savings for a medium-duty electric vehicle determined using both rule-based and optimized component sizing.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lajunen-kivekas-freyermuth-vijayagopal-kim-simulationbasedassessmentofenergyconsumptionofalternativepowertrainsinagriculturaltractors-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/2mxxia0o4zz42314m9zt0hj6mn80ixdn\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lajunen-kivekas-freyermuth-vijayagopal-kim-simulationbasedassessmentofenergyconsumptionofalternativepowertrainsinagriculturaltractors-2024', 'https://anl.box.com/s/2mxxia0o4zz42314m9zt0hj6mn80ixdn', event);\">\n    Simulation-Based Assessment of Energy Consumption of Alternative Powertrains in Agricultural Tractors.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lajunen, A.; Kivekas, K.; Freyermuth, V.; Vijayagopal, R.;  and Kim, N.\n</span>\n\n  \n\n</span>\n\n  <i>World Electric Vehicle Journal</i>.  2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/2mxxia0o4zz42314m9zt0hj6mn80ixdn\"\n     onclick=\"log_download('lajunen-kivekas-freyermuth-vijayagopal-kim-simulationbasedassessmentofenergyconsumptionofalternativepowertrainsinagriculturaltractors-2024', 'https://anl.box.com/s/2mxxia0o4zz42314m9zt0hj6mn80ixdn', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Simulation-Based Assessment of Energy Consumption of Alternative Powertrains in Agricultural Tractors [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.3390/wevj15030086\"\n     onclick=\"log_download('lajunen-kivekas-freyermuth-vijayagopal-kim-simulationbasedassessmentofenergyconsumptionofalternativepowertrainsinagriculturaltractors-2024', 'http://doi.org/https://doi.org/10.3390/wevj15030086', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lajunen-kivekas-freyermuth-vijayagopal-kim-simulationbasedassessmentofenergyconsumptionofalternativepowertrainsinagriculturaltractors-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lajunen-kivekas-freyermuth-vijayagopal-kim-simulationbasedassessmentofenergyconsumptionofalternativepowertrainsinagriculturaltractors-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lajunen_simulation-based_2024,\n\ttitle = {Simulation-{Based} {Assessment} of {Energy} {Consumption} of {Alternative} {Powertrains} in {Agricultural} {Tractors}},\n\turl = {https://anl.box.com/s/2mxxia0o4zz42314m9zt0hj6mn80ixdn},\n\tdoi = {https://doi.org/10.3390/wevj15030086},\n\tabstract = {The objectives of this research were to develop simulation models for agricultural tractors with different powertrain technologies and evaluate the energy consumption in typical agricultural operations. Simulation models were developed for conventional, parallel hybrid electric, series hybrid electric, fuel cell hybrid, and battery electric powertrains. Autonomie vehicle simulation software (version 2022) was used for the simulations and the tractor models were simulated in two tilling cycles and in a road transport cycle with a trailer. The alternative powertrains were configured to have at least the same tractive performance as the conventional, diesel engine-powered tractor model. The simulation results showed that the potential of the parallel and series hybrid powertrains to improve energy efficiency depends heavily on the tractor size and the operating cycle conditions. The fuel cell hybrid and battery electric powertrains have a higher potential to reduce energy consumption and emissions but still have inherent technical challenges for practical operation. The battery-powered electric tractor would require improvements in the storage energy density to have a comparable operational performance in comparison to other powertrains. The fuel cell hybrid tractor already provided an adequate operating performance but the availability of hydrogen and refueling infrastructure could be challenging to resolve in the farming context.},\n\tjournal = {World Electric Vehicle Journal},\n\tauthor = {Lajunen, Antti and Kivekas, Klaus and Freyermuth, Vincent and Vijayagopal, Ram and Kim, Namdoo},\n\tyear = {2024},\n\tkeywords = {Autonomie, Vehicle control, Vehicle systems},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The objectives of this research were to develop simulation models for agricultural tractors with different powertrain technologies and evaluate the energy consumption in typical agricultural operations. Simulation models were developed for conventional, parallel hybrid electric, series hybrid electric, fuel cell hybrid, and battery electric powertrains. Autonomie vehicle simulation software (version 2022) was used for the simulations and the tractor models were simulated in two tilling cycles and in a road transport cycle with a trailer. The alternative powertrains were configured to have at least the same tractive performance as the conventional, diesel engine-powered tractor model. The simulation results showed that the potential of the parallel and series hybrid powertrains to improve energy efficiency depends heavily on the tractor size and the operating cycle conditions. The fuel cell hybrid and battery electric powertrains have a higher potential to reduce energy consumption and emissions but still have inherent technical challenges for practical operation. The battery-powered electric tractor would require improvements in the storage energy density to have a comparable operational performance in comparison to other powertrains. The fuel cell hybrid tractor already provided an adequate operating performance but the availability of hydrogen and refueling infrastructure could be challenging to resolve in the farming context.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"salucci-prabhakar-karbowski-modelingofhybridelectricpowertrainsforsmallcommuteraircrafttoassessperformanceandemissions-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/o1sng8k450is6dp03g4n4n171qws2l6z\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'salucci-prabhakar-karbowski-modelingofhybridelectricpowertrainsforsmallcommuteraircrafttoassessperformanceandemissions-2024', 'https://anl.box.com/s/o1sng8k450is6dp03g4n4n171qws2l6z', event);\">\n    Modeling of hybrid-electric powertrains for small commuter aircraft to assess performance and emissions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Salucci, F.; Prabhakar, N.;  and Karbowski, D. A.\n</span>\n\n  \n\n</span>\n\n  In <i>AIAA SCITECH 2024 Forum</i>, of AIAA SciTech Forum. American Institute of Aeronautics and Astronautics, January 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/o1sng8k450is6dp03g4n4n171qws2l6z\"\n     onclick=\"log_download('salucci-prabhakar-karbowski-modelingofhybridelectricpowertrainsforsmallcommuteraircrafttoassessperformanceandemissions-2024', 'https://anl.box.com/s/o1sng8k450is6dp03g4n4n171qws2l6z', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Modeling of hybrid-electric powertrains for small commuter aircraft to assess performance and emissions [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.2514/6.2024-0280\"\n     onclick=\"log_download('salucci-prabhakar-karbowski-modelingofhybridelectricpowertrainsforsmallcommuteraircrafttoassessperformanceandemissions-2024', 'http://doi.org/10.2514/6.2024-0280', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/salucci-prabhakar-karbowski-modelingofhybridelectricpowertrainsforsmallcommuteraircrafttoassessperformanceandemissions-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('salucci-prabhakar-karbowski-modelingofhybridelectricpowertrainsforsmallcommuteraircrafttoassessperformanceandemissions-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@incollection{salucci_modeling_2024,\n\tseries = {{AIAA} {SciTech} {Forum}},\n\ttitle = {Modeling of hybrid-electric powertrains for small commuter aircraft to assess performance and emissions},\n\turl = {https://anl.box.com/s/o1sng8k450is6dp03g4n4n171qws2l6z},\n\turldate = {2024-02-23},\n\tbooktitle = {{AIAA} {SCITECH} 2024 {Forum}},\n\tpublisher = {American Institute of Aeronautics and Astronautics},\n\tauthor = {Salucci, Francesco and Prabhakar, Nirmit and Karbowski, Dominik A.},\n\tmonth = jan,\n\tyear = {2024},\n\tdoi = {10.2514/6.2024-0280},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"anonymous-equiticity-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.equiticity.org\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'anonymous-equiticity-2024', 'https://www.equiticity.org', event);\">\n    Equiticity.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  \n</span>\n\n  \n\n</span>\n\n   2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.equiticity.org\"\n     onclick=\"log_download('anonymous-equiticity-2024', 'https://www.equiticity.org', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Equiticity [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/anonymous-equiticity-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('anonymous-equiticity-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@misc{noauthor_equiticity_2024,\n\ttitle = {Equiticity},\n\turl = {https://www.equiticity.org},\n\tabstract = {Equiticity is a 501(c)(3) non-profit organization programming and advocating for racial equity and increased mobility in Chicago and beyond.},\n\tlanguage = {en-US},\n\turldate = {2024-02-23},\n\tjournal = {Equiticity},\n\tyear = {2024},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Equiticity is a 501(c)(3) non-profit organization programming and advocating for racial equity and increased mobility in Chicago and beyond.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"paul-gurumurthy-cokyasar-su-auld-jia-integratinghumanfactorsindynamicrideshareassignmentwillingnesstopayfordelay-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Integrating Human Factors in Dynamic Rideshare Assignment: Willingness-To-Pay for Delay.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Paul, J.; Gurumurthy, K. M.; Cokyasar, T.; Su, H.; Auld, J.;  and Jia, Y.\n</span>\n\n  \n\n</span>\n\n  In <i>Submitted for presentation at the 103rd Transportation Research Board (TRB) Annual Meeting</i>, January 2024. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/paul-gurumurthy-cokyasar-su-auld-jia-integratinghumanfactorsindynamicrideshareassignmentwillingnesstopayfordelay-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('paul-gurumurthy-cokyasar-su-auld-jia-integratinghumanfactorsindynamicrideshareassignmentwillingnesstopayfordelay-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{paul_integrating_2024,\n\ttitle = {Integrating {Human} {Factors} in {Dynamic} {Rideshare} {Assignment}: {Willingness}-{To}-{Pay} for {Delay}},\n\tbooktitle = {Submitted for presentation at the 103rd {Transportation} {Research} {Board} ({TRB}) {Annual} {Meeting}},\n\tauthor = {Paul, Joseph and Gurumurthy, Krishna Murthy and Cokyasar, Taner and Su, Haotian and Auld, Joshua and Jia, Yunyi},\n\tmonth = jan,\n\tyear = {2024},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2023\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2023')\"\n      onkeypress=\"toggleGroup('group_2023')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2023</span>\n      <span class=\"bibbase_group_count\">\n        \n        (42)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"prabhakar-salucci-karbowski-estimatingmissionbasedenergyandsystemdynamicsofevtolaircraft-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.app.box.com/s/f0yoegseuxt0yxmgxoy1w3mtdxbozogn\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'prabhakar-salucci-karbowski-estimatingmissionbasedenergyandsystemdynamicsofevtolaircraft-2023', 'https://anl.app.box.com/s/f0yoegseuxt0yxmgxoy1w3mtdxbozogn', event);\">\n    Estimating Mission-Based Energy and System Dynamics of e-VTOL Aircraft.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Prabhakar, N.; Salucci, F.;  and Karbowski, D.\n</span>\n\n  \n\n</span>\n\n  In San Diego, June 2023. AIAA\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.app.box.com/s/f0yoegseuxt0yxmgxoy1w3mtdxbozogn\"\n     onclick=\"log_download('prabhakar-salucci-karbowski-estimatingmissionbasedenergyandsystemdynamicsofevtolaircraft-2023', 'https://anl.app.box.com/s/f0yoegseuxt0yxmgxoy1w3mtdxbozogn', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Estimating Mission-Based Energy and System Dynamics of e-VTOL Aircraft [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/prabhakar-salucci-karbowski-estimatingmissionbasedenergyandsystemdynamicsofevtolaircraft-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('prabhakar-salucci-karbowski-estimatingmissionbasedenergyandsystemdynamicsofevtolaircraft-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{prabhakar_estimating_2023,\n\taddress = {San Diego},\n\ttitle = {Estimating {Mission}-{Based} {Energy} and {System} {Dynamics} of e-{VTOL} {Aircraft}},\n\turl = {https://anl.app.box.com/s/f0yoegseuxt0yxmgxoy1w3mtdxbozogn},\n\tpublisher = {AIAA},\n\tauthor = {Prabhakar, Nirmit and Salucci, Francesco and Karbowski, Dominik},\n\tmonth = jun,\n\tyear = {2023},\n\tkeywords = {Aeronomie, Aircraft Systems},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hyeon-karbowski-rousseau-potentialenergysavingbydifferentcooperativedrivingautomationclassesincarfollowingscenariostextrm-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/og67f5zlawlbg7q4at6zgk12h4xmucom\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hyeon-karbowski-rousseau-potentialenergysavingbydifferentcooperativedrivingautomationclassesincarfollowingscenariostextrm-2023', 'https://anl.box.com/s/og67f5zlawlbg7q4at6zgk12h4xmucom', event);\">\n    Potential Energy Saving by Different Cooperative Driving Automation Classes in Car-Following Scenarios $^{\\textrm{*}}$.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hyeon, E.; Karbowski, D.;  and Rousseau, A.\n</span>\n\n  \n\n</span>\n\n  In <i>2023 American Control Conference (ACC)</i>, pages 1313–1318, San Diego, CA, USA, May 2023. IEEE\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/og67f5zlawlbg7q4at6zgk12h4xmucom\"\n     onclick=\"log_download('hyeon-karbowski-rousseau-potentialenergysavingbydifferentcooperativedrivingautomationclassesincarfollowingscenariostextrm-2023', 'https://anl.box.com/s/og67f5zlawlbg7q4at6zgk12h4xmucom', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Potential Energy Saving by Different Cooperative Driving Automation Classes in Car-Following Scenarios $^{\\textrm{*}}$ [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.23919/ACC55779.2023.10156430\"\n     onclick=\"log_download('hyeon-karbowski-rousseau-potentialenergysavingbydifferentcooperativedrivingautomationclassesincarfollowingscenariostextrm-2023', 'http://doi.org/10.23919/ACC55779.2023.10156430', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hyeon-karbowski-rousseau-potentialenergysavingbydifferentcooperativedrivingautomationclassesincarfollowingscenariostextrm-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hyeon-karbowski-rousseau-potentialenergysavingbydifferentcooperativedrivingautomationclassesincarfollowingscenariostextrm-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{hyeon_potential_2023,\n\taddress = {San Diego, CA, USA},\n\ttitle = {Potential {Energy} {Saving} by {Different} {Cooperative} {Driving} {Automation} {Classes} in {Car}-{Following} {Scenarios} $^{\\textrm{*}}$},\n\tisbn = {9798350328066},\n\turl = {https://anl.box.com/s/og67f5zlawlbg7q4at6zgk12h4xmucom},\n\tdoi = {10.23919/ACC55779.2023.10156430},\n\turldate = {2023-11-01},\n\tbooktitle = {2023 {American} {Control} {Conference} ({ACC})},\n\tpublisher = {IEEE},\n\tauthor = {Hyeon, Eunjeong and Karbowski, Dominik and Rousseau, Aymeric},\n\tmonth = may,\n\tyear = {2023},\n\tpages = {1313--1318},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hyeon-karbowski-rousseau-decisionmakingstrategyusingmultiagentreinforcementlearningforplatoonformationinagreementseekingcooperation-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/39xmwpvw2qe4x8q80n7rt3b32dyv78c6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hyeon-karbowski-rousseau-decisionmakingstrategyusingmultiagentreinforcementlearningforplatoonformationinagreementseekingcooperation-2023', 'https://anl.box.com/s/39xmwpvw2qe4x8q80n7rt3b32dyv78c6', event);\">\n    Decision-Making Strategy Using Multi-Agent Reinforcement Learning for Platoon Formation in Agreement-Seeking Cooperation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hyeon, E.; Karbowski, D.;  and Rousseau, A.\n</span>\n\n  \n\n</span>\n\n  In <i>2023 IEEE Intelligent Vehicles Symposium (IV)</i>, pages 1–6, Anchorage, AK, USA, June 2023. IEEE\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/39xmwpvw2qe4x8q80n7rt3b32dyv78c6\"\n     onclick=\"log_download('hyeon-karbowski-rousseau-decisionmakingstrategyusingmultiagentreinforcementlearningforplatoonformationinagreementseekingcooperation-2023', 'https://anl.box.com/s/39xmwpvw2qe4x8q80n7rt3b32dyv78c6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Decision-Making Strategy Using Multi-Agent Reinforcement Learning for Platoon Formation in Agreement-Seeking Cooperation [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/IV55152.2023.10186813\"\n     onclick=\"log_download('hyeon-karbowski-rousseau-decisionmakingstrategyusingmultiagentreinforcementlearningforplatoonformationinagreementseekingcooperation-2023', 'http://doi.org/10.1109/IV55152.2023.10186813', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hyeon-karbowski-rousseau-decisionmakingstrategyusingmultiagentreinforcementlearningforplatoonformationinagreementseekingcooperation-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hyeon-karbowski-rousseau-decisionmakingstrategyusingmultiagentreinforcementlearningforplatoonformationinagreementseekingcooperation-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{hyeon_decision-making_2023,\n\taddress = {Anchorage, AK, USA},\n\ttitle = {Decision-{Making} {Strategy} {Using} {Multi}-{Agent} {Reinforcement} {Learning} for {Platoon} {Formation} in {Agreement}-{Seeking} {Cooperation}},\n\tisbn = {9798350346916},\n\turl = {https://anl.box.com/s/39xmwpvw2qe4x8q80n7rt3b32dyv78c6},\n\tdoi = {10.1109/IV55152.2023.10186813},\n\turldate = {2023-11-01},\n\tbooktitle = {2023 {IEEE} {Intelligent} {Vehicles} {Symposium} ({IV})},\n\tpublisher = {IEEE},\n\tauthor = {Hyeon, Eunjeong and Karbowski, Dominik and Rousseau, Aymeric},\n\tmonth = jun,\n\tyear = {2023},\n\tpages = {1--6},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1177/03611981221124592\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023', 'https://doi.org/10.1177/03611981221124592', event);\">\n    Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cokyasar, T.; Subramanyam, A.; Larson, J.; Stinson, M.;  and Sahin, O.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>, 2677(2): 190–203. February 2023.\n  <span class=\"note\">Publisher: SAGE Publications Inc</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1177/03611981221124592\"\n     onclick=\"log_download('cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023', 'https://doi.org/10.1177/03611981221124592', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1177/03611981221124592\"\n     onclick=\"log_download('cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023', 'http://doi.org/10.1177/03611981221124592', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cokyasar_time-constrained_2023,\n\ttitle = {Time-{Constrained} {Capacitated} {Vehicle} {Routing} {Problem} in {Urban} {E}-{Commerce} {Delivery}},\n\tvolume = {2677},\n\tissn = {0361-1981},\n\turl = {https://doi.org/10.1177/03611981221124592},\n\tdoi = {10.1177/03611981221124592},\n\tabstract = {Electric vehicle routing problems can be particularly complex when recharging must be performed mid-route. In some applications, such as e-commerce parcel delivery truck routing, however, mid-route recharging may not be necessary because of constraints on vehicle capacities and the maximum allowed time for delivery. In this study, we develop a mixed-integer optimization model that exactly solves such a time-constrained capacitated vehicle routing problem, especially of interest for e-commerce parcel delivery vehicles. We compare our solution method with an existing metaheuristic and carry out exhaustive case studies considering four U.S. cities—Austin, TX; Bloomington, IL; Chicago, IL; and Detroit, MI—and two vehicle types: conventional vehicles and battery electric vehicles (BEVs). In these studies we examine the impact of vehicle capacity, maximum allowed travel time, service time (dwelling time to physically deliver the parcel), and BEV range on system-level performance metrics, including vehicle miles traveled (VMT). We find that the service time followed by the vehicle capacity plays a key role in the performance of our approach. We assume an 80-mi BEV range as a baseline without mid-route recharging. Our results show that the BEV range has a minimal impact on performance metrics because the VMT per vehicle averages around 72 mi. In a case study for shared-economy parcel deliveries, we observe that VMT could be reduced by 38.8\\% in Austin if service providers were to operate their distribution centers jointly.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2024-02-01},\n\tjournal = {Transportation Research Record},\n\tauthor = {Cokyasar, Taner and Subramanyam, Anirudh and Larson, Jeffrey and Stinson, Monique and Sahin, Olcay},\n\tmonth = feb,\n\tyear = {2023},\n\tnote = {Publisher: SAGE Publications Inc},\n\tpages = {190--203},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Electric vehicle routing problems can be particularly complex when recharging must be performed mid-route. In some applications, such as e-commerce parcel delivery truck routing, however, mid-route recharging may not be necessary because of constraints on vehicle capacities and the maximum allowed time for delivery. In this study, we develop a mixed-integer optimization model that exactly solves such a time-constrained capacitated vehicle routing problem, especially of interest for e-commerce parcel delivery vehicles. We compare our solution method with an existing metaheuristic and carry out exhaustive case studies considering four U.S. cities—Austin, TX; Bloomington, IL; Chicago, IL; and Detroit, MI—and two vehicle types: conventional vehicles and battery electric vehicles (BEVs). In these studies we examine the impact of vehicle capacity, maximum allowed travel time, service time (dwelling time to physically deliver the parcel), and BEV range on system-level performance metrics, including vehicle miles traveled (VMT). We find that the service time followed by the vehicle capacity plays a key role in the performance of our approach. We assume an 80-mi BEV range as a baseline without mid-route recharging. Our results show that the BEV range has a minimal impact on performance metrics because the VMT per vehicle averages around 72 mi. In a case study for shared-economy parcel deliveries, we observe that VMT could be reduced by 38.8% in Austin if service providers were to operate their distribution centers jointly.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"uscensusbureau-ecommerceretailsalesasapercentoftotalsales-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://fred.stlouisfed.org/series/ECOMPCTSA\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'uscensusbureau-ecommerceretailsalesasapercentoftotalsales-2023', 'https://fred.stlouisfed.org/series/ECOMPCTSA', event);\">\n    E-Commerce Retail Sales as a Percent of Total Sales.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  U.S. Census Bureau\n</span>\n\n  \n\n</span>\n\n  October 2023.\n  <span class=\"note\">Publisher: FRED, Federal Reserve Bank of St. Louis</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://fred.stlouisfed.org/series/ECOMPCTSA\"\n     onclick=\"log_download('uscensusbureau-ecommerceretailsalesasapercentoftotalsales-2023', 'https://fred.stlouisfed.org/series/ECOMPCTSA', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"E-Commerce Retail Sales as a Percent of Total Sales [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/uscensusbureau-ecommerceretailsalesasapercentoftotalsales-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('uscensusbureau-ecommerceretailsalesasapercentoftotalsales-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@misc{us_census_bureau_e-commerce_2023,\n\ttitle = {E-{Commerce} {Retail} {Sales} as a {Percent} of {Total} {Sales}},\n\tshorttitle = {{ECOMPCTSA}},\n\turl = {https://fred.stlouisfed.org/series/ECOMPCTSA},\n\tabstract = {E-commerce sales are sales of goods and services where  the buyer places an order, or the price and terms  of the sale  are negotiated over an Internet, mobile device  (M-commerce),  extranet,  Electronic  Data  Interchange  (EDI)  network,  electronic  mail,  or  other  comparable  online  system.  Payment  may  or  may  not  be  made online.},\n\turldate = {2024-01-31},\n\tjournal = {FRED, Federal Reserve Bank of St. Louis},\n\tauthor = {{U.S. Census Bureau}},\n\tmonth = oct,\n\tyear = {2023},\n\tnote = {Publisher: FRED, Federal Reserve Bank of St. Louis},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  E-commerce sales are sales of goods and services where the buyer places an order, or the price and terms of the sale are negotiated over an Internet, mobile device (M-commerce), extranet, Electronic Data Interchange (EDI) network, electronic mail, or other comparable online system. Payment may or may not be made online.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"auld-verbas-gurumurthy-desouza-zunigagarcia-cokyasar-sahin-khan-etal-smartmobility20polarisspecificscenarioresultsforthreeregions-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  SMART Mobility 2.0 : POLARIS-Specific Scenario Results for Three Regions.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Auld, J.; Verbas, Ö.; Gurumurthy, K. M.; de Souza, F.; Zuniga-Garcia, N.; Cokyasar, T.; Sahin, O.; Khan, N. A.; Mansour, C.; Cook, J.; Huang, Y.; Ismael, A.; Hui, S.; Magassy, T.; White, G.;  and Rousseau, A.\n</span>\n\n  \n\n</span>\n\n  Technical Report Argonne National Laboratory (ANL), June 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/auld-verbas-gurumurthy-desouza-zunigagarcia-cokyasar-sahin-khan-etal-smartmobility20polarisspecificscenarioresultsforthreeregions-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('auld-verbas-gurumurthy-desouza-zunigagarcia-cokyasar-sahin-khan-etal-smartmobility20polarisspecificscenarioresultsforthreeregions-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@techreport{auld_smart_2023,\n\ttitle = {{SMART} {Mobility} 2.0 : {POLARIS}-{Specific} {Scenario} {Results} for {Three} {Regions}},\n\tinstitution = {Argonne National Laboratory (ANL)},\n\tauthor = {Auld, Joshua and Verbas, Ömer and Gurumurthy, Krishna M. and de Souza, Felipe and Zuniga-Garcia, Natalia and Cokyasar, Taner and Sahin, Olcay and Khan, Nazmul Arefin and Mansour, Charbel and Cook, James and Huang, Yantao and Ismael, Abdelrahman and Hui, Shen and Magassy, Tassio and White, Griffin and Rousseau, Aymeric},\n\tmonth = jun,\n\tyear = {2023},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cokyasar-davatgari-mohammadian-anoptimizationmodelforsolvingtherouteclusteringproblem-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1016/j.procs.2023.03.025\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cokyasar-davatgari-mohammadian-anoptimizationmodelforsolvingtherouteclusteringproblem-2023', 'https://doi.org/10.1016/j.procs.2023.03.025', event);\">\n    An optimization model for solving the route clustering problem.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cokyasar, T.; Davatgari, A.;  and Mohammadian, A. K.\n</span>\n\n  \n\n</span>\n\n  In <i>The 14th international conference on ambient systems, networks and technologies (ANT)</i>, volume 220, pages 180–186,  2023. Procedia Computer Science\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1016/j.procs.2023.03.025\"\n     onclick=\"log_download('cokyasar-davatgari-mohammadian-anoptimizationmodelforsolvingtherouteclusteringproblem-2023', 'https://doi.org/10.1016/j.procs.2023.03.025', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"An optimization model for solving the route clustering problem [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.1016/j.procs.2023.03.025\"\n     onclick=\"log_download('cokyasar-davatgari-mohammadian-anoptimizationmodelforsolvingtherouteclusteringproblem-2023', 'http://doi.org/https://doi.org/10.1016/j.procs.2023.03.025', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cokyasar-davatgari-mohammadian-anoptimizationmodelforsolvingtherouteclusteringproblem-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cokyasar-davatgari-mohammadian-anoptimizationmodelforsolvingtherouteclusteringproblem-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{cokyasar_optimization_2023,\n\ttitle = {An optimization model for solving the route clustering problem},\n\tvolume = {220},\n\turl = {https://doi.org/10.1016/j.procs.2023.03.025},\n\tdoi = {https://doi.org/10.1016/j.procs.2023.03.025},\n\tbooktitle = {The 14th international conference on ambient systems, networks and technologies ({ANT})},\n\tpublisher = {Procedia Computer Science},\n\tauthor = {Cokyasar, Taner and Davatgari, Amir and Mohammadian, Abolfazl Kouros},\n\tyear = {2023},\n\tpages = {180--186},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://journals.sagepub.com/doi/full/10.1177/03611981221124592\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023', 'https://journals.sagepub.com/doi/full/10.1177/03611981221124592', event);\">\n    Time-constrained capacitated vehicle routing problem in urban e-commerce delivery.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cokyasar, T.; Subramanyam, A.; Larson, J.; Stinson, M.;  and Sahin, O.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>, 2677(2): 190–203.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://journals.sagepub.com/doi/full/10.1177/03611981221124592\"\n     onclick=\"log_download('cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023', 'https://journals.sagepub.com/doi/full/10.1177/03611981221124592', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Time-constrained capacitated vehicle routing problem in urban e-commerce delivery [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.1177/03611981221124592\"\n     onclick=\"log_download('cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023', 'http://doi.org/https://doi.org/10.1177/03611981221124592', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cokyasar-subramanyam-larson-stinson-sahin-timeconstrainedcapacitatedvehicleroutingprobleminurbanecommercedelivery-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cokyasar_time-constrained_2023-1,\n\ttitle = {Time-constrained capacitated vehicle routing problem in urban e-commerce delivery},\n\tvolume = {2677},\n\turl = {https://journals.sagepub.com/doi/full/10.1177/03611981221124592},\n\tdoi = {https://doi.org/10.1177/03611981221124592},\n\tnumber = {2},\n\tjournal = {Transportation Research Record},\n\tauthor = {Cokyasar, Taner and Subramanyam, Anirudh and Larson, Jeffrey and Stinson, Monique and Sahin, Olcay},\n\tyear = {2023},\n\tpages = {190--203},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cokyasar-stinson-sahin-prabhakar-karbowski-comparingregionalenergyconsumptionfordirectdroneandtruckdeliveries-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://journals.sagepub.com/doi/full/10.1177/03611981221145137\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cokyasar-stinson-sahin-prabhakar-karbowski-comparingregionalenergyconsumptionfordirectdroneandtruckdeliveries-2023', 'https://journals.sagepub.com/doi/full/10.1177/03611981221145137', event);\">\n    Comparing regional energy consumption for direct drone and truck deliveries.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cokyasar, T.; Stinson, M.; Sahin, O.; Prabhakar, N.;  and Karbowski, D.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>, 2677(2): 310–327.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://journals.sagepub.com/doi/full/10.1177/03611981221145137\"\n     onclick=\"log_download('cokyasar-stinson-sahin-prabhakar-karbowski-comparingregionalenergyconsumptionfordirectdroneandtruckdeliveries-2023', 'https://journals.sagepub.com/doi/full/10.1177/03611981221145137', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Comparing regional energy consumption for direct drone and truck deliveries [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.1177/03611981221145137\"\n     onclick=\"log_download('cokyasar-stinson-sahin-prabhakar-karbowski-comparingregionalenergyconsumptionfordirectdroneandtruckdeliveries-2023', 'http://doi.org/https://doi.org/10.1177/03611981221145137', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cokyasar-stinson-sahin-prabhakar-karbowski-comparingregionalenergyconsumptionfordirectdroneandtruckdeliveries-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cokyasar-stinson-sahin-prabhakar-karbowski-comparingregionalenergyconsumptionfordirectdroneandtruckdeliveries-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cokyasar_comparing_2023,\n\ttitle = {Comparing regional energy consumption for direct drone and truck deliveries},\n\tvolume = {2677},\n\turl = {https://journals.sagepub.com/doi/full/10.1177/03611981221145137},\n\tdoi = {https://doi.org/10.1177/03611981221145137},\n\tnumber = {2},\n\tjournal = {Transportation Research Record},\n\tauthor = {Cokyasar, Taner and Stinson, Monique and Sahin, Olcay and Prabhakar, Nirmit and Karbowski, Dominik},\n\tyear = {2023},\n\tpages = {310--327},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"gupta-wang-ard-han-karbowski-vahidi-jia-anxintheloopxiltestingframeworkforvalidationofconnectedandautonomousvehicles-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/f97c1x90ycgxj66xddgzyjyjt0pix34m\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'gupta-wang-ard-han-karbowski-vahidi-jia-anxintheloopxiltestingframeworkforvalidationofconnectedandautonomousvehicles-2023', 'https://anl.box.com/s/f97c1x90ycgxj66xddgzyjyjt0pix34m', event);\">\n    An X-in-the-Loop (XIL) Testing Framework for Validation of Connected and Autonomous Vehicles.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Gupta, P.; Wang, R.; Ard, T.; Han, J.; Karbowski, D.; Vahidi, A.;  and Jia, Y.\n</span>\n\n  \n\n</span>\n\n  In <i>IEEE International Automated Vehicle Validation Conference 2023</i>, Austin, TX, USA, October 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/f97c1x90ycgxj66xddgzyjyjt0pix34m\"\n     onclick=\"log_download('gupta-wang-ard-han-karbowski-vahidi-jia-anxintheloopxiltestingframeworkforvalidationofconnectedandautonomousvehicles-2023', 'https://anl.box.com/s/f97c1x90ycgxj66xddgzyjyjt0pix34m', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"An X-in-the-Loop (XIL) Testing Framework for Validation of Connected and Autonomous Vehicles [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/gupta-wang-ard-han-karbowski-vahidi-jia-anxintheloopxiltestingframeworkforvalidationofconnectedandautonomousvehicles-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('gupta-wang-ard-han-karbowski-vahidi-jia-anxintheloopxiltestingframeworkforvalidationofconnectedandautonomousvehicles-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{gupta_x---loop_2023,\n\taddress = {Austin, TX, USA},\n\ttitle = {An {X}-in-the-{Loop} ({XIL}) {Testing} {Framework} for {Validation} of {Connected} and {Autonomous} {Vehicles}},\n\turl = {https://anl.box.com/s/f97c1x90ycgxj66xddgzyjyjt0pix34m},\n\tbooktitle = {{IEEE} {International} {Automated} {Vehicle} {Validation} {Conference} 2023},\n\tauthor = {Gupta, Prakhar and Wang, Rongyao and Ard, Tyler and Han, Jihun and Karbowski, Dominik and Vahidi, Ardalan and Jia, Yunyi},\n\tmonth = oct,\n\tyear = {2023},\n\tkeywords = {CAV, Connected and Automated Vehicles, DOE SMART, Vehicle control, XIL Testing},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kavianipour-verbas-rostami-soltanpour-gurumurthy-ghamami-zockaie-deployingfastcharginginfrastructureforelectricvehiclesinurbannetworksanactivitybasedapproach-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Deploying Fast Charging Infrastructure for Electric Vehicles in Urban Networks: An Activity-Based Approach.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kavianipour, M.; Verbas, O.; Rostami, A.; Soltanpour, A.; Gurumurthy, K. M.; Ghamami, M.;  and Zockaie, A.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kavianipour-verbas-rostami-soltanpour-gurumurthy-ghamami-zockaie-deployingfastcharginginfrastructureforelectricvehiclesinurbannetworksanactivitybasedapproach-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kavianipour-verbas-rostami-soltanpour-gurumurthy-ghamami-zockaie-deployingfastcharginginfrastructureforelectricvehiclesinurbannetworksanactivitybasedapproach-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{kavianipour_deploying_2023,\n\ttitle = {Deploying {Fast} {Charging} {Infrastructure} for {Electric} {Vehicles} in {Urban} {Networks}: {An} {Activity}-{Based} {Approach}},\n\tabstract = {This paper explores an important problem under the domain of network modeling, the optimal configuration of charging infrastructure for electric vehicles (EVs) in urban networks considering EV users’ daily activities and charging behavior. This study proposes a charging behavior simulation model considering different initial state of charges (SOC), travel distance, availability of home chargers, and the daily schedule of trips for each traveler. The proposed charging behavior simulation model examines the complete chain of trips for EV users as well as the interdependency of trips traveled by each driver. Then, the problem of finding the optimum charging configuration is formulated as a Mixed-Integer Nonlinear Programming that considers travel time and travel distance dynamics, the interdependency of trips made by each driver, limited range of EVs, remaining battery capacity for recharging, waiting time in queue, and the detour to access a charging station. This problem is solved using a metaheuristic approach for a large-scale case network. A series of examples are presented to demonstrate the model efficacy and explore the impact of energy consumption on the final SOC and the optimum charging infrastructure.},\n\tjournal = {Transportation Research Record},\n\tauthor = {Kavianipour, Mohammadreza and Verbas, Omer and Rostami, Alireza and Soltanpour, Amirali and Gurumurthy, Krishna Murthy and Ghamami, Mehrnaz and Zockaie, Ali},\n\tyear = {2023},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This paper explores an important problem under the domain of network modeling, the optimal configuration of charging infrastructure for electric vehicles (EVs) in urban networks considering EV users’ daily activities and charging behavior. This study proposes a charging behavior simulation model considering different initial state of charges (SOC), travel distance, availability of home chargers, and the daily schedule of trips for each traveler. The proposed charging behavior simulation model examines the complete chain of trips for EV users as well as the interdependency of trips traveled by each driver. Then, the problem of finding the optimum charging configuration is formulated as a Mixed-Integer Nonlinear Programming that considers travel time and travel distance dynamics, the interdependency of trips made by each driver, limited range of EVs, remaining battery capacity for recharging, waiting time in queue, and the detour to access a charging station. This problem is solved using a metaheuristic approach for a large-scale case network. A series of examples are presented to demonstrate the model efficacy and explore the impact of energy consumption on the final SOC and the optimum charging infrastructure.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rostami-verbas-soltanpour-ghafarnezhad-ghamami-zockaie-exploringimpactsofelectricitytariffandpowergridconstraintsonchargingbehaviorandfastcharginginfrastructuredeploymentinurbannetworksanactivitybasedapproach-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Exploring Impacts of Electricity Tariff And Power Grid Constraints On Charging Behavior And Fast Charging Infrastructure Deployment In Urban Networks: An Activity-Based Approach.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rostami, A.; Verbas, O.; Soltanpour, A.; Ghafarnezhad, B.; Ghamami, M.;  and Zockaie, A.\n</span>\n\n  \n\n</span>\n\n  In Washington, D.C., August 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rostami-verbas-soltanpour-ghafarnezhad-ghamami-zockaie-exploringimpactsofelectricitytariffandpowergridconstraintsonchargingbehaviorandfastcharginginfrastructuredeploymentinurbannetworksanactivitybasedapproach-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rostami-verbas-soltanpour-ghafarnezhad-ghamami-zockaie-exploringimpactsofelectricitytariffandpowergridconstraintsonchargingbehaviorandfastcharginginfrastructuredeploymentinurbannetworksanactivitybasedapproach-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{rostami_exploring_2023,\n\taddress = {Washington, D.C.},\n\ttitle = {Exploring {Impacts} of {Electricity} {Tariff} {And} {Power} {Grid} {Constraints} {On} {Charging} {Behavior} {And} {Fast} {Charging} {Infrastructure} {Deployment} {In} {Urban} {Networks}: {An} {Activity}-{Based} {Approach}},\n\tabstract = {In the past decade, electric vehicles (EVs) have experienced a significant surge in popularity as a highly efficient and environmentally friendly mode of transportation. However, EV users struggle with range anxiety and inadequate charging infrastructure. Recent advancements in battery technology and charging equipment have resulted in long-range EVs and fast-charging technology. Despite these advancements, many major cities continue to face a lack of sufficient charging infrastructure to cater to the daily urban trips of EV users. The interaction between the electricity grid demand and supply availability plays an important role to identify the appropriate locations for deployment of such infrastructure. However, most of developed models in the literature neglect this important factor. Thus, this study incorporates the integration of activity based modeling, charging behavior simulation, and charging infrastructure optimization model. The study employs POLARIS, a cutting-edge agent-based transportation model, to realistically capture user activities, trip chains, and resulting traffic patterns within a network. Additionally, a charging behavior simulation is incorporated to accurately estimate the charging demand of EVs based on their trajectories, battery performance, daily activities, and access to home charging. Next, a mathematical optimization model is reformulated to capture impacts of spatial and temporal distribution of electricity rates on the optimal deployment of charging infrastructure. Finally, the proposed framework incorporates the optimal charging station locations and number of chargers into the POLARIS platform to monitor users’ response. The framework is applied to the Chicago regional area network and rigorously tested and analyzed under various EV ownership and charging pricing scenarios.},\n\tauthor = {Rostami, Alireza and Verbas, Omer and Soltanpour, Amirali and Ghafarnezhad, Behdad and Ghamami, Mehrnaz and Zockaie, Ali},\n\tmonth = aug,\n\tyear = {2023},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In the past decade, electric vehicles (EVs) have experienced a significant surge in popularity as a highly efficient and environmentally friendly mode of transportation. However, EV users struggle with range anxiety and inadequate charging infrastructure. Recent advancements in battery technology and charging equipment have resulted in long-range EVs and fast-charging technology. Despite these advancements, many major cities continue to face a lack of sufficient charging infrastructure to cater to the daily urban trips of EV users. The interaction between the electricity grid demand and supply availability plays an important role to identify the appropriate locations for deployment of such infrastructure. However, most of developed models in the literature neglect this important factor. Thus, this study incorporates the integration of activity based modeling, charging behavior simulation, and charging infrastructure optimization model. The study employs POLARIS, a cutting-edge agent-based transportation model, to realistically capture user activities, trip chains, and resulting traffic patterns within a network. Additionally, a charging behavior simulation is incorporated to accurately estimate the charging demand of EVs based on their trajectories, battery performance, daily activities, and access to home charging. Next, a mathematical optimization model is reformulated to capture impacts of spatial and temporal distribution of electricity rates on the optimal deployment of charging infrastructure. Finally, the proposed framework incorporates the optimal charging station locations and number of chargers into the POLARIS platform to monitor users’ response. The framework is applied to the Chicago regional area network and rigorously tested and analyzed under various EV ownership and charging pricing scenarios.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cokyasar-verbas-davatgari-mohammadian-solvingtheelectricvehicleschedulingproblematlargescale-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Solving the Electric Vehicle Scheduling Problem at Large-Scale.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cokyasar, T.; Verbas, O.; Davatgari, A.;  and Mohammadian, A. (.\n</span>\n\n  \n\n</span>\n\n  In Bilbao, Spain, October 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cokyasar-verbas-davatgari-mohammadian-solvingtheelectricvehicleschedulingproblematlargescale-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cokyasar-verbas-davatgari-mohammadian-solvingtheelectricvehicleschedulingproblematlargescale-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{cokyasar_solving_2023,\n\taddress = {Bilbao, Spain},\n\ttitle = {Solving the {Electric} {Vehicle} {Scheduling} {Problem} at {Large}-{Scale}},\n\tabstract = {Transit is the backbone of the transportation sector that not only reduces traffic congestion and environmental impact but also provides equity as an affordable mobility service. Bus electrification has an utmost importance to achieve global net-zero economy goals since buses are the main source of emissions in the transit sector. In this study, we revisit the single depot vehicle scheduling problem (SDVSP) to address the operational constraints electrification brings in. To this end, we follow a two-stage modeling approach: We solve an SDVSP model to form vehicle blocks in the first stage, and chain these blocks considering spatio-temporal and state-of-charge conditions in the second stage. A greedy algorithm heuristic is developed to address the complexity of the block chaining problem. Since transit agencies readily use SDVSP models to form blocks, incorporating a straightforward block chaining heuristic makes the solution approach easy to implement. An analysis conducted using this solution framework found that the electric vehicle range plays a key role in determining the fleet size. A 150-mile vehicle range allows for 98\\% electrification where each diesel vehicle is replaced by 1.6 electric vehicles. This also means a 25\\% increase in non-revenue time.},\n\tauthor = {Cokyasar, Taner and Verbas, Omer and Davatgari, Amir and Mohammadian, A. (Kouros)},\n\tmonth = oct,\n\tyear = {2023},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Transit is the backbone of the transportation sector that not only reduces traffic congestion and environmental impact but also provides equity as an affordable mobility service. Bus electrification has an utmost importance to achieve global net-zero economy goals since buses are the main source of emissions in the transit sector. In this study, we revisit the single depot vehicle scheduling problem (SDVSP) to address the operational constraints electrification brings in. To this end, we follow a two-stage modeling approach: We solve an SDVSP model to form vehicle blocks in the first stage, and chain these blocks considering spatio-temporal and state-of-charge conditions in the second stage. A greedy algorithm heuristic is developed to address the complexity of the block chaining problem. Since transit agencies readily use SDVSP models to form blocks, incorporating a straightforward block chaining heuristic makes the solution approach easy to implement. An analysis conducted using this solution framework found that the electric vehicle range plays a key role in determining the fleet size. A 150-mile vehicle range allows for 98% electrification where each diesel vehicle is replaced by 1.6 electric vehicles. This also means a 25% increase in non-revenue time.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"han-karbowski-jeong-kim-grave-shen-zhang-rousseau-impactofvehicleautomationonenergyconsumption-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/xphlw17wcn67tskl0sg7eh7iz7i3ef9q\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'han-karbowski-jeong-kim-grave-shen-zhang-rousseau-impactofvehicleautomationonenergyconsumption-2023', 'https://anl.box.com/s/xphlw17wcn67tskl0sg7eh7iz7i3ef9q', event);\">\n    Impact of Vehicle Automation on Energy Consumption.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Han, J.; Karbowski, D.; Jeong, J.; Kim, N.; Grave, J.; Shen, D.; Zhang, Y.;  and Rousseau, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Road Vehicle Automation 9</i>, pages 53–70. Springer, Cham,  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/xphlw17wcn67tskl0sg7eh7iz7i3ef9q\"\n     onclick=\"log_download('han-karbowski-jeong-kim-grave-shen-zhang-rousseau-impactofvehicleautomationonenergyconsumption-2023', 'https://anl.box.com/s/xphlw17wcn67tskl0sg7eh7iz7i3ef9q', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Impact of Vehicle Automation on Energy Consumption [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/han-karbowski-jeong-kim-grave-shen-zhang-rousseau-impactofvehicleautomationonenergyconsumption-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('han-karbowski-jeong-kim-grave-shen-zhang-rousseau-impactofvehicleautomationonenergyconsumption-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@incollection{han_impact_2023,\n\ttitle = {Impact of {Vehicle} {Automation} on {Energy} {Consumption}},\n\turl = {https://anl.box.com/s/xphlw17wcn67tskl0sg7eh7iz7i3ef9q},\n\tbooktitle = {Road {Vehicle} {Automation} 9},\n\tpublisher = {Springer, Cham},\n\tauthor = {Han, Jihun and Karbowski, Dominik and Jeong, Jongryeol and Kim, Namdoo and Grave, Julien and Shen, Daliang and Zhang, Yaozhong and Rousseau, Aymeric},\n\tyear = {2023},\n\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\n\tpages = {53--70},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ard-guo-han-jia-vahidi-karbowski-energyefficientdrivinginconnectedcorridorsviaminimumprinciplecontrolvehicleintheloopexperimentalverificationinmixedfleets-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/sk9c669t0190x3rx70v09fwp2zwl8p1g\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ard-guo-han-jia-vahidi-karbowski-energyefficientdrivinginconnectedcorridorsviaminimumprinciplecontrolvehicleintheloopexperimentalverificationinmixedfleets-2023', 'https://anl.box.com/s/sk9c669t0190x3rx70v09fwp2zwl8p1g', event);\">\n    Energy-Efficient Driving in Connected Corridors Via Minimum Principle Control: Vehicle-in-The-Loop Experimental Verification in Mixed Fleets.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ard, T.; Guo, L.; Han, J.; Jia, Y.; Vahidi, A.;  and Karbowski, D.\n</span>\n\n  \n\n</span>\n\n  <i>IEEE Transactions on Intelligent Vehicles</i>, 8(2): 1279 – 1291.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/sk9c669t0190x3rx70v09fwp2zwl8p1g\"\n     onclick=\"log_download('ard-guo-han-jia-vahidi-karbowski-energyefficientdrivinginconnectedcorridorsviaminimumprinciplecontrolvehicleintheloopexperimentalverificationinmixedfleets-2023', 'https://anl.box.com/s/sk9c669t0190x3rx70v09fwp2zwl8p1g', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Energy-Efficient Driving in Connected Corridors Via Minimum Principle Control: Vehicle-in-The-Loop Experimental Verification in Mixed Fleets [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/TIV.2023.3234261\"\n     onclick=\"log_download('ard-guo-han-jia-vahidi-karbowski-energyefficientdrivinginconnectedcorridorsviaminimumprinciplecontrolvehicleintheloopexperimentalverificationinmixedfleets-2023', 'http://doi.org/10.1109/TIV.2023.3234261', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ard-guo-han-jia-vahidi-karbowski-energyefficientdrivinginconnectedcorridorsviaminimumprinciplecontrolvehicleintheloopexperimentalverificationinmixedfleets-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ard-guo-han-jia-vahidi-karbowski-energyefficientdrivinginconnectedcorridorsviaminimumprinciplecontrolvehicleintheloopexperimentalverificationinmixedfleets-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{ard_energy-efficient_2023,\n\ttitle = {Energy-{Efficient} {Driving} in {Connected} {Corridors} {Via} {Minimum} {Principle} {Control}: {Vehicle}-in-{The}-{Loop} {Experimental} {Verification} in {Mixed} {Fleets}},\n\tvolume = {8},\n\turl = {https://anl.box.com/s/sk9c669t0190x3rx70v09fwp2zwl8p1g},\n\tdoi = {10.1109/TIV.2023.3234261},\n\tnumber = {2},\n\tjournal = {IEEE Transactions on Intelligent Vehicles},\n\tauthor = {Ard, Tyler and Guo, Longxiang and Han, Jihun and Jia, Yunyi and Vahidi, Ardalan and Karbowski, Dominik},\n\tyear = {2023},\n\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control, XIL Workflow},\n\tpages = {1279 -- 1291},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"han-shen-jeong-russo-kim-grave-karbowski-rousseau-etal-energyimpactofconnectingmultiplesignalizedintersectionstoenergyefficientdrivingsimulationandexperimentalresults-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/0cozkl9bxr811kbsh3hbvubx93dpwgir\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'han-shen-jeong-russo-kim-grave-karbowski-rousseau-etal-energyimpactofconnectingmultiplesignalizedintersectionstoenergyefficientdrivingsimulationandexperimentalresults-2023', 'https://anl.box.com/s/0cozkl9bxr811kbsh3hbvubx93dpwgir', event);\">\n    Energy Impact of Connecting Multiple Signalized Intersections to Energy-Efficient Driving: Simulation and Experimental Results.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Han, J.; Shen, D.; Jeong, J.; Russo, M. D.; Kim, N.; Grave, J. J.; Karbowski, D.; Rousseau, A.;  and Stutenberg, K.\n</span>\n\n  \n\n</span>\n\n  <i>IEEE Control Systems Letters</i>, 7: 1297 – 1302.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/0cozkl9bxr811kbsh3hbvubx93dpwgir\"\n     onclick=\"log_download('han-shen-jeong-russo-kim-grave-karbowski-rousseau-etal-energyimpactofconnectingmultiplesignalizedintersectionstoenergyefficientdrivingsimulationandexperimentalresults-2023', 'https://anl.box.com/s/0cozkl9bxr811kbsh3hbvubx93dpwgir', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Energy Impact of Connecting Multiple Signalized Intersections to Energy-Efficient Driving: Simulation and Experimental Results [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/LCSYS.2023.3234808\"\n     onclick=\"log_download('han-shen-jeong-russo-kim-grave-karbowski-rousseau-etal-energyimpactofconnectingmultiplesignalizedintersectionstoenergyefficientdrivingsimulationandexperimentalresults-2023', 'http://doi.org/10.1109/LCSYS.2023.3234808', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/han-shen-jeong-russo-kim-grave-karbowski-rousseau-etal-energyimpactofconnectingmultiplesignalizedintersectionstoenergyefficientdrivingsimulationandexperimentalresults-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('han-shen-jeong-russo-kim-grave-karbowski-rousseau-etal-energyimpactofconnectingmultiplesignalizedintersectionstoenergyefficientdrivingsimulationandexperimentalresults-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{han_energy_2023,\n\ttitle = {Energy {Impact} of {Connecting} {Multiple} {Signalized} {Intersections} to {Energy}-{Efficient} {Driving}: {Simulation} and {Experimental} {Results}},\n\tvolume = {7},\n\turl = {https://anl.box.com/s/0cozkl9bxr811kbsh3hbvubx93dpwgir},\n\tdoi = {10.1109/LCSYS.2023.3234808},\n\tabstract = {Vehicle-to-everything (V2X) communication connects vehicles and enables collision-free and energy-efficient driving, such as eco-approaches and departures at signalized intersections. An\nincreased connectivity range can connect multiple signalized intersections and lead to long-term energy-efficient driving using richer information. However, no published studies to date\nprovide insights into the energy saving potential of increasing the connectivity range. In this article, we present a V2X-enabled eco-driving control that can perform multiple traffic signal ecoapproaches, and we systematically design a large-scale simulation study to quantify the energy impact of the increased V2X range for various scenarios. Simulation results show that the V2X-enabled eco-driving control can reduce energy use by up to 40\\%, on average, compared to the baseline, depending on road attributes and vehicle powertrain type. We validate these findings by evaluating the controller through a vehicle-in-theloop (VIL) test platform.},\n\tjournal = {IEEE Control Systems Letters},\n\tauthor = {Han, Jihun and Shen, Daliang and Jeong, Jongryeol and Russo, Miriam Di and Kim, Namdoo and Grave, Julien Jean and Karbowski, Dominik and Rousseau, Aymeric and Stutenberg, Kevin},\n\tyear = {2023},\n\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\n\tpages = {1297 -- 1302},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Vehicle-to-everything (V2X) communication connects vehicles and enables collision-free and energy-efficient driving, such as eco-approaches and departures at signalized intersections. An increased connectivity range can connect multiple signalized intersections and lead to long-term energy-efficient driving using richer information. However, no published studies to date provide insights into the energy saving potential of increasing the connectivity range. In this article, we present a V2X-enabled eco-driving control that can perform multiple traffic signal ecoapproaches, and we systematically design a large-scale simulation study to quantify the energy impact of the increased V2X range for various scenarios. Simulation results show that the V2X-enabled eco-driving control can reduce energy use by up to 40%, on average, compared to the baseline, depending on road attributes and vehicle powertrain type. We validate these findings by evaluating the controller through a vehicle-in-theloop (VIL) test platform.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"aksari-javadinasr-mohammadian-khan-auld-addressingthequalityvaluesatisfactionloyaltyframeworkinpostusebehaviorsofsharedescooterriders-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Addressing The Quality-Value-Satisfaction-Loyalty Framework In Post-Use Behaviors Of Shared E-Scooter Riders.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Aksari, S.; Javadinasr, M.; Mohammadian, A.; Khan, N. A.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>,preparing.  2023.\n  <span class=\"note\">Publisher: SAGE Publications Sage CA: Los Angeles, CA</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/aksari-javadinasr-mohammadian-khan-auld-addressingthequalityvaluesatisfactionloyaltyframeworkinpostusebehaviorsofsharedescooterriders-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('aksari-javadinasr-mohammadian-khan-auld-addressingthequalityvaluesatisfactionloyaltyframeworkinpostusebehaviorsofsharedescooterriders-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{aksari_addressing_2023,\n\ttitle = {Addressing {The} {Quality}-{Value}-{Satisfaction}-{Loyalty} {Framework} {In} {Post}-{Use} {Behaviors} {Of} {Shared} {E}-{Scooter} {Riders}},\n\tjournal = {Transportation Research Record},\n\tauthor = {Aksari, Sadjad and Javadinasr, Mohammadjavad and Mohammadian, Abolfazl and Khan, Nazmul Arefin and Auld, Joshua},\n\tyear = {2023},\n\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\n\tpages = {preparing},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"asgharpour-javadinasr-mohammadian-khan-auld-escootersafetyexploringattitudinalfactorsaffectingriskybehavioramongsharedescooterridersinchicago-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  E-scooter Safety: Exploring Attitudinal Factors Affecting Risky Behavior among Shared E-scooter Riders in Chicago.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Asgharpour, S.; Javadinasr, M.; Mohammadian, A.; Khan, N. A.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>,preparing.  2023.\n  <span class=\"note\">Publisher: SAGE Publications Sage CA: Los Angeles, CA</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/asgharpour-javadinasr-mohammadian-khan-auld-escootersafetyexploringattitudinalfactorsaffectingriskybehavioramongsharedescooterridersinchicago-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('asgharpour-javadinasr-mohammadian-khan-auld-escootersafetyexploringattitudinalfactorsaffectingriskybehavioramongsharedescooterridersinchicago-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{asgharpour_e-scooter_2023,\n\ttitle = {E-scooter {Safety}: {Exploring} {Attitudinal} {Factors} {Affecting} {Risky} {Behavior} among {Shared} {E}-scooter {Riders} in {Chicago}},\n\tjournal = {Transportation Research Record},\n\tauthor = {Asgharpour, Sina and Javadinasr, Mohammadjavad and Mohammadian, Abolfazl and Khan, Nazmul Arefin and Auld, Joshua},\n\tyear = {2023},\n\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\n\tpages = {preparing},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ghasri-rashidi-auld-determinantsofresidentialmobilityanadaptiveretrospectivesurveymethod-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Determinants of residential mobility: an adaptive retrospective survey method.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ghasri, M.; Rashidi, T.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation letters</i>, 15(2): 129–141.  2023.\n  <span class=\"note\">Publisher: Taylor & Francis</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ghasri-rashidi-auld-determinantsofresidentialmobilityanadaptiveretrospectivesurveymethod-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ghasri-rashidi-auld-determinantsofresidentialmobilityanadaptiveretrospectivesurveymethod-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{ghasri_determinants_2023,\n\ttitle = {Determinants of residential mobility: an adaptive retrospective survey method},\n\tvolume = {15},\n\tnumber = {2},\n\tjournal = {Transportation letters},\n\tauthor = {Ghasri, Milad and Rashidi, Taha and Auld, Joshua},\n\tyear = {2023},\n\tnote = {Publisher: Taylor \\&amp; Francis},\n\tpages = {129--141},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bostanara-rashidi-khan-auld-ghasri-grazian-thecodeterminationofhomeandworkplacerelocationdurationsusingsurvivalcopulaanalysis-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  The co-determination of home and workplace relocation durations using survival copula analysis.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bostanara, M.; Rashidi, T. H.; Khan, N. A.; Auld, J.; Ghasri, M.;  and Grazian, C.\n</span>\n\n  \n\n</span>\n\n  <i>Computers, Environment and Urban Systems</i>, 99: 101898.  2023.\n  <span class=\"note\">Publisher: Pergamon</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bostanara-rashidi-khan-auld-ghasri-grazian-thecodeterminationofhomeandworkplacerelocationdurationsusingsurvivalcopulaanalysis-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bostanara-rashidi-khan-auld-ghasri-grazian-thecodeterminationofhomeandworkplacerelocationdurationsusingsurvivalcopulaanalysis-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{bostanara_co-determination_2023,\n\ttitle = {The co-determination of home and workplace relocation durations using survival copula analysis},\n\tvolume = {99},\n\tjournal = {Computers, Environment and Urban Systems},\n\tauthor = {Bostanara, Maryam and Rashidi, Taha Hossein and Khan, Nazmul Arefin and Auld, Joshua and Ghasri, Milad and Grazian, Clara},\n\tyear = {2023},\n\tnote = {Publisher: Pergamon},\n\tpages = {101898},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"enam-auld-rashidi-dopeoplespendtraveltimethewaytheythinktheywouldacomparativestudyofgenericandtripspecifictraveltimeallocationusinghybridmultiplediscretecontinuousmdcframework-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Do people spend travel time the way they think they would? a comparative study of generic and trip-specific travel time allocation using hybrid multiple discrete continuous (MDC) framework.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Enam, A.; Auld, J.;  and Rashidi, T. H\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Letters</i>,1–12.  2023.\n  <span class=\"note\">Publisher: Taylor & Francis</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/enam-auld-rashidi-dopeoplespendtraveltimethewaytheythinktheywouldacomparativestudyofgenericandtripspecifictraveltimeallocationusinghybridmultiplediscretecontinuousmdcframework-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('enam-auld-rashidi-dopeoplespendtraveltimethewaytheythinktheywouldacomparativestudyofgenericandtripspecifictraveltimeallocationusinghybridmultiplediscretecontinuousmdcframework-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{enam_people_2023,\n\ttitle = {Do people spend travel time the way they think they would? a comparative study of generic and trip-specific travel time allocation using hybrid multiple discrete continuous ({MDC}) framework},\n\tjournal = {Transportation Letters},\n\tauthor = {Enam, Annesha and Auld, Joshua and Rashidi, Taha H},\n\tyear = {2023},\n\tnote = {Publisher: Taylor \\&amp; Francis},\n\tpages = {1--12},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jabbari-khan-mackenzie-evidenceformodalinertiainmultimodaltoursanintegratedchoiceandlatentvariablemodelingapproach-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Evidence for Modal Inertia in Multimodal Tours: An Integrated Choice and Latent Variable Modeling Approach.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jabbari, P.; Khan, N. A.;  and MacKenzie, D.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>,03611981231170185.  2023.\n  <span class=\"note\">Publisher: SAGE Publications Sage CA: Los Angeles, CA</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jabbari-khan-mackenzie-evidenceformodalinertiainmultimodaltoursanintegratedchoiceandlatentvariablemodelingapproach-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jabbari-khan-mackenzie-evidenceformodalinertiainmultimodaltoursanintegratedchoiceandlatentvariablemodelingapproach-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{jabbari_evidence_2023,\n\ttitle = {Evidence for {Modal} {Inertia} in {Multimodal} {Tours}: {An} {Integrated} {Choice} and {Latent} {Variable} {Modeling} {Approach}},\n\tjournal = {Transportation Research Record},\n\tauthor = {Jabbari, Parastoo and Khan, Nazmul Arefin and MacKenzie, Don},\n\tyear = {2023},\n\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\n\tpages = {03611981231170185},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"javadiansr-davatgari-rahimi-mohammadi-mohammadian-auld-couplingsharedescootersandpublictransitaspatialandtemporalanalysis-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Coupling shared E-scooters and public transit: a spatial and temporal analysis.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Javadiansr, M.; Davatgari, A.; Rahimi, E.; Mohammadi, M.; Mohammadian, A.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Letters</i>,1–18.  2023.\n  <span class=\"note\">Publisher: Taylor & Francis</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/javadiansr-davatgari-rahimi-mohammadi-mohammadian-auld-couplingsharedescootersandpublictransitaspatialandtemporalanalysis-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('javadiansr-davatgari-rahimi-mohammadi-mohammadian-auld-couplingsharedescootersandpublictransitaspatialandtemporalanalysis-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{javadiansr_coupling_2023,\n\ttitle = {Coupling shared {E}-scooters and public transit: a spatial and temporal analysis},\n\tjournal = {Transportation Letters},\n\tauthor = {Javadiansr, Mohammadjavad and Davatgari, Amir and Rahimi, Ehsan and Mohammadi, Motahare and Mohammadian, Abolfazl and Auld, Joshua},\n\tyear = {2023},\n\tnote = {Publisher: Taylor \\&amp; Francis},\n\tpages = {1--18},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"khan-gurumurthy-auld-exploringtheeffectsofescooteradoptioninaregionacasestudyofchicago-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Exploring The Effects Of E-Scooter Adoption In A Region: A Case Study Of Chicago.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Khan, N. A.; Gurumurthy, K. M.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>,preparing.  2023.\n  <span class=\"note\">Publisher: SAGE Publications Sage CA: Los Angeles, CA</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/khan-gurumurthy-auld-exploringtheeffectsofescooteradoptioninaregionacasestudyofchicago-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('khan-gurumurthy-auld-exploringtheeffectsofescooteradoptioninaregionacasestudyofchicago-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{khan_exploring_2023,\n\ttitle = {Exploring {The} {Effects} {Of} {E}-{Scooter} {Adoption} {In} {A} {Region}: {A} {Case} {Study} {Of} {Chicago}},\n\tjournal = {Transportation Research Record},\n\tauthor = {Khan, Nazmul Arefin and Gurumurthy, Krishna Murthy and Auld, Joshua},\n\tyear = {2023},\n\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\n\tpages = {preparing},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"singh-oshanreh-khan-auld-unveilingtheinfluenceoflatentfactorsonmicromobilitymodechoice-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Unveiling the Influence of Latent Factors on Micromobility Mode Choice.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Singh, R.; Oshanreh, M.; Khan, N. A.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>,preparing.  2023.\n  <span class=\"note\">Publisher: SAGE Publications Sage CA: Los Angeles, CA</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/singh-oshanreh-khan-auld-unveilingtheinfluenceoflatentfactorsonmicromobilitymodechoice-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('singh-oshanreh-khan-auld-unveilingtheinfluenceoflatentfactorsonmicromobilitymodechoice-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{singh_unveiling_2023,\n\ttitle = {Unveiling the {Influence} of {Latent} {Factors} on {Micromobility} {Mode} {Choice}},\n\tjournal = {Transportation Research Record},\n\tauthor = {Singh, Rubina and Oshanreh, Mohammad and Khan, Nazmul Arefin and Auld, Joshua},\n\tyear = {2023},\n\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\n\tpages = {preparing},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"tu-khaloei-khan-mackenzie-effectsoftripattributesonridehailingdrivertriprequestacceptance-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Effects of Trip Attributes on Ridehailing Driver Trip Request Acceptance.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Tu, Y. T.; Khaloei, M.; Khan, N. A.;  and MacKenzie, D.\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Sustainable Transportation</i>, accepted: accepted.  2023.\n  <span class=\"note\">Publisher: Pergamon</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/tu-khaloei-khan-mackenzie-effectsoftripattributesonridehailingdrivertriprequestacceptance-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('tu-khaloei-khan-mackenzie-effectsoftripattributesonridehailingdrivertriprequestacceptance-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{tu_effects_2023,\n\ttitle = {Effects of {Trip} {Attributes} on {Ridehailing} {Driver} {Trip} {Request} {Acceptance}},\n\tvolume = {accepted},\n\tjournal = {International Journal of Sustainable Transportation},\n\tauthor = {Tu, Yuanjie Tukey and Khaloei, Moein and Khan, Nazmul Arefin and MacKenzie, Don},\n\tyear = {2023},\n\tnote = {Publisher: Pergamon},\n\tpages = {accepted},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zunigagarcia-ismael-stinson-afreightassetchoicemodelforagentbasedsimulationmodels-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A freight asset choice model for agent-based simulation models.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zuniga-Garcia, N.; Ismael, A.;  and Stinson, M.\n</span>\n\n  \n\n</span>\n\n  <i>Procedia Computer Science</i>, 220: 704–709.  2023.\n  <span class=\"note\">Publisher: Elsevier</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zunigagarcia-ismael-stinson-afreightassetchoicemodelforagentbasedsimulationmodels-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zunigagarcia-ismael-stinson-afreightassetchoicemodelforagentbasedsimulationmodels-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{zuniga-garcia_freight_2023,\n\ttitle = {A freight asset choice model for agent-based simulation models},\n\tvolume = {220},\n\tjournal = {Procedia Computer Science},\n\tauthor = {Zuniga-Garcia, Natalia and Ismael, Abdelrahman and Stinson, Monique},\n\tyear = {2023},\n\tnote = {Publisher: Elsevier},\n\tpages = {704--709},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"javadinasr-asgharpour-mohammadian-khan-auld-individuallevelanalysisoftheintegrationofescootersandtransit-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Individual-Level Analysis Of The Integration Of E-Scooters And Transit.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Javadinasr, M.; Asgharpour, S.; Mohammadian, A.; Khan, N. A.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>,preparing.  2023.\n  <span class=\"note\">Publisher: SAGE Publications Sage CA: Los Angeles, CA</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/javadinasr-asgharpour-mohammadian-khan-auld-individuallevelanalysisoftheintegrationofescootersandtransit-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('javadinasr-asgharpour-mohammadian-khan-auld-individuallevelanalysisoftheintegrationofescootersandtransit-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{javadinasr_individual-level_2023,\n\ttitle = {Individual-{Level} {Analysis} {Of} {The} {Integration} {Of} {E}-{Scooters} {And} {Transit}},\n\tjournal = {Transportation Research Record},\n\tauthor = {Javadinasr, Mohammadjavad and Asgharpour, Sina and Mohammadian, Abolfazl and Khan, Nazmul Arefin and Auld, Joshua},\n\tyear = {2023},\n\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\n\tpages = {preparing},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"khan-auld-modelinghouseholdlevelpartychoicebehaviorformultipartyactivitiesarandomparameternestedlogitmodelingapproach-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Modeling Household-Level Party Choice Behavior for Multiparty Activities: A Random Parameter Nested Logit Modeling Approach.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Khan, N. A.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Letters</i>,under–review.  2023.\n  <span class=\"note\">Publisher: Taylor & Francis</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/khan-auld-modelinghouseholdlevelpartychoicebehaviorformultipartyactivitiesarandomparameternestedlogitmodelingapproach-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('khan-auld-modelinghouseholdlevelpartychoicebehaviorformultipartyactivitiesarandomparameternestedlogitmodelingapproach-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{khan_modeling_2023,\n\ttitle = {Modeling {Household}-{Level} {Party} {Choice} {Behavior} for {Multiparty} {Activities}: {A} {Random} {Parameter} {Nested} {Logit} {Modeling} {Approach}},\n\tjournal = {Transportation Letters},\n\tauthor = {Khan, Nazmul Arefin and Auld, Joshua},\n\tyear = {2023},\n\tnote = {Publisher: Taylor \\&amp; Francis},\n\tpages = {under--review},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mohammadi-khan-davatgari-mohammadian-auld-investigatinglongdistancetravelpatternsfactorsshapingtripfrequencystarttimepreferencesmodechoiceanddestinationlocationchoices-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Investigating Long-Distance Travel Patterns: Factors Shaping Trip Frequency, Start Time Preferences, Mode Choice And Destination Location Choices.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mohammadi, M.; Khan, N. A.; Davatgari, A.; Mohammadian, A.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>,preparing.  2023.\n  <span class=\"note\">Publisher: SAGE Publications Sage CA: Los Angeles, CA</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mohammadi-khan-davatgari-mohammadian-auld-investigatinglongdistancetravelpatternsfactorsshapingtripfrequencystarttimepreferencesmodechoiceanddestinationlocationchoices-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mohammadi-khan-davatgari-mohammadian-auld-investigatinglongdistancetravelpatternsfactorsshapingtripfrequencystarttimepreferencesmodechoiceanddestinationlocationchoices-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{mohammadi_investigating_2023,\n\ttitle = {Investigating {Long}-{Distance} {Travel} {Patterns}: {Factors} {Shaping} {Trip} {Frequency}, {Start} {Time} {Preferences}, {Mode} {Choice} {And} {Destination} {Location} {Choices}},\n\tjournal = {Transportation Research Record},\n\tauthor = {Mohammadi, Motahare and Khan, Nazmul Arefin and Davatgari, Amir and Mohammadian, Abolfazl and Auld, Joshua},\n\tyear = {2023},\n\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\n\tpages = {preparing},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"oshanreh-singh-khan-auld-tourlevelmodechoicesandtheirimpactoncarownershipdecisions-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Tour-Level Mode Choices and Their Impact on Car Ownership Decisions.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Oshanreh, M.; Singh, R.; Khan, N. A.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>,preparing.  2023.\n  <span class=\"note\">Publisher: SAGE Publications Sage CA: Los Angeles, CA</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/oshanreh-singh-khan-auld-tourlevelmodechoicesandtheirimpactoncarownershipdecisions-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('oshanreh-singh-khan-auld-tourlevelmodechoicesandtheirimpactoncarownershipdecisions-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{oshanreh_tour-level_2023,\n\ttitle = {Tour-{Level} {Mode} {Choices} and {Their} {Impact} on {Car} {Ownership} {Decisions}},\n\tjournal = {Transportation Research Record},\n\tauthor = {Oshanreh, Mohammad and Singh, Rubina and Khan, Nazmul Arefin and Auld, Joshua},\n\tyear = {2023},\n\tnote = {Publisher: SAGE Publications Sage CA: Los Angeles, CA},\n\tpages = {preparing},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"shakeel-khan-ardeshiri-rashidi-dowecareasmuchtopaytostayproductivetravellingonanav-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Do We Care as Much to Pay to Stay Productive Travelling on an AV.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Shakeel, K.; Khan, N. A.; Ardeshiri, A.;  and Rashidi, T.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Part A: Policy and Practice</i>,under–review.  2023.\n  <span class=\"note\">Publisher: Pergamon</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/shakeel-khan-ardeshiri-rashidi-dowecareasmuchtopaytostayproductivetravellingonanav-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('shakeel-khan-ardeshiri-rashidi-dowecareasmuchtopaytostayproductivetravellingonanav-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{shakeel_we_2023,\n\ttitle = {Do {We} {Care} as {Much} to {Pay} to {Stay} {Productive} {Travelling} on an {AV}},\n\tjournal = {Transportation Research Part A: Policy and Practice},\n\tauthor = {Shakeel, Kiran and Khan, Nazmul Arefin and Ardeshiri, Ali and Rashidi, Taha},\n\tyear = {2023},\n\tnote = {Publisher: Pergamon},\n\tpages = {under--review},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"desouza-gurumurthy-verbas-auld-lcabmalagrangiancoordinatesmodelforlargescaleheterogeneoustraffic-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  LC-ABM: A Lagrangian Coordinates Model for Large-Scale Heterogeneous Traffic.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  de Souza, F.; Gurumurthy, K. M.; Verbas, O.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  In Washington, D.C., August 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/desouza-gurumurthy-verbas-auld-lcabmalagrangiancoordinatesmodelforlargescaleheterogeneoustraffic-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('desouza-gurumurthy-verbas-auld-lcabmalagrangiancoordinatesmodelforlargescaleheterogeneoustraffic-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{de_souza_lc-abm_2023,\n\taddress = {Washington, D.C.},\n\ttitle = {{LC}-{ABM}: {A} {Lagrangian} {Coordinates} {Model} for {Large}-{Scale} {Heterogeneous} {Traffic}},\n\tabstract = {Agent-based modeling has become increasingly prevalent in the field of transportation systems simulation as the scenarios around new technologies and policies that such models are applied to become increasingly complex. This increased complexity, in terms of traveler behavior, traffic flow, modal operations, system management, and so on, requires increasingly sensitive and detailed representation of the core components of the simulation, especially as it relates to traffic flow. Many future mobility solutions rely on connectivity, communication, advanced sensing and detailed information flows, which all need to be included, while the simulation also need to remain computationally efficient. In this paper we propose an new Lagrangian-Coordinate Agent-based model (LC-ABM) of traffic flow which combines computational efficiency while capturing vehicle interactions within a link through a reparameterization of the fundamental flow diagram as speed-spacing relation. This model enables and individual vehicle’s position to be tracked throughout each link while still maintaining consistency with the overall fundamental flow properties. This model allows multi-class traffic flow by allowing individual vehicle types to maintain different speed-spacing relationships, and also allows for mid-lane blockages and other bottlenecks by allowing the capacity within the link to vary at specified points. This advantage of the LC-ABM traffic flow model is demonstrated through a study of on-demand pick-up and drop-off trips in Bloomington, IL. We demonstrate the impact of different TNC penetration rate, number of trips and drop-off dwell time on overall network speed, and show that the model is capable of representing this phenomenon.},\n\tauthor = {de Souza, Felipe and Gurumurthy, Krishna M. and Verbas, Omer and Auld, Joshua},\n\tmonth = aug,\n\tyear = {2023},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Agent-based modeling has become increasingly prevalent in the field of transportation systems simulation as the scenarios around new technologies and policies that such models are applied to become increasingly complex. This increased complexity, in terms of traveler behavior, traffic flow, modal operations, system management, and so on, requires increasingly sensitive and detailed representation of the core components of the simulation, especially as it relates to traffic flow. Many future mobility solutions rely on connectivity, communication, advanced sensing and detailed information flows, which all need to be included, while the simulation also need to remain computationally efficient. In this paper we propose an new Lagrangian-Coordinate Agent-based model (LC-ABM) of traffic flow which combines computational efficiency while capturing vehicle interactions within a link through a reparameterization of the fundamental flow diagram as speed-spacing relation. This model enables and individual vehicle’s position to be tracked throughout each link while still maintaining consistency with the overall fundamental flow properties. This model allows multi-class traffic flow by allowing individual vehicle types to maintain different speed-spacing relationships, and also allows for mid-lane blockages and other bottlenecks by allowing the capacity within the link to vary at specified points. This advantage of the LC-ABM traffic flow model is demonstrated through a study of on-demand pick-up and drop-off trips in Bloomington, IL. We demonstrate the impact of different TNC penetration rate, number of trips and drop-off dwell time on overall network speed, and show that the model is capable of representing this phenomenon.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sarma-gurumurthy-hyland-bahk-desouza-verbas-wang-ondemandridepoolingwithwalkinglegsdecompositionapproachfordynamicmatchingandvirtualstopsselection-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  On-demand Ride-pooling with Walking Legs: Decomposition Approach for Dynamic Matching and Virtual Stops Selection.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sarma, N. J.; Gurumurthy, K. M.; Hyland, M.; Bahk, Y.; de Souza, F.; Verbas, O.;  and Wang, Z.\n</span>\n\n  \n\n</span>\n\n  In Washington, D.C., August 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sarma-gurumurthy-hyland-bahk-desouza-verbas-wang-ondemandridepoolingwithwalkinglegsdecompositionapproachfordynamicmatchingandvirtualstopsselection-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sarma-gurumurthy-hyland-bahk-desouza-verbas-wang-ondemandridepoolingwithwalkinglegsdecompositionapproachfordynamicmatchingandvirtualstopsselection-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{sarma_-demand_2023,\n\taddress = {Washington, D.C.},\n\ttitle = {On-demand {Ride}-pooling with {Walking} {Legs}: {Decomposition} {Approach} for {Dynamic} {Matching} and {Virtual} {Stops} {Selection}},\n\tabstract = {Door-to-door (D2D) ride-hailing services currently dominate the mobility-on-demand (MOD) market, but several alternative MOD service types offer operational and societal benefits. Three such MOD services include D2D ride-pooling, corner-to-corner (C2C) ride-hailing, and C2C ride-pooling. C2C service requires travelers to walk a short distance to/from a pickup/drop-off location. The goals of this study are two-fold. First, we compare these four MOD services in terms of operator costs (e.g., vehicle kilometers per request served) and user costs (e.g., assignment time, wait time, walk time, and invehicle time). Second, we develop an effective and scalable decision policy and solution algorithm for operating a C2C ride-pooling service. At each decision epoch, the operator must dynamically assign vehicles to requests, route and schedule vehicles, and assign travelers to pickup and drop-off (PUDO) locations. To address this problem, we propose decomposing the problem into a matching, routing, and scheduling subproblem, and a PUDO locations selection subproblem. We use geographic, network, and vehicle information, as well as optimization techniques to solve the two subproblems. The computational experiments confirm a clear trade-off across the four services in terms of operator costs and user costs. With D2D ridehailing as the baseline, (i) ride-pooling significantly reduces operator costs, while slightly increasing user costs; (ii) C2C slightly reduces operator costs while increasing user costs; (iii) combining ride-pooling and C2C appears to provide additive benefits in terms of operator costs.},\n\tauthor = {Sarma, Navjyoth J.S and Gurumurthy, Krishna M. and Hyland, Michael and Bahk, Younghun and de Souza, Felipe and Verbas, Omer and Wang, Zifan},\n\tmonth = aug,\n\tyear = {2023},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Door-to-door (D2D) ride-hailing services currently dominate the mobility-on-demand (MOD) market, but several alternative MOD service types offer operational and societal benefits. Three such MOD services include D2D ride-pooling, corner-to-corner (C2C) ride-hailing, and C2C ride-pooling. C2C service requires travelers to walk a short distance to/from a pickup/drop-off location. The goals of this study are two-fold. First, we compare these four MOD services in terms of operator costs (e.g., vehicle kilometers per request served) and user costs (e.g., assignment time, wait time, walk time, and invehicle time). Second, we develop an effective and scalable decision policy and solution algorithm for operating a C2C ride-pooling service. At each decision epoch, the operator must dynamically assign vehicles to requests, route and schedule vehicles, and assign travelers to pickup and drop-off (PUDO) locations. To address this problem, we propose decomposing the problem into a matching, routing, and scheduling subproblem, and a PUDO locations selection subproblem. We use geographic, network, and vehicle information, as well as optimization techniques to solve the two subproblems. The computational experiments confirm a clear trade-off across the four services in terms of operator costs and user costs. With D2D ridehailing as the baseline, (i) ride-pooling significantly reduces operator costs, while slightly increasing user costs; (ii) C2C slightly reduces operator costs while increasing user costs; (iii) combining ride-pooling and C2C appears to provide additive benefits in terms of operator costs.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"davatgari-cokyasar-verbas-mohammadian-heuristicapproachesfortheelectricvehicleschedulingproblemlargescaleapplicationwithnextdayoperabilityconstraints-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Heuristic Approaches for The Electric Vehicle Scheduling Problem: Large-Scale Application With Next Day Operability Constraints.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Davatgari, A.; Cokyasar, T.; Verbas, O.;  and Mohammadian, A. (.\n</span>\n\n  \n\n</span>\n\n  In Washington, D.C., August 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/davatgari-cokyasar-verbas-mohammadian-heuristicapproachesfortheelectricvehicleschedulingproblemlargescaleapplicationwithnextdayoperabilityconstraints-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('davatgari-cokyasar-verbas-mohammadian-heuristicapproachesfortheelectricvehicleschedulingproblemlargescaleapplicationwithnextdayoperabilityconstraints-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{davatgari_heuristic_2023,\n\taddress = {Washington, D.C.},\n\ttitle = {Heuristic {Approaches} for {The} {Electric} {Vehicle} {Scheduling} {Problem}: {Large}-{Scale} {Application} {With} {Next} {Day} {Operability} {Constraints}},\n\tabstract = {This study focuses on the single depot electric vehicle scheduling problem (SDEVSP) within the broader context of the vehicle scheduling problem (VSP). By developing an effective scheduling model using mixed-integer linear programming (MILP), we generate bus blocks (tours) that accommodate EVs, ensuring successful completion of each block while considering recharging requirements between blocks and during offhours. Next day operability constraints are also incorporated, allowing for seamless repetition of blocks on subsequent days. The SDEVSP is known to be computationally complex, deriving optimal solutions unattainable for large-scale problems within reasonable timeframes. To address this, we propose a two-step solution approach: first solving the single depot VSP with time constraints (SDVSPTC), and then addressing the block chaining problem (BCP) using the blocks generated in the first step. The BCP focuses on optimizing block combinations to facilitate recharging between consecutive blocks, considering operational constraints.},\n\tauthor = {Davatgari, Amir and Cokyasar, Taner and Verbas, Omer and Mohammadian, Abolfazl (Kouros)},\n\tmonth = aug,\n\tyear = {2023},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This study focuses on the single depot electric vehicle scheduling problem (SDEVSP) within the broader context of the vehicle scheduling problem (VSP). By developing an effective scheduling model using mixed-integer linear programming (MILP), we generate bus blocks (tours) that accommodate EVs, ensuring successful completion of each block while considering recharging requirements between blocks and during offhours. Next day operability constraints are also incorporated, allowing for seamless repetition of blocks on subsequent days. The SDEVSP is known to be computationally complex, deriving optimal solutions unattainable for large-scale problems within reasonable timeframes. To address this, we propose a two-step solution approach: first solving the single depot VSP with time constraints (SDVSPTC), and then addressing the block chaining problem (BCP) using the blocks generated in the first step. The BCP focuses on optimizing block combinations to facilitate recharging between consecutive blocks, considering operational constraints.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kagho-gurumurthy-verbas-auld-frameworkforanalyzingequityconcernsrelatedtomobilityondemand-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Framework For Analyzing Equity-Concerns Related to Mobility On-Demand.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kagho, G. O.; Gurumurthy, K. M.; Verbas, O.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  In Washington, D.C., August 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kagho-gurumurthy-verbas-auld-frameworkforanalyzingequityconcernsrelatedtomobilityondemand-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kagho-gurumurthy-verbas-auld-frameworkforanalyzingequityconcernsrelatedtomobilityondemand-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{kagho_framework_2023,\n\taddress = {Washington, D.C.},\n\ttitle = {Framework {For} {Analyzing} {Equity}-{Concerns} {Related} to {Mobility} {On}-{Demand}},\n\tabstract = {This study looks at the concept of equity in the context of urban transportation, particularly focusing on Mobility on-Demand (MoD) simulations. MoD services, such as ride-hailing and shared autonomous vehicles, have the potential to transform transportation systems, offering new opportunities to enhance equity while reducing transport externalities. However, a comprehensive assessment of the equity impacts resulting from the integration of these services into various transport scenarios is lacking in most MoD simulations. Even though this is essential in informing policy and decision-making, as MoD impacts on equity are complex and depend on various factors, including service availability, affordability, accessibility, and their interaction with existing transportation modes. Therefore, this study presents a framework for evaluating and quantifying equity impact in MoD simulations. Several metrics are defined, such as demographic equity, spatial equity distribution, spatial regression analysis, hotspots and coldspots cluster identification and social inclusion analysis. The effectiveness of this framework is presented using a first-mile-last-mile subsidy case study for two US regions, Austin and Chicago. The findings from these case studies underscored the importance of equityfocused assessments in simulating MoD policy scenarios. And how it is essential to take into account the varying needs of different sociodemographic groups and ensure that the services are distributed in a manner that improves accessibility and affordability for all, particularly the most vulnerable groups.},\n\tauthor = {Kagho, Grace O. and Gurumurthy, Krishna M. and Verbas, Omer and Auld, Joshua},\n\tmonth = aug,\n\tyear = {2023},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This study looks at the concept of equity in the context of urban transportation, particularly focusing on Mobility on-Demand (MoD) simulations. MoD services, such as ride-hailing and shared autonomous vehicles, have the potential to transform transportation systems, offering new opportunities to enhance equity while reducing transport externalities. However, a comprehensive assessment of the equity impacts resulting from the integration of these services into various transport scenarios is lacking in most MoD simulations. Even though this is essential in informing policy and decision-making, as MoD impacts on equity are complex and depend on various factors, including service availability, affordability, accessibility, and their interaction with existing transportation modes. Therefore, this study presents a framework for evaluating and quantifying equity impact in MoD simulations. Several metrics are defined, such as demographic equity, spatial equity distribution, spatial regression analysis, hotspots and coldspots cluster identification and social inclusion analysis. The effectiveness of this framework is presented using a first-mile-last-mile subsidy case study for two US regions, Austin and Chicago. The findings from these case studies underscored the importance of equityfocused assessments in simulating MoD policy scenarios. And how it is essential to take into account the varying needs of different sociodemographic groups and ensure that the services are distributed in a manner that improves accessibility and affordability for all, particularly the most vulnerable groups.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"dean-gurumurthy-zhou-verbas-cokyasar-kockelman-anintegratedtransportationpowersystemmodelforadecarbonizingworld-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  An Integrated Transportation-Power System Model for a Decarbonizing World.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Dean, M. D.; Gurumurthy, K. M.; Zhou, Z.; Verbas, O.; Cokyasar, T.;  and Kockelman, K. M.\n</span>\n\n  \n\n</span>\n\n  In Washington, D.C., August 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/dean-gurumurthy-zhou-verbas-cokyasar-kockelman-anintegratedtransportationpowersystemmodelforadecarbonizingworld-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('dean-gurumurthy-zhou-verbas-cokyasar-kockelman-anintegratedtransportationpowersystemmodelforadecarbonizingworld-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{dean_integrated_2023,\n\taddress = {Washington, D.C.},\n\ttitle = {An {Integrated} {Transportation}-{Power} {System} {Model} for a {Decarbonizing} {World}},\n\tabstract = {The increasing demand for electricity from electric vehicles (EVs) will require new paradigms to guarantee reliable and low-cost electricity. This study evaluated an approach to coupling an agent-based travel demand simulator and an electricity grid model to assess the economic costs of supplying power to meet this additional demand in Chicago. The study found that shifting from personal EVs to a fleet of shared, fully-automated all-electric vehicles (SAEVs) could lower per-mile emissions, congestion, and embodied vehicle and charging infrastructure emissions. The results should compel policymakers to shift the cost of providing power onto commercial customers, like electric ride-hail fleets, through price-indexed electricity prices, which can shift charging to off-peak periods or away from resource-scarce hours.},\n\tauthor = {Dean, Matthew D. and Gurumurthy, Krishna M. and Zhou, Zhi and Verbas, Omer and Cokyasar, Taner and Kockelman, Kara M.},\n\tmonth = aug,\n\tyear = {2023},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The increasing demand for electricity from electric vehicles (EVs) will require new paradigms to guarantee reliable and low-cost electricity. This study evaluated an approach to coupling an agent-based travel demand simulator and an electricity grid model to assess the economic costs of supplying power to meet this additional demand in Chicago. The study found that shifting from personal EVs to a fleet of shared, fully-automated all-electric vehicles (SAEVs) could lower per-mile emissions, congestion, and embodied vehicle and charging infrastructure emissions. The results should compel policymakers to shift the cost of providing power onto commercial customers, like electric ride-hail fleets, through price-indexed electricity prices, which can shift charging to off-peak periods or away from resource-scarce hours.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ng-raymer-mahmassani-verbas-cokyasar-canredesigningpublictransitnetworkwithsharedautonomousmobilityservicesimproveequity-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Can Redesigning Public Transit Network with Shared Autonomous Mobility Services Improve Equity?.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ng, T.; Raymer, M.; Mahmassani, H. S.; Verbas, O.;  and Cokyasar, T.\n</span>\n\n  \n\n</span>\n\n  In Washington, D.C., August 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ng-raymer-mahmassani-verbas-cokyasar-canredesigningpublictransitnetworkwithsharedautonomousmobilityservicesimproveequity-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ng-raymer-mahmassani-verbas-cokyasar-canredesigningpublictransitnetworkwithsharedautonomousmobilityservicesimproveequity-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{ng_can_2023,\n\taddress = {Washington, D.C.},\n\ttitle = {Can {Redesigning} {Public} {Transit} {Network} with {Shared} {Autonomous} {Mobility} {Services} {Improve} {Equity}?},\n\tabstract = {Against the backdrop of inequitable transit access and declining transit ridership in North America, this study examines the potential of transit redesign with shared autonomous mobility services (SAMS) to improve equity on top of general performance. Using the origin-destination travel time in Chicago metropolitan area modeled with multimodal transit design before and after infrastructure investment with SAMS, we investigate multiple metrics including travel time and accessible opportunities score to evaluate horizontal and vertical equity improvement. With constructs including magnitude difference, transit-to-driving ratio, and Lorenz Curve and Gini Index, the transit access gap across zones and between transit users and drivers is found to be reduced. Differential improvement in equity is seen across suburbs and areas of the city. The findings underscore the importance of geospatial and equity considerations in transit design. Measures from multiple dimensions should be employed in equity analysis to understand the benefits associated with transit planning and investment.},\n\tauthor = {Ng, T.M., Max and Raymer, Meredith and Mahmassani, Hani S. and Verbas, Omer and Cokyasar, Taner},\n\tmonth = aug,\n\tyear = {2023},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Against the backdrop of inequitable transit access and declining transit ridership in North America, this study examines the potential of transit redesign with shared autonomous mobility services (SAMS) to improve equity on top of general performance. Using the origin-destination travel time in Chicago metropolitan area modeled with multimodal transit design before and after infrastructure investment with SAMS, we investigate multiple metrics including travel time and accessible opportunities score to evaluate horizontal and vertical equity improvement. With constructs including magnitude difference, transit-to-driving ratio, and Lorenz Curve and Gini Index, the transit access gap across zones and between transit users and drivers is found to be reduced. Differential improvement in equity is seen across suburbs and areas of the city. The findings underscore the importance of geospatial and equity considerations in transit design. Measures from multiple dimensions should be employed in equity analysis to understand the benefits associated with transit planning and investment.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cokyasar-verbas-auld-electricvehicleschedulingproblemwithtourcombinations-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S1877050923005884\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cokyasar-verbas-auld-electricvehicleschedulingproblemwithtourcombinations-2023', 'https://www.sciencedirect.com/science/article/pii/S1877050923005884', event);\">\n    Electric Vehicle Scheduling Problem with Tour Combinations.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cokyasar, T.; Verbas, O.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Procedia Computer Science</i>, 220: 413–420. January 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S1877050923005884\"\n     onclick=\"log_download('cokyasar-verbas-auld-electricvehicleschedulingproblemwithtourcombinations-2023', 'https://www.sciencedirect.com/science/article/pii/S1877050923005884', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Electric Vehicle Scheduling Problem with Tour Combinations [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.procs.2023.03.053\"\n     onclick=\"log_download('cokyasar-verbas-auld-electricvehicleschedulingproblemwithtourcombinations-2023', 'http://doi.org/10.1016/j.procs.2023.03.053', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cokyasar-verbas-auld-electricvehicleschedulingproblemwithtourcombinations-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cokyasar-verbas-auld-electricvehicleschedulingproblemwithtourcombinations-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cokyasar_electric_2023,\n\tseries = {The 14th {International} {Conference} on {Ambient} {Systems}, {Networks} and {Technologies} {Networks} ({ANT}) and {The} 6th {International} {Conference} on {Emerging} {Data} and {Industry} 4.0 ({EDI40})},\n\ttitle = {Electric {Vehicle} {Scheduling} {Problem} with {Tour} {Combinations}},\n\tvolume = {220},\n\tissn = {1877-0509},\n\turl = {https://www.sciencedirect.com/science/article/pii/S1877050923005884},\n\tdoi = {10.1016/j.procs.2023.03.053},\n\tabstract = {Vehicle scheduling problem (VSP) has been studied since mid-90s, and yet the emerging electrification technology adoption requires a revisit to the problem since recharging event schedules need to be planned. The single depot electric vehicle scheduling problem (SDEVSP) is NP-hard, and large-scale instances cannot be solved to optimality in reasonable time. Hence, a heuristic solution approach was developed to address the problem. In this approach, we generate short tours that can be served by an electric vehicle (EV) and use a mixed-integer non-linear program to combine tour tuples that maximize EV utilization. The model was demonstrated on a hypothetical case study using a depot of the Chicago Transit Authority.},\n\tlanguage = {en},\n\turldate = {2023-08-01},\n\tjournal = {Procedia Computer Science},\n\tauthor = {Cokyasar, Taner and Verbas, Omer and Auld, Joshua},\n\tmonth = jan,\n\tyear = {2023},\n\tkeywords = {EV bus scheduling, Electric vehicle scheduling, bus scheduling, bus tour combination, optimization},\n\tpages = {413--420},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Vehicle scheduling problem (VSP) has been studied since mid-90s, and yet the emerging electrification technology adoption requires a revisit to the problem since recharging event schedules need to be planned. The single depot electric vehicle scheduling problem (SDEVSP) is NP-hard, and large-scale instances cannot be solved to optimality in reasonable time. Hence, a heuristic solution approach was developed to address the problem. In this approach, we generate short tours that can be served by an electric vehicle (EV) and use a mixed-integer non-linear program to combine tour tuples that maximize EV utilization. The model was demonstrated on a hypothetical case study using a depot of the Chicago Transit Authority.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"dean-desouza-gurumurthy-kockelman-multistagecharginganddischargingofelectricvehiclefleets-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S1361920923000883\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'dean-desouza-gurumurthy-kockelman-multistagecharginganddischargingofelectricvehiclefleets-2023', 'https://www.sciencedirect.com/science/article/pii/S1361920923000883', event);\">\n    Multi-stage charging and discharging of electric vehicle fleets.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Dean, M. D.; de Souza, F.; Gurumurthy, K. M.;  and Kockelman, K. M.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Part D: Transport and Environment</i>, 118: 103691. May 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S1361920923000883\"\n     onclick=\"log_download('dean-desouza-gurumurthy-kockelman-multistagecharginganddischargingofelectricvehiclefleets-2023', 'https://www.sciencedirect.com/science/article/pii/S1361920923000883', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Multi-stage charging and discharging of electric vehicle fleets [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.trd.2023.103691\"\n     onclick=\"log_download('dean-desouza-gurumurthy-kockelman-multistagecharginganddischargingofelectricvehiclefleets-2023', 'http://doi.org/10.1016/j.trd.2023.103691', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/dean-desouza-gurumurthy-kockelman-multistagecharginganddischargingofelectricvehiclefleets-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('dean-desouza-gurumurthy-kockelman-multistagecharginganddischargingofelectricvehiclefleets-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{dean_multi-stage_2023,\n\ttitle = {Multi-stage charging and discharging of electric vehicle fleets},\n\tvolume = {118},\n\tissn = {1361-9209},\n\turl = {https://www.sciencedirect.com/science/article/pii/S1361920923000883},\n\tdoi = {10.1016/j.trd.2023.103691},\n\tabstract = {Fleets of electric vehicles will likely shift electricity demand, and the effect of upstream charging emissions will come from generation sources that are dispatched in response. This study proposes a multi-stage charging and discharging problem to translate low-cost energy transactions into vehicle dispatch decisions. A day-ahead charging optimization problem minimizes electricity purchases and marginal emissions damages, with energy transactions becoming targets in an optimization-based dispatch strategy for an on-demand shared autonomous electric vehicle (SAEV) fleet. The framework was tested for Austin, Texas, using an agent-based simulator. Fleets can schedule charging to lower daily power costs (averaging 15.5\\% or \\$0.79/day/SAEV) while reducing health damages from generation-related pollution (2.8\\% or \\$0.43/day/SAEV). Fleet managers can increase profits (\\$8 per SAEV per day) by adopting a multi-stage charging and discharging strategy that can serve more passengers per day than price-agnostic dispatch strategies.},\n\tlanguage = {en},\n\turldate = {2023-07-28},\n\tjournal = {Transportation Research Part D: Transport and Environment},\n\tauthor = {Dean, Matthew D. and de Souza, Felipe and Gurumurthy, Krishna Murthy and Kockelman, Kara M.},\n\tmonth = may,\n\tyear = {2023},\n\tkeywords = {Bidirectional charging, Emissions, Fleet charging, Fleet management, Shared autonomous electric vehicles, Simulation optimization},\n\tpages = {103691},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Fleets of electric vehicles will likely shift electricity demand, and the effect of upstream charging emissions will come from generation sources that are dispatched in response. This study proposes a multi-stage charging and discharging problem to translate low-cost energy transactions into vehicle dispatch decisions. A day-ahead charging optimization problem minimizes electricity purchases and marginal emissions damages, with energy transactions becoming targets in an optimization-based dispatch strategy for an on-demand shared autonomous electric vehicle (SAEV) fleet. The framework was tested for Austin, Texas, using an agent-based simulator. Fleets can schedule charging to lower daily power costs (averaging 15.5% or $0.79/day/SAEV) while reducing health damages from generation-related pollution (2.8% or $0.43/day/SAEV). Fleet managers can increase profits ($8 per SAEV per day) by adopting a multi-stage charging and discharging strategy that can serve more passengers per day than price-agnostic dispatch strategies.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"salucci-prabhakar-karbowski-simulationofsustainablepowerplantsforacommuteraircraftusingforwardlookingdynamicmodels-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/mu5vbbvh5jug5ifj8f8lab6oz1nd9kir\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'salucci-prabhakar-karbowski-simulationofsustainablepowerplantsforacommuteraircraftusingforwardlookingdynamicmodels-2023', 'https://anl.box.com/s/mu5vbbvh5jug5ifj8f8lab6oz1nd9kir', event);\">\n    Simulation of sustainable powerplants for a commuter aircraft using forward-looking dynamic models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Salucci, F.; Prabhakar, N.;  and Karbowski, D.\n</span>\n\n  \n\n</span>\n\n  In San Diego, June 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/mu5vbbvh5jug5ifj8f8lab6oz1nd9kir\"\n     onclick=\"log_download('salucci-prabhakar-karbowski-simulationofsustainablepowerplantsforacommuteraircraftusingforwardlookingdynamicmodels-2023', 'https://anl.box.com/s/mu5vbbvh5jug5ifj8f8lab6oz1nd9kir', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Simulation of sustainable powerplants for a commuter aircraft using forward-looking dynamic models [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/salucci-prabhakar-karbowski-simulationofsustainablepowerplantsforacommuteraircraftusingforwardlookingdynamicmodels-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('salucci-prabhakar-karbowski-simulationofsustainablepowerplantsforacommuteraircraftusingforwardlookingdynamicmodels-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{salucci_simulation_2023,\n\taddress = {San Diego},\n\ttitle = {Simulation of sustainable powerplants for a commuter aircraft using forward-looking dynamic models},\n\turl = {https://anl.box.com/s/mu5vbbvh5jug5ifj8f8lab6oz1nd9kir},\n\tauthor = {Salucci, Francesco and Prabhakar, Nirmit and Karbowski, Dominik},\n\tmonth = jun,\n\tyear = {2023},\n\tkeywords = {Aeronomie, Aircraft Systems},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jesse-prabhakar-salucci-karbowski-arotorcraftvalidationframeworkusinganekfbasedparameterestimationapproach-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/a31nuag03yp0wdd7fwywpvqw3zfmkpsu\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jesse-prabhakar-salucci-karbowski-arotorcraftvalidationframeworkusinganekfbasedparameterestimationapproach-2023', 'https://anl.box.com/s/a31nuag03yp0wdd7fwywpvqw3zfmkpsu', event);\">\n    A Rotorcraft Validation Framework using an EKF-based Parameter Estimation Approach.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jesse, M.; Prabhakar, N.; Salucci, F.;  and Karbowski, D.\n</span>\n\n  \n\n</span>\n\n  In San Diego, June 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/a31nuag03yp0wdd7fwywpvqw3zfmkpsu\"\n     onclick=\"log_download('jesse-prabhakar-salucci-karbowski-arotorcraftvalidationframeworkusinganekfbasedparameterestimationapproach-2023', 'https://anl.box.com/s/a31nuag03yp0wdd7fwywpvqw3zfmkpsu', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Rotorcraft Validation Framework using an EKF-based Parameter Estimation Approach [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jesse-prabhakar-salucci-karbowski-arotorcraftvalidationframeworkusinganekfbasedparameterestimationapproach-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jesse-prabhakar-salucci-karbowski-arotorcraftvalidationframeworkusinganekfbasedparameterestimationapproach-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{jesse_rotorcraft_2023,\n\taddress = {San Diego},\n\ttitle = {A {Rotorcraft} {Validation} {Framework} using an {EKF}-based {Parameter} {Estimation} {Approach}},\n\turl = {https://anl.box.com/s/a31nuag03yp0wdd7fwywpvqw3zfmkpsu},\n\tauthor = {Jesse, Marvin and Prabhakar, Nirmit and Salucci, Francesco and Karbowski, Dominik},\n\tmonth = jun,\n\tyear = {2023},\n\tkeywords = {Aeronomie, Aircraft Systems},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2022\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2022')\"\n      onkeypress=\"toggleGroup('group_2022')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2022</span>\n      <span class=\"bibbase_group_count\">\n        \n        (13)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"hyeon-han-shen-karbowski-kim-rousseau-potentialenergysavingofv2vconnectedvehiclesinlargescaletraffic-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/ax45bc5dz01h9gxtu84ewkhe03y7mc8i\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hyeon-han-shen-karbowski-kim-rousseau-potentialenergysavingofv2vconnectedvehiclesinlargescaletraffic-2022', 'https://anl.box.com/s/ax45bc5dz01h9gxtu84ewkhe03y7mc8i', event);\">\n    Potential Energy Saving of V2V-Connected Vehicles in Large-Scale Traffic.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hyeon, E.; Han, J.; Shen, D.; Karbowski, D.; Kim, N.;  and Rousseau, A.\n</span>\n\n  \n\n</span>\n\n  In <i>10th IFAC International Symposium on Advances in Automotive Control (in review)</i>, Columbus, OH, USA, August 2022. \n  <span class=\"note\">ANL</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/ax45bc5dz01h9gxtu84ewkhe03y7mc8i\"\n     onclick=\"log_download('hyeon-han-shen-karbowski-kim-rousseau-potentialenergysavingofv2vconnectedvehiclesinlargescaletraffic-2022', 'https://anl.box.com/s/ax45bc5dz01h9gxtu84ewkhe03y7mc8i', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Potential Energy Saving of V2V-Connected Vehicles in Large-Scale Traffic [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.1016/j.ifacol.2022.10.265\"\n     onclick=\"log_download('hyeon-han-shen-karbowski-kim-rousseau-potentialenergysavingofv2vconnectedvehiclesinlargescaletraffic-2022', 'http://doi.org/https://doi.org/10.1016/j.ifacol.2022.10.265', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hyeon-han-shen-karbowski-kim-rousseau-potentialenergysavingofv2vconnectedvehiclesinlargescaletraffic-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hyeon-han-shen-karbowski-kim-rousseau-potentialenergysavingofv2vconnectedvehiclesinlargescaletraffic-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{hyeon_potential_2022,\n\taddress = {Columbus, OH, USA},\n\ttitle = {Potential {Energy} {Saving} of {V2V}-{Connected} {Vehicles} in {Large}-{Scale} {Traffic}},\n\turl = {https://anl.box.com/s/ax45bc5dz01h9gxtu84ewkhe03y7mc8i},\n\tdoi = {https://doi.org/10.1016/j.ifacol.2022.10.265},\n\tabstract = {In realistic car-following eco-driving scenarios, preceding vehicles’ presence and behavior can significantly impact vehicle energy efficiency. Increasing vehicle-to-vehicle (V2V) connectivity, more accurate prediction of the preceding vehicle’s future trajectory becomes possible, bringing further energy savings. However, prediction accuracy and the corresponding energy savings depend on the specific scenario. This paper identifies factors impacting prediction accuracy and investigates how these impacts lead to energy savings for the eco-driving control system that we focus on. First, we integrate a trajectory predictor using V2V information with an eco-driving controller. Then, we design a systematic parameter study that generates extensive downstream traffic environments with various V2V connectivity ranges, and we conduct initial investigations into the relationship between the influential factors and eco-driving behaviors. Finally, we validate our findings from the parameter study by evaluating a V2V-enabled ecodriving control system using a multi-vehicle simulation tool with high-fidelity powertrain models. Results show that a longer-term prediction horizon, equivalent to a look-ahead horizon for eco-driving control, saves more energy. Furthermore, increasing the prediction accuracy with sufficient V2V information from more V2V-connected vehicles enables near-optimal energy savings for various car-following behaviors in downstream traffic.},\n\tbooktitle = {10th {IFAC} {International} {Symposium} on {Advances} in {Automotive} {Control} (in review)},\n\tauthor = {Hyeon, Eunjeong and Han, Jihun and Shen, Daliang and Karbowski, Dominik and Kim, Namwook and Rousseau, Aymeric},\n\tmonth = aug,\n\tyear = {2022},\n\tnote = {ANL},\n\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In realistic car-following eco-driving scenarios, preceding vehicles’ presence and behavior can significantly impact vehicle energy efficiency. Increasing vehicle-to-vehicle (V2V) connectivity, more accurate prediction of the preceding vehicle’s future trajectory becomes possible, bringing further energy savings. However, prediction accuracy and the corresponding energy savings depend on the specific scenario. This paper identifies factors impacting prediction accuracy and investigates how these impacts lead to energy savings for the eco-driving control system that we focus on. First, we integrate a trajectory predictor using V2V information with an eco-driving controller. Then, we design a systematic parameter study that generates extensive downstream traffic environments with various V2V connectivity ranges, and we conduct initial investigations into the relationship between the influential factors and eco-driving behaviors. Finally, we validate our findings from the parameter study by evaluating a V2V-enabled ecodriving control system using a multi-vehicle simulation tool with high-fidelity powertrain models. Results show that a longer-term prediction horizon, equivalent to a look-ahead horizon for eco-driving control, saves more energy. Furthermore, increasing the prediction accuracy with sufficient V2V information from more V2V-connected vehicles enables near-optimal energy savings for various car-following behaviors in downstream traffic.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"han-karbowski-rousseau-analyticalanticipativeoptimaldrivabilitycarfollowingmodel-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/0vpi4f5hj4ouiostw6tyzaymib26fmm4\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'han-karbowski-rousseau-analyticalanticipativeoptimaldrivabilitycarfollowingmodel-2022', 'https://anl.box.com/s/0vpi4f5hj4ouiostw6tyzaymib26fmm4', event);\">\n    Analytical Anticipative Optimal Drivability Car-Following Model.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Han, J.; Karbowski, D.;  and Rousseau, A.\n</span>\n\n  \n\n</span>\n\n  In <i>2022 American Control Conference (ACC)</i>, Atlanta, GA, USA, June 2022. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/0vpi4f5hj4ouiostw6tyzaymib26fmm4\"\n     onclick=\"log_download('han-karbowski-rousseau-analyticalanticipativeoptimaldrivabilitycarfollowingmodel-2022', 'https://anl.box.com/s/0vpi4f5hj4ouiostw6tyzaymib26fmm4', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Analytical Anticipative Optimal Drivability Car-Following Model [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.23919/ACC53348.2022.9867588\"\n     onclick=\"log_download('han-karbowski-rousseau-analyticalanticipativeoptimaldrivabilitycarfollowingmodel-2022', 'http://doi.org/https://doi.org/10.23919/ACC53348.2022.9867588', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/han-karbowski-rousseau-analyticalanticipativeoptimaldrivabilitycarfollowingmodel-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('han-karbowski-rousseau-analyticalanticipativeoptimaldrivabilitycarfollowingmodel-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{han_analytical_2022,\n\taddress = {Atlanta, GA, USA},\n\ttitle = {Analytical {Anticipative} {Optimal} {Drivability} {Car}-{Following} {Model}},\n\turl = {https://anl.box.com/s/0vpi4f5hj4ouiostw6tyzaymib26fmm4},\n\tdoi = {https://doi.org/10.23919/ACC53348.2022.9867588},\n\tabstract = {Replicating a human car-following behavior becomes more important for developing either a human driver model or human-like adaptive cruise control. The human driver model is especially a key element in simulation tools used for the development and evaluation of connected and automated vehicle driving controls. In this paper, we propose an analytical\nanticipative optimal drivability car-following model that can capture a dynamic car-following behavior while maximizing driving comfort without collisions in a computational-efficient\nway. We formulate drivability-oriented car-following as an optimal control problem, and then reformulate it to a bi-level optimization problem in order to facilitate analytical treatment.\nBy employing optimal control theory, we can transform the bi-level optimization problem into a nonlinear programming problem and derive its analytical solutions. To validate the\nproposed model, we post-processed and used Next Generation SIMulation (NGSIM) data. Results show that the proposed parametric model can generate stable car-following behaviors and its vehicle state trajectories are well matched with NGSIM data, thereby significantly improving root-mean-square error of\nspeed and distance gap compared to the existing car-following model.},\n\tbooktitle = {2022 {American} {Control} {Conference} ({ACC})},\n\tauthor = {Han, Jihun and Karbowski, Dominik and Rousseau, Aymeric},\n\tmonth = jun,\n\tyear = {2022},\n\tkeywords = {DOE SMART, Driver Modeling, RoadRunner},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Replicating a human car-following behavior becomes more important for developing either a human driver model or human-like adaptive cruise control. The human driver model is especially a key element in simulation tools used for the development and evaluation of connected and automated vehicle driving controls. In this paper, we propose an analytical anticipative optimal drivability car-following model that can capture a dynamic car-following behavior while maximizing driving comfort without collisions in a computational-efficient way. We formulate drivability-oriented car-following as an optimal control problem, and then reformulate it to a bi-level optimization problem in order to facilitate analytical treatment. By employing optimal control theory, we can transform the bi-level optimization problem into a nonlinear programming problem and derive its analytical solutions. To validate the proposed model, we post-processed and used Next Generation SIMulation (NGSIM) data. Results show that the proposed parametric model can generate stable car-following behaviors and its vehicle state trajectories are well matched with NGSIM data, thereby significantly improving root-mean-square error of speed and distance gap compared to the existing car-following model.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"gupta-shen-karbowski-rousseau-koopmanmodelpredictivecontrolforecodrivingofautomatedvehicles-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/767hekd8hze41g96eaj3eqcea1cr5jzk\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'gupta-shen-karbowski-rousseau-koopmanmodelpredictivecontrolforecodrivingofautomatedvehicles-2022', 'https://anl.box.com/s/767hekd8hze41g96eaj3eqcea1cr5jzk', event);\">\n    Koopman Model Predictive Control for Eco-Driving of Automated Vehicles.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Gupta, S.; Shen, D.; Karbowski, D.;  and Rousseau, A.\n</span>\n\n  \n\n</span>\n\n  In <i>2022 American Control Conference (ACC)</i>, Atlanta, GA, USA, June 2022. IEEE\n  <span class=\"note\">ANL</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/767hekd8hze41g96eaj3eqcea1cr5jzk\"\n     onclick=\"log_download('gupta-shen-karbowski-rousseau-koopmanmodelpredictivecontrolforecodrivingofautomatedvehicles-2022', 'https://anl.box.com/s/767hekd8hze41g96eaj3eqcea1cr5jzk', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Koopman Model Predictive Control for Eco-Driving of Automated Vehicles [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.23919/ACC53348.2022.9867636\"\n     onclick=\"log_download('gupta-shen-karbowski-rousseau-koopmanmodelpredictivecontrolforecodrivingofautomatedvehicles-2022', 'http://doi.org/https://doi.org/10.23919/ACC53348.2022.9867636', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/gupta-shen-karbowski-rousseau-koopmanmodelpredictivecontrolforecodrivingofautomatedvehicles-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>6 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('gupta-shen-karbowski-rousseau-koopmanmodelpredictivecontrolforecodrivingofautomatedvehicles-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{gupta_koopman_2022,\n\taddress = {Atlanta, GA, USA},\n\ttitle = {Koopman {Model} {Predictive} {Control} for {Eco}-{Driving} of {Automated} {Vehicles}},\n\turl = {https://anl.box.com/s/767hekd8hze41g96eaj3eqcea1cr5jzk},\n\tdoi = {https://doi.org/10.23919/ACC53348.2022.9867636},\n\tabstract = {In this paper, we develop a data-driven process for building a model predictive control (MPC) for eco-driving of automated vehicles. The process involves performing system identification in which the non-linear vehicle dynamics model is approximated by the Koopman operator, a linear predictor of higher state-dimension, in a data-driven framework. This approach allows us to formulate the eco-driving problem in a constrained quadratic program that leads to a computationally fast MPC. The MPC is then implemented as a closed-loop control of an electric vehicle in numerical simulations for demonstration.},\n\tbooktitle = {2022 {American} {Control} {Conference} ({ACC})},\n\tpublisher = {IEEE},\n\tauthor = {Gupta, Shobhit and Shen, Daliang and Karbowski, Dominik and Rousseau, Aymeric},\n\tmonth = jun,\n\tyear = {2022},\n\tnote = {ANL},\n\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In this paper, we develop a data-driven process for building a model predictive control (MPC) for eco-driving of automated vehicles. The process involves performing system identification in which the non-linear vehicle dynamics model is approximated by the Koopman operator, a linear predictor of higher state-dimension, in a data-driven framework. This approach allows us to formulate the eco-driving problem in a constrained quadratic program that leads to a computationally fast MPC. The MPC is then implemented as a closed-loop control of an electric vehicle in numerical simulations for demonstration.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"shen-han-karbowski-rousseau-datadrivendesignofmodelpredictivecontrolforpowertrainawareecodrivingconsideringnonlinearitiesusingkoopmananalysis-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/z10wanslss63r43ijydihby9izbkfm31\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'shen-han-karbowski-rousseau-datadrivendesignofmodelpredictivecontrolforpowertrainawareecodrivingconsideringnonlinearitiesusingkoopmananalysis-2022', 'https://anl.box.com/s/z10wanslss63r43ijydihby9izbkfm31', event);\">\n    Data-Driven Design of Model Predictive Control for Powertrain-Aware Eco-Driving Considering Nonlinearities Using Koopman Analysis.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Shen, D.; Han, J.; Karbowski, D.;  and Rousseau, A.\n</span>\n\n  \n\n</span>\n\n  In <i>10th IFAC International Symposium on Advances in Automotive Control (accepted)</i>, Columbus, OH, USA, August 2022. \n  <span class=\"note\">ANL</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/z10wanslss63r43ijydihby9izbkfm31\"\n     onclick=\"log_download('shen-han-karbowski-rousseau-datadrivendesignofmodelpredictivecontrolforpowertrainawareecodrivingconsideringnonlinearitiesusingkoopmananalysis-2022', 'https://anl.box.com/s/z10wanslss63r43ijydihby9izbkfm31', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Data-Driven Design of Model Predictive Control for Powertrain-Aware Eco-Driving Considering Nonlinearities Using Koopman Analysis [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.1016/j.ifacol.2022.10.271\"\n     onclick=\"log_download('shen-han-karbowski-rousseau-datadrivendesignofmodelpredictivecontrolforpowertrainawareecodrivingconsideringnonlinearitiesusingkoopmananalysis-2022', 'http://doi.org/https://doi.org/10.1016/j.ifacol.2022.10.271', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/shen-han-karbowski-rousseau-datadrivendesignofmodelpredictivecontrolforpowertrainawareecodrivingconsideringnonlinearitiesusingkoopmananalysis-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('shen-han-karbowski-rousseau-datadrivendesignofmodelpredictivecontrolforpowertrainawareecodrivingconsideringnonlinearitiesusingkoopmananalysis-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{shen_data-driven_2022,\n\taddress = {Columbus, OH, USA},\n\ttitle = {Data-{Driven} {Design} of {Model} {Predictive} {Control} for {Powertrain}-{Aware} {Eco}-{Driving} {Considering} {Nonlinearities} {Using} {Koopman} {Analysis}},\n\turl = {https://anl.box.com/s/z10wanslss63r43ijydihby9izbkfm31},\n\tdoi = {https://doi.org/10.1016/j.ifacol.2022.10.271},\n\tabstract = {Eco-driving is a highly nonlinear control problem. The\nnonlinearities include the complex energy\nconversion/dissipation in the powertrain, environmental\ninfluences such as road grade and aerodynamic drag, and\nconstraints due to traffic signs, safety issues, and\nphysical limits of the vehicle system. In recent years,\nresearchers have increasingly revisited the Koopman\noperator to linearize nonlinear dynamics so that the lifted\nsystem evolves linearly in a higher dimensional space. This\npaper adopts such an approximation technique to construct\nthe lifted state space in a data-driven procedure that\nallows us to incorporate in the cost function the\npowertrain nonlinear inefficiency in vehicle speed, and\nsystem perturbations due to the nonlinear road grade\nnonlinear in position. In addition, the nonlinear\nconstraints in states can also be handled linearly. The\nresultant formulation of a linearly constrained quadratic\nprogram can be readily applied to design a model predictive\ncontrol that enjoys a low computation load as with a linear\ndynamic system. Simulation results demonstrate additional\nenergy saving potential compared to a linear approach.},\n\tbooktitle = {10th {IFAC} {International} {Symposium} on {Advances} in {Automotive} {Control} (accepted)},\n\tauthor = {Shen, Daliang and Han, Jihun and Karbowski, Dominik and Rousseau, Aymeric},\n\tmonth = aug,\n\tyear = {2022},\n\tnote = {ANL},\n\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Eco-driving is a highly nonlinear control problem. The nonlinearities include the complex energy conversion/dissipation in the powertrain, environmental influences such as road grade and aerodynamic drag, and constraints due to traffic signs, safety issues, and physical limits of the vehicle system. In recent years, researchers have increasingly revisited the Koopman operator to linearize nonlinear dynamics so that the lifted system evolves linearly in a higher dimensional space. This paper adopts such an approximation technique to construct the lifted state space in a data-driven procedure that allows us to incorporate in the cost function the powertrain nonlinear inefficiency in vehicle speed, and system perturbations due to the nonlinear road grade nonlinear in position. In addition, the nonlinear constraints in states can also be handled linearly. The resultant formulation of a linearly constrained quadratic program can be readily applied to design a model predictive control that enjoys a low computation load as with a linear dynamic system. Simulation results demonstrate additional energy saving potential compared to a linear approach.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"subramanyam-cokyasar-larson-stinson-jointroutingofconventionalandrangeextendedelectricvehiclesinalargemetropolitannetwork-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S0968090X22002510\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'subramanyam-cokyasar-larson-stinson-jointroutingofconventionalandrangeextendedelectricvehiclesinalargemetropolitannetwork-2022', 'https://www.sciencedirect.com/science/article/pii/S0968090X22002510', event);\">\n    Joint routing of conventional and range-extended electric vehicles in a large metropolitan network.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Subramanyam, A.; Cokyasar, T.; Larson, J.;  and Stinson, M.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Part C: Emerging Technologies</i>, 144(103830).  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S0968090X22002510\"\n     onclick=\"log_download('subramanyam-cokyasar-larson-stinson-jointroutingofconventionalandrangeextendedelectricvehiclesinalargemetropolitannetwork-2022', 'https://www.sciencedirect.com/science/article/pii/S0968090X22002510', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Joint routing of conventional and range-extended electric vehicles in a large metropolitan network [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.1016/j.trc.2022.103830\"\n     onclick=\"log_download('subramanyam-cokyasar-larson-stinson-jointroutingofconventionalandrangeextendedelectricvehiclesinalargemetropolitannetwork-2022', 'http://doi.org/https://doi.org/10.1016/j.trc.2022.103830', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/subramanyam-cokyasar-larson-stinson-jointroutingofconventionalandrangeextendedelectricvehiclesinalargemetropolitannetwork-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('subramanyam-cokyasar-larson-stinson-jointroutingofconventionalandrangeextendedelectricvehiclesinalargemetropolitannetwork-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{subramanyam_joint_2022,\n\ttitle = {Joint routing of conventional and range-extended electric vehicles in a large metropolitan network},\n\tvolume = {144},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0968090X22002510},\n\tdoi = {https://doi.org/10.1016/j.trc.2022.103830},\n\tnumber = {103830},\n\tjournal = {Transportation Research Part C: Emerging Technologies},\n\tauthor = {Subramanyam, Anirudh and Cokyasar, Taner and Larson, Jeffrey and Stinson, Monique},\n\tyear = {2022},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cokyasar-desouza-auld-verbas-dynamicridematchingforlargescaletransportationsystems-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1177/03611981211049422\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cokyasar-desouza-auld-verbas-dynamicridematchingforlargescaletransportationsystems-2022', 'https://doi.org/10.1177/03611981211049422', event);\">\n    Dynamic Ride-Matching for Large-Scale Transportation Systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cokyasar, T.; de Souza, F.; Auld, J.;  and Verbas, O.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation Research Record</i>, 2676(3): 172–182. March 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1177/03611981211049422\"\n     onclick=\"log_download('cokyasar-desouza-auld-verbas-dynamicridematchingforlargescaletransportationsystems-2022', 'https://doi.org/10.1177/03611981211049422', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Dynamic Ride-Matching for Large-Scale Transportation Systems [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1177/03611981211049422\"\n     onclick=\"log_download('cokyasar-desouza-auld-verbas-dynamicridematchingforlargescaletransportationsystems-2022', 'http://doi.org/10.1177/03611981211049422', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cokyasar-desouza-auld-verbas-dynamicridematchingforlargescaletransportationsystems-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cokyasar-desouza-auld-verbas-dynamicridematchingforlargescaletransportationsystems-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cokyasar_dynamic_2022,\n\ttitle = {Dynamic {Ride}-{Matching} for {Large}-{Scale} {Transportation} {Systems}},\n\tvolume = {2676},\n\tissn = {0361-1981},\n\turl = {https://doi.org/10.1177/03611981211049422},\n\tdoi = {10.1177/03611981211049422},\n\tabstract = {Efficient dynamic ride-matching (DRM) in large-scale transportation systems is a key driver in transport simulations to yield answers to challenging problems. Although the DRM problem is simple to solve, it quickly becomes a computationally challenging problem in large-scale transportation system simulations. Therefore, this study thoroughly examines the DRM problem dynamics and proposes an optimization-based solution framework to solve the problem efficiently. To benefit from parallel computing and reduce computational times, the problem’s network is divided into clusters utilizing a commonly used unsupervised machine learning algorithm along with a linear programming model. Then, these sub-problems are solved using another linear program to finalize the ride-matching. At the clustering level, the framework allows users adjusting cluster sizes to balance the trade-off between the computational time savings and the solution quality deviation. A case study in the Chicago Metropolitan Area, U.S., illustrates that the framework can reduce the average computational time by 58\\% at the cost of increasing the average pick up time by 26\\% compared with a system optimum, that is, non-clustered, approach. Another case study in a relatively small city, Bloomington, Illinois, U.S., shows that the framework provides quite similar results to the system-optimum approach in approximately 62\\% less computational time.},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2023-08-01},\n\tjournal = {Transportation Research Record},\n\tauthor = {Cokyasar, Taner and de Souza, Felipe and Auld, Joshua and Verbas, Omer},\n\tmonth = mar,\n\tyear = {2022},\n\tpages = {172--182},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Efficient dynamic ride-matching (DRM) in large-scale transportation systems is a key driver in transport simulations to yield answers to challenging problems. Although the DRM problem is simple to solve, it quickly becomes a computationally challenging problem in large-scale transportation system simulations. Therefore, this study thoroughly examines the DRM problem dynamics and proposes an optimization-based solution framework to solve the problem efficiently. To benefit from parallel computing and reduce computational times, the problem’s network is divided into clusters utilizing a commonly used unsupervised machine learning algorithm along with a linear programming model. Then, these sub-problems are solved using another linear program to finalize the ride-matching. At the clustering level, the framework allows users adjusting cluster sizes to balance the trade-off between the computational time savings and the solution quality deviation. A case study in the Chicago Metropolitan Area, U.S., illustrates that the framework can reduce the average computational time by 58% at the cost of increasing the average pick up time by 26% compared with a system optimum, that is, non-clustered, approach. Another case study in a relatively small city, Bloomington, Illinois, U.S., shows that the framework provides quite similar results to the system-optimum approach in approximately 62% less computational time.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jabbari-auld-mackenzie-howdoperceptionsofsafetyandcarownershipimportanceaffectautonomousvehicleadoption-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  How do perceptions of safety and car ownership importance affect autonomous vehicle adoption?.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jabbari, P.; Auld, J.;  and MacKenzie, D.\n</span>\n\n  \n\n</span>\n\n  <i>Travel behaviour and society</i>, 28: 128–140.  2022.\n  <span class=\"note\">Publisher: Elsevier</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jabbari-auld-mackenzie-howdoperceptionsofsafetyandcarownershipimportanceaffectautonomousvehicleadoption-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jabbari-auld-mackenzie-howdoperceptionsofsafetyandcarownershipimportanceaffectautonomousvehicleadoption-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{jabbari_how_2022,\n\ttitle = {How do perceptions of safety and car ownership importance affect autonomous vehicle adoption?},\n\tvolume = {28},\n\tjournal = {Travel behaviour and society},\n\tauthor = {Jabbari, Parastoo and Auld, Joshua and MacKenzie, Don},\n\tyear = {2022},\n\tnote = {Publisher: Elsevier},\n\tpages = {128--140},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"enam-ardeshiri-rashidi-auld-doautomatedvehicleaventhusiastsvaluetraveltimedifferentlyfromcautioustravelersanexplorationoftravelersattitudestowardsav-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Do automated vehicle (AV) enthusiasts value travel time differently from cautious travelers? an exploration of travelers’ attitudes towards AV.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Enam, A.; Ardeshiri, A.; Rashidi, T. H;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation planning and technology</i>, 45(1): 19–38.  2022.\n  <span class=\"note\">Publisher: Routledge</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/enam-ardeshiri-rashidi-auld-doautomatedvehicleaventhusiastsvaluetraveltimedifferentlyfromcautioustravelersanexplorationoftravelersattitudestowardsav-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('enam-ardeshiri-rashidi-auld-doautomatedvehicleaventhusiastsvaluetraveltimedifferentlyfromcautioustravelersanexplorationoftravelersattitudestowardsav-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{enam_automated_2022,\n\ttitle = {Do automated vehicle ({AV}) enthusiasts value travel time differently from cautious travelers? an exploration of travelers’ attitudes towards {AV}},\n\tvolume = {45},\n\tnumber = {1},\n\tjournal = {Transportation planning and technology},\n\tauthor = {Enam, Annesha and Ardeshiri, Ali and Rashidi, Taha H and Auld, Joshua},\n\tyear = {2022},\n\tnote = {Publisher: Routledge},\n\tpages = {19--38},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"tu-jabbari-khan-mackenzie-effectsoftriplevelcharacteristicsonautonomousvehicleownershipausanalysis-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Effects of trip-level characteristics on autonomous vehicle ownership: A US analysis.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Tu, Y. T.; Jabbari, P.; Khan, N. A.;  and MacKenzie, D.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation research part D: transport and environment</i>, 108: 103321.  2022.\n  <span class=\"note\">Publisher: Pergamon</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/tu-jabbari-khan-mackenzie-effectsoftriplevelcharacteristicsonautonomousvehicleownershipausanalysis-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('tu-jabbari-khan-mackenzie-effectsoftriplevelcharacteristicsonautonomousvehicleownershipausanalysis-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{tu_effects_2022,\n\ttitle = {Effects of trip-level characteristics on autonomous vehicle ownership: {A} {US} analysis},\n\tvolume = {108},\n\tjournal = {Transportation research part D: transport and environment},\n\tauthor = {Tu, Yuanjie Tukey and Jabbari, Parastoo and Khan, Nazmul Arefin and MacKenzie, Don},\n\tyear = {2022},\n\tnote = {Publisher: Pergamon},\n\tpages = {103321},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"javadinasr-asgharpour-rahimi-choobchian-mohammadian-auld-elicitingattitudinalfactorsaffectingthecontinuanceuseofescootersanempiricalstudyinchicago-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Eliciting attitudinal factors affecting the continuance use of E-scooters: An empirical study in Chicago.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Javadinasr, M.; Asgharpour, S.; Rahimi, E.; Choobchian, P.; Mohammadian, A. K.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation research part F: traffic psychology and behaviour</i>, 87: 87–101.  2022.\n  <span class=\"note\">Publisher: Pergamon</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/javadinasr-asgharpour-rahimi-choobchian-mohammadian-auld-elicitingattitudinalfactorsaffectingthecontinuanceuseofescootersanempiricalstudyinchicago-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('javadinasr-asgharpour-rahimi-choobchian-mohammadian-auld-elicitingattitudinalfactorsaffectingthecontinuanceuseofescootersanempiricalstudyinchicago-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{javadinasr_eliciting_2022,\n\ttitle = {Eliciting attitudinal factors affecting the continuance use of {E}-scooters: {An} empirical study in {Chicago}},\n\tvolume = {87},\n\tjournal = {Transportation research part F: traffic psychology and behaviour},\n\tauthor = {Javadinasr, Mohammadjavad and Asgharpour, Sina and Rahimi, Ehsan and Choobchian, Pooria and Mohammadian, Abolfazl Kouros and Auld, Joshua},\n\tyear = {2022},\n\tnote = {Publisher: Pergamon},\n\tpages = {87--101},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jha-prabhakar-karbowski-german-urbanairmobilityapreliminarycasestudyforchicagoandatlanta-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/qo9o8h96uixu6p6f4g3ztxf7bm81uvwt\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jha-prabhakar-karbowski-german-urbanairmobilityapreliminarycasestudyforchicagoandatlanta-2022', 'https://anl.box.com/s/qo9o8h96uixu6p6f4g3ztxf7bm81uvwt', event);\">\n    Urban Air Mobility: A preliminary case study for Chicago and Atlanta.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jha, A.; Prabhakar, N.; Karbowski, D.;  and German, B.\n</span>\n\n  \n\n</span>\n\n  In <i>2022 IEEE Transportation Electrification Conference & Expo (ITEC)</i>, pages 300–306, June 2022. \n  <span class=\"note\">ISSN: 2377-5483</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/qo9o8h96uixu6p6f4g3ztxf7bm81uvwt\"\n     onclick=\"log_download('jha-prabhakar-karbowski-german-urbanairmobilityapreliminarycasestudyforchicagoandatlanta-2022', 'https://anl.box.com/s/qo9o8h96uixu6p6f4g3ztxf7bm81uvwt', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Urban Air Mobility: A preliminary case study for Chicago and Atlanta [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/ITEC53557.2022.9814052\"\n     onclick=\"log_download('jha-prabhakar-karbowski-german-urbanairmobilityapreliminarycasestudyforchicagoandatlanta-2022', 'http://doi.org/10.1109/ITEC53557.2022.9814052', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jha-prabhakar-karbowski-german-urbanairmobilityapreliminarycasestudyforchicagoandatlanta-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jha-prabhakar-karbowski-german-urbanairmobilityapreliminarycasestudyforchicagoandatlanta-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{jha_urban_2022,\n\ttitle = {Urban {Air} {Mobility}: {A} preliminary case study for {Chicago} and {Atlanta}},\n\tshorttitle = {Urban {Air} {Mobility}},\n\turl = {https://anl.box.com/s/qo9o8h96uixu6p6f4g3ztxf7bm81uvwt},\n\tdoi = {10.1109/ITEC53557.2022.9814052},\n\tabstract = {These This paper reviews two promising Urban Air Mobility electric VTOL designs and develops static performance models for them. Using America Commuter Survey LODES [1] data, a demand model for such a mobility service is also derived. Further, the performance model is then used to compare UAM service to driving to indicate demand and energy expenditure of this new emerging form of mobility.},\n\tbooktitle = {2022 {IEEE} {Transportation} {Electrification} {Conference} \\&amp; {Expo} ({ITEC})},\n\tauthor = {Jha, Ayush and Prabhakar, Nirmit and Karbowski, Dominik and German, Brian},\n\tmonth = jun,\n\tyear = {2022},\n\tnote = {ISSN: 2377-5483},\n\tkeywords = {Aeronomie, Aircraft Systems},\n\tpages = {300--306},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  These This paper reviews two promising Urban Air Mobility electric VTOL designs and develops static performance models for them. Using America Commuter Survey LODES [1] data, a demand model for such a mobility service is also derived. Further, the performance model is then used to compare UAM service to driving to indicate demand and energy expenditure of this new emerging form of mobility.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"heyerdahl-prabhakar-karbowski-sharer-applicationofdynamicsimulationtoolaeronomietoquadcoptercontrolselection-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/8o18bov3swmpqr7un2y633oxzmdbn04f\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'heyerdahl-prabhakar-karbowski-sharer-applicationofdynamicsimulationtoolaeronomietoquadcoptercontrolselection-2022', 'https://anl.box.com/s/8o18bov3swmpqr7un2y633oxzmdbn04f', event);\">\n    Application of Dynamic Simulation Tool Aeronomie to Quadcopter Control Selection.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Heyerdahl, L.; Prabhakar, N.; Karbowski, D.;  and Sharer, P.\n</span>\n\n  \n\n</span>\n\n  In <i>AIAA SCITECH 2022 Forum</i>, January 2022. American Institute of Aeronautics and Astronautics\n  <span class=\"note\">_eprint: https://arc.aiaa.org/doi/pdf/10.2514/6.2022-1518</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/8o18bov3swmpqr7un2y633oxzmdbn04f\"\n     onclick=\"log_download('heyerdahl-prabhakar-karbowski-sharer-applicationofdynamicsimulationtoolaeronomietoquadcoptercontrolselection-2022', 'https://anl.box.com/s/8o18bov3swmpqr7un2y633oxzmdbn04f', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Application of Dynamic Simulation Tool Aeronomie to Quadcopter Control Selection [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.2514/6.2022-1518\"\n     onclick=\"log_download('heyerdahl-prabhakar-karbowski-sharer-applicationofdynamicsimulationtoolaeronomietoquadcoptercontrolselection-2022', 'http://doi.org/10.2514/6.2022-1518', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/heyerdahl-prabhakar-karbowski-sharer-applicationofdynamicsimulationtoolaeronomietoquadcoptercontrolselection-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('heyerdahl-prabhakar-karbowski-sharer-applicationofdynamicsimulationtoolaeronomietoquadcoptercontrolselection-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{heyerdahl_application_2022,\n\ttitle = {Application of {Dynamic} {Simulation} {Tool} {Aeronomie} to {Quadcopter} {Control} {Selection}},\n\turl = {https://anl.box.com/s/8o18bov3swmpqr7un2y633oxzmdbn04f},\n\tdoi = {10.2514/6.2022-1518},\n\tabstract = {View Video Presentation: https://doi.org/10.2514/6.2022-1518.vid  -  Aeronomie is a new dynamic simulation tool developed by Argonne National Laboratory to design electric aircraft and evaluate their performance. Aeronomie enables simulations for any aircraft configuration through waypoint-based missions by generating a full-vehicle Simulink model from generic or user-created subsystem models. After running a mission, the software interface lists energy consumption and efficiency for each modeled component of the powerplant and logs all signals from the simulation for custom post-processing. In this paper, we use this capability to compare the energy consumption and general performance of a quadcopter using a proportional-integral-derivative (PID) controller and a linear quadratic regulator (LQR) as the vehicle completes two different missions: a 16-kilometer delivery mission and a figure-eight circuit mission. Compared to the PID-controlled quadcopter, the LQR-controlled quadcopter required 0.75\\% more energy and finished 2.4\\% quicker in the delivery mission, while it required 0.22\\% less energy and finished 1.0\\% quicker in the figure-eight mission. This report shows a direct application of Aeronomie and how it allows researchers to conduct in-depth studies on electric and hybrid-electric aircraft.},\n\turldate = {2023-03-13},\n\tbooktitle = {{AIAA} {SCITECH} 2022 {Forum}},\n\tpublisher = {American Institute of Aeronautics and Astronautics},\n\tauthor = {Heyerdahl, Luke and Prabhakar, Nirmit and Karbowski, Dominik and Sharer, Phillip},\n\tmonth = jan,\n\tyear = {2022},\n\tnote = {\\_eprint: https://arc.aiaa.org/doi/pdf/10.2514/6.2022-1518},\n\tkeywords = {Aeronomie, Aircraft Systems},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  View Video Presentation: https://doi.org/10.2514/6.2022-1518.vid - Aeronomie is a new dynamic simulation tool developed by Argonne National Laboratory to design electric aircraft and evaluate their performance. Aeronomie enables simulations for any aircraft configuration through waypoint-based missions by generating a full-vehicle Simulink model from generic or user-created subsystem models. After running a mission, the software interface lists energy consumption and efficiency for each modeled component of the powerplant and logs all signals from the simulation for custom post-processing. In this paper, we use this capability to compare the energy consumption and general performance of a quadcopter using a proportional-integral-derivative (PID) controller and a linear quadratic regulator (LQR) as the vehicle completes two different missions: a 16-kilometer delivery mission and a figure-eight circuit mission. Compared to the PID-controlled quadcopter, the LQR-controlled quadcopter required 0.75% more energy and finished 2.4% quicker in the delivery mission, while it required 0.22% less energy and finished 1.0% quicker in the figure-eight mission. This report shows a direct application of Aeronomie and how it allows researchers to conduct in-depth studies on electric and hybrid-electric aircraft.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"prabhakar-heyerdahl-jha-karbowski-energyimpactsofelectricaircraftanoverview-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/fs1r5a37g1ghom8cazzk4l7jiqt9rstr\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'prabhakar-heyerdahl-jha-karbowski-energyimpactsofelectricaircraftanoverview-2022', 'https://anl.box.com/s/fs1r5a37g1ghom8cazzk4l7jiqt9rstr', event);\">\n    Energy Impacts of Electric Aircraft: An Overview.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Prabhakar, N.; Heyerdahl, L.; Jha, A.;  and Karbowski, D.\n</span>\n\n  \n\n</span>\n\n  In <i>AIAA AVIATION 2022 Forum</i>, June 2022. American Institute of Aeronautics and Astronautics\n  <span class=\"note\">_eprint: https://arc.aiaa.org/doi/pdf/10.2514/6.2022-4119</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/fs1r5a37g1ghom8cazzk4l7jiqt9rstr\"\n     onclick=\"log_download('prabhakar-heyerdahl-jha-karbowski-energyimpactsofelectricaircraftanoverview-2022', 'https://anl.box.com/s/fs1r5a37g1ghom8cazzk4l7jiqt9rstr', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Energy Impacts of Electric Aircraft: An Overview [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.2514/6.2022-4119\"\n     onclick=\"log_download('prabhakar-heyerdahl-jha-karbowski-energyimpactsofelectricaircraftanoverview-2022', 'http://doi.org/10.2514/6.2022-4119', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/prabhakar-heyerdahl-jha-karbowski-energyimpactsofelectricaircraftanoverview-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('prabhakar-heyerdahl-jha-karbowski-energyimpactsofelectricaircraftanoverview-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{prabhakar_energy_2022,\n\ttitle = {Energy {Impacts} of {Electric} {Aircraft}: {An} {Overview}},\n\tshorttitle = {Energy {Impacts} of {Electric} {Aircraft}},\n\turl = {https://anl.box.com/s/fs1r5a37g1ghom8cazzk4l7jiqt9rstr},\n\tdoi = {10.2514/6.2022-4119},\n\tabstract = {View Video Presentation: https://doi.org/10.2514/6.2022-4119.vidCommercial aviation represents approximately 2\\% of the global emissions of greenhouse gases, yet presently relies exclusively on fossil fuels as a source of energy. This paper evaluates to what extent an all-electric aircraft can provide an alternative. First, three classes of aircraft are modeled at various timelines in the future: 50/100/150 passenger capacity in 2030/2040/2050. Technology is assumed to improve over time, especially with regards to battery specific energy, resulting in aircraft with increased range. A database of all domestic flights in the US in 2019 is then used to filter and aggregate flights suited for replacement by electric aircraft. In the short term (2030), no viable aircraft can meet the requirements of each class. By 2040, a third of the flights can be done by an all-electric aircraft, but only short ones, as the range does not exceed 500 mi, resulting in 3\\% of total passenger-miles. By 2050, owing to the most optimistic technology assumptions, a quarter of all passenger-miles can be flown by electric airplanes. The resulting displaced jet fuel is also calculated.},\n\turldate = {2023-03-13},\n\tbooktitle = {{AIAA} {AVIATION} 2022 {Forum}},\n\tpublisher = {American Institute of Aeronautics and Astronautics},\n\tauthor = {Prabhakar, Nirmit and Heyerdahl, Luke and Jha, Ayush and Karbowski, Dominik},\n\tmonth = jun,\n\tyear = {2022},\n\tnote = {\\_eprint: https://arc.aiaa.org/doi/pdf/10.2514/6.2022-4119},\n\tkeywords = {Aircraft Systems},\n}\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  View Video Presentation: https://doi.org/10.2514/6.2022-4119.vidCommercial aviation represents approximately 2% of the global emissions of greenhouse gases, yet presently relies exclusively on fossil fuels as a source of energy. This paper evaluates to what extent an all-electric aircraft can provide an alternative. First, three classes of aircraft are modeled at various timelines in the future: 50/100/150 passenger capacity in 2030/2040/2050. Technology is assumed to improve over time, especially with regards to battery specific energy, resulting in aircraft with increased range. A database of all domestic flights in the US in 2019 is then used to filter and aggregate flights suited for replacement by electric aircraft. In the short term (2030), no viable aircraft can meet the requirements of each class. By 2040, a third of the flights can be done by an all-electric aircraft, but only short ones, as the range does not exceed 500 mi, resulting in 3% of total passenger-miles. By 2050, owing to the most optimistic technology assumptions, a quarter of all passenger-miles can be flown by electric airplanes. The resulting displaced jet fuel is also calculated.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2021\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2021')\"\n      onkeypress=\"toggleGroup('group_2021')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2021</span>\n      <span class=\"bibbase_group_count\">\n        \n        (9)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"hyeon-shen-karbowski-rousseau-forecastingshorttomidlengthspeedtrajectoriesofprecedingvehicleusingv2xconnectivityforecodrivingofelectricvehicles-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/gganzlbo4iaj70fxqpcsiro59hmfcmqt\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hyeon-shen-karbowski-rousseau-forecastingshorttomidlengthspeedtrajectoriesofprecedingvehicleusingv2xconnectivityforecodrivingofelectricvehicles-2021', 'https://anl.box.com/s/gganzlbo4iaj70fxqpcsiro59hmfcmqt', event);\">\n    Forecasting Short to Mid-length Speed Trajectories of Preceding Vehicle using V2X Connectivity for Eco-Driving of Electric Vehicles.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hyeon, E.; Shen, D.; Karbowski, D.;  and Rousseau, A.\n</span>\n\n  \n\n</span>\n\n  <i>SAE International Journal of Advances and Current Practices in Mobility</i>, 3(4): 1801–1809. April 2021.\n  <span class=\"note\">ANL</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/gganzlbo4iaj70fxqpcsiro59hmfcmqt\"\n     onclick=\"log_download('hyeon-shen-karbowski-rousseau-forecastingshorttomidlengthspeedtrajectoriesofprecedingvehicleusingv2xconnectivityforecodrivingofelectricvehicles-2021', 'https://anl.box.com/s/gganzlbo4iaj70fxqpcsiro59hmfcmqt', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Forecasting Short to Mid-length Speed Trajectories of Preceding Vehicle using V2X Connectivity for Eco-Driving of Electric Vehicles [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.4271/2021-01-0431\"\n     onclick=\"log_download('hyeon-shen-karbowski-rousseau-forecastingshorttomidlengthspeedtrajectoriesofprecedingvehicleusingv2xconnectivityforecodrivingofelectricvehicles-2021', 'http://doi.org/https://doi.org/10.4271/2021-01-0431', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hyeon-shen-karbowski-rousseau-forecastingshorttomidlengthspeedtrajectoriesofprecedingvehicleusingv2xconnectivityforecodrivingofelectricvehicles-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>11 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hyeon-shen-karbowski-rousseau-forecastingshorttomidlengthspeedtrajectoriesofprecedingvehicleusingv2xconnectivityforecodrivingofelectricvehicles-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{hyeon_forecasting_2021,\n\ttitle = {Forecasting {Short} to {Mid}-length {Speed} {Trajectories} of {Preceding} {Vehicle} using {V2X} {Connectivity} for {Eco}-{Driving} of {Electric} {Vehicles}},\n\tvolume = {3},\n\turl = {https://anl.box.com/s/gganzlbo4iaj70fxqpcsiro59hmfcmqt},\n\tdoi = {https://doi.org/10.4271/2021-01-0431},\n\tabstract = {In recent studies, optimal control has shown promise as a strategy for enhancing the energy efficiency of connected autonomous vehicles. To maximize optimization performance, it is important to accurately predict constraints, especially separation from a vehicle in front. This paper proposes a novel prediction method for forecasting the trajectory of the nearest preceding car. The proposed predictor is designed to produce short to medium-length speed trajectories using a locally weighted polynomial regression algorithm. The polynomial coefficients are trained by using two types of information: (1) vehicle-to-vehicle (V2V) messages transmitted by multiple preceding vehicles and (2) vehicle-to-infrastructure (V2I) information broadcast by roadside equipment. The predictor’s performance was tested in a multi-vehicle traffic simulation platform, RoadRunner, previously developed by Argonne National Laboratory. The simulation results show that the proposed predictor’s improved predictions can reduce energy consumption by 5\\% over eco-driving with the baseline predictor.},\n\tnumber = {4},\n\tjournal = {SAE International Journal of Advances and Current Practices in Mobility},\n\tauthor = {Hyeon, Eunjeong and Shen, Daliang and Karbowski, Dominik and Rousseau, Aymeric},\n\tmonth = apr,\n\tyear = {2021},\n\tnote = {ANL},\n\tkeywords = {Connected and Automated Vehicles, DOE SMART, Driver Modeling, RoadRunner, Vehicle control},\n\tpages = {1801--1809},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In recent studies, optimal control has shown promise as a strategy for enhancing the energy efficiency of connected autonomous vehicles. To maximize optimization performance, it is important to accurately predict constraints, especially separation from a vehicle in front. This paper proposes a novel prediction method for forecasting the trajectory of the nearest preceding car. The proposed predictor is designed to produce short to medium-length speed trajectories using a locally weighted polynomial regression algorithm. The polynomial coefficients are trained by using two types of information: (1) vehicle-to-vehicle (V2V) messages transmitted by multiple preceding vehicles and (2) vehicle-to-infrastructure (V2I) information broadcast by roadside equipment. The predictor’s performance was tested in a multi-vehicle traffic simulation platform, RoadRunner, previously developed by Argonne National Laboratory. The simulation results show that the proposed predictor’s improved predictions can reduce energy consumption by 5% over eco-driving with the baseline predictor.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lee-han-zhang-karbowski-rousseau-kim-arealtimeintelligentspeedoptimizationplannerusingreinforcementlearning-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://anl.box.com/s/c8ulclbcvrl5dve3yqans6vpv5onpz4v\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lee-han-zhang-karbowski-rousseau-kim-arealtimeintelligentspeedoptimizationplannerusingreinforcementlearning-2021', 'https://anl.box.com/s/c8ulclbcvrl5dve3yqans6vpv5onpz4v', event);\">\n    A Real-Time Intelligent Speed Optimization Planner Using Reinforcement Learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lee, W.; Han, J.; Zhang, Y.; Karbowski, D.; Rousseau, A.;  and Kim, N.\n</span>\n\n  \n\n</span>\n\n  In <i>SAE Technical Paper 2021-01-0434</i>, Detroit, MI, USA, April 2021. SAE International\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://anl.box.com/s/c8ulclbcvrl5dve3yqans6vpv5onpz4v\"\n     onclick=\"log_download('lee-han-zhang-karbowski-rousseau-kim-arealtimeintelligentspeedoptimizationplannerusingreinforcementlearning-2021', 'https://anl.box.com/s/c8ulclbcvrl5dve3yqans6vpv5onpz4v', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Real-Time Intelligent Speed Optimization Planner Using Reinforcement Learning [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.4271/2021-01-0434\"\n     onclick=\"log_download('lee-han-zhang-karbowski-rousseau-kim-arealtimeintelligentspeedoptimizationplannerusingreinforcementlearning-2021', 'http://doi.org/https://doi.org/10.4271/2021-01-0434', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lee-han-zhang-karbowski-rousseau-kim-arealtimeintelligentspeedoptimizationplannerusingreinforcementlearning-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lee-han-zhang-karbowski-rousseau-kim-arealtimeintelligentspeedoptimizationplannerusingreinforcementlearning-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{lee_real-time_2021,\n\taddress = {Detroit, MI, USA},\n\ttitle = {A {Real}-{Time} {Intelligent} {Speed} {Optimization} {Planner} {Using} {Reinforcement} {Learning}},\n\turl = {https://anl.box.com/s/c8ulclbcvrl5dve3yqans6vpv5onpz4v},\n\tdoi = {https://doi.org/10.4271/2021-01-0434},\n\tabstract = {As connectivity and sensing technologies become more mature,\nautomated vehicles can predict future driving situations and utilize this\ninformation to drive more energy-efficiently than human-driven\nvehicles. However, future information beyond the limited connectivity\nand sensing range is difficult to predict and utilize, limiting the energysaving\npotential of energy-efficient driving. Thus, we combine a\nconventional speed optimization planner, developed in our previous\nwork, and reinforcement learning to propose a real-time intelligent\nspeed optimization planner for connected and automated vehicles. We\nbriefly summarize the conventional speed optimization planner with\nlimited information, based on closed-form energy-optimal solutions,\nand present its multiple parameters that determine reference speed\ntrajectories. Then, we use a deep reinforcement learning (DRL)\nalgorithm, such as a deep Q-learning algorithm, to find the policy of\nhow to adjust these parameters in real-time to dynamically changing\nsituations in order to realize the full potential of energy-efficient\ndriving. The model-free DRL algorithm, based on the experience of\nthe system, can learn the optimal policy through iteratively interacting\nwith different driving scenarios without increasing the limited\nconnectivity and sensing range. The training process of the parameter\nadaptation policy exploits a high-fidelity simulation framework that\ncan simulate multiple vehicles with full powertrain models and the\ninteractions between vehicles and their environment. We consider\nintersection-approaching scenarios where there is one traffic light with\ndifferent signal phase and timing setup. Results show that the learned\noptimal policy enables the proposed intelligent speed optimization\nplanner to properly adjust the parameters in a piecewise constant\nmanner, leading to additional energy savings without increasing total\ntravel time compared to the conventional speed optimization planner.},\n\tbooktitle = {{SAE} {Technical} {Paper} 2021-01-0434},\n\tpublisher = {SAE International},\n\tauthor = {Lee, Woong and Han, Jihun and Zhang, Yaozhong and Karbowski, Dominik and Rousseau, Aymeric and Kim, Namwook},\n\tmonth = apr,\n\tyear = {2021},\n\tkeywords = {Connected and Automated Vehicles, DOE SMART, RoadRunner, Vehicle control},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  As connectivity and sensing technologies become more mature, automated vehicles can predict future driving situations and utilize this information to drive more energy-efficiently than human-driven vehicles. However, future information beyond the limited connectivity and sensing range is difficult to predict and utilize, limiting the energysaving potential of energy-efficient driving. Thus, we combine a conventional speed optimization planner, developed in our previous work, and reinforcement learning to propose a real-time intelligent speed optimization planner for connected and automated vehicles. We briefly summarize the conventional speed optimization planner with limited information, based on closed-form energy-optimal solutions, and present its multiple parameters that determine reference speed trajectories. Then, we use a deep reinforcement learning (DRL) algorithm, such as a deep Q-learning algorithm, to find the policy of how to adjust these parameters in real-time to dynamically changing situations in order to realize the full potential of energy-efficient driving. The model-free DRL algorithm, based on the experience of the system, can learn the optimal policy through iteratively interacting with different driving scenarios without increasing the limited connectivity and sensing range. The training process of the parameter adaptation policy exploits a high-fidelity simulation framework that can simulate multiple vehicles with full powertrain models and the interactions between vehicles and their environment. We consider intersection-approaching scenarios where there is one traffic light with different signal phase and timing setup. Results show that the learned optimal policy enables the proposed intelligent speed optimization planner to properly adjust the parameters in a piecewise constant manner, leading to additional energy savings without increasing total travel time compared to the conventional speed optimization planner.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"gurumurthy-kockelman-auld-asystemofsharedautonomousvehiclesforchicago-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A system of shared autonomous vehicles for Chicago.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Gurumurthy, K. M.; Kockelman, K. M;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Transport and Land Use</i>, 14(1): 933–948.  2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/gurumurthy-kockelman-auld-asystemofsharedautonomousvehiclesforchicago-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('gurumurthy-kockelman-auld-asystemofsharedautonomousvehiclesforchicago-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{gurumurthy_system_2021,\n\ttitle = {A system of shared autonomous vehicles for {Chicago}},\n\tvolume = {14},\n\tnumber = {1},\n\tjournal = {Journal of Transport and Land Use},\n\tauthor = {Gurumurthy, Krishna Murthy and Kockelman, Kara M and Auld, Joshua},\n\tyear = {2021},\n\tpages = {933--948},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"parsa-shabanpour-mohammadian-auld-stephens-adatadrivenapproachtocharacterizetheimpactofconnectedandautonomousvehiclesontrafficflow-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Parsa, A. B.; Shabanpour, R.; Mohammadian, A.; Auld, J.;  and Stephens, T.\n</span>\n\n  \n\n</span>\n\n  <i>Transportation letters</i>, 13(10): 687–695.  2021.\n  <span class=\"note\">Publisher: Taylor & Francis</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/parsa-shabanpour-mohammadian-auld-stephens-adatadrivenapproachtocharacterizetheimpactofconnectedandautonomousvehiclesontrafficflow-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('parsa-shabanpour-mohammadian-auld-stephens-adatadrivenapproachtocharacterizetheimpactofconnectedandautonomousvehiclesontrafficflow-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{parsa_data-driven_2021,\n\ttitle = {A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow},\n\tvolume = {13},\n\tnumber = {10},\n\tjournal = {Transportation letters},\n\tauthor = {Parsa, Amir Bahador and Shabanpour, Ramin and Mohammadian, Abolfazl and Auld, Joshua and Stephens, Thomas},\n\tyear = {2021},\n\tnote = {Publisher: Taylor \\&amp; Francis},\n\tpages = {687--695},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bostanara-rashidi-auld-ghasri-acomparisonbetweenresidentialrelocationtimingofsydneyandchicagoresidentsabayesiansurvivalanalysis-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A comparison between residential relocation timing of Sydney and Chicago residents: A Bayesian survival analysis.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bostanara, M.; Rashidi, T. H.; Auld, J.;  and Ghasri, M.\n</span>\n\n  \n\n</span>\n\n  <i>Computers, Environment and Urban Systems</i>, 89: 101659.  2021.\n  <span class=\"note\">Publisher: Pergamon</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bostanara-rashidi-auld-ghasri-acomparisonbetweenresidentialrelocationtimingofsydneyandchicagoresidentsabayesiansurvivalanalysis-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bostanara-rashidi-auld-ghasri-acomparisonbetweenresidentialrelocationtimingofsydneyandchicagoresidentsabayesiansurvivalanalysis-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{bostanara_comparison_2021,\n\ttitle = {A comparison between residential relocation timing of {Sydney} and {Chicago} residents: {A} {Bayesian} survival analysis},\n\tvolume = {89},\n\tjournal = {Computers, Environment and Urban Systems},\n\tauthor = {Bostanara, Maryam and Rashidi, Taha Hossein and Auld, Joshua and Ghasri, Milad},\n\tyear = {2021},\n\tnote = {Publisher: Pergamon},\n\tpages = {101659},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S030505482030294X\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021', 'https://www.sciencedirect.com/science/article/pii/S030505482030294X', event);\">\n    Designing a drone delivery network with automated battery swapping machines.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cokyasar, T.; Dong, W.; Jin, M.;  and Verbas, İ. Ö.\n</span>\n\n  \n\n</span>\n\n  <i>Computers & Operations Research</i>, 129: 105177. May 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S030505482030294X\"\n     onclick=\"log_download('cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021', 'https://www.sciencedirect.com/science/article/pii/S030505482030294X', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Designing a drone delivery network with automated battery swapping machines [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.cor.2020.105177\"\n     onclick=\"log_download('cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021', 'http://doi.org/10.1016/j.cor.2020.105177', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cokyasar_designing_2021,\n\ttitle = {Designing a drone delivery network with automated battery swapping machines},\n\tvolume = {129},\n\tissn = {0305-0548},\n\turl = {https://www.sciencedirect.com/science/article/pii/S030505482030294X},\n\tdoi = {10.1016/j.cor.2020.105177},\n\tabstract = {Drones are projected to alter last-mile delivery, but their short travel range is a concern. This study proposes a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.},\n\tlanguage = {en},\n\turldate = {2023-08-01},\n\tjournal = {Computers \\&amp; Operations Research},\n\tauthor = {Cokyasar, Taner and Dong, Wenquan and Jin, Mingzhou and Verbas, İsmail Ömer},\n\tmonth = may,\n\tyear = {2021},\n\tkeywords = {Drone delivery, Mixed-integer nonlinear programming, Network optimization, Queueing theory},\n\tpages = {105177},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Drones are projected to alter last-mile delivery, but their short travel range is a concern. This study proposes a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"auld-verbas-desouza-enam-validatingpolarisridehailsimulationthroughbackcastinginchicago-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Validating POLARIS Ride-hail Simulation through Back-casting in Chicago.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Auld, J.; Verbas, O.; de Souza, F.;  and Enam, A.\n</span>\n\n  \n\n</span>\n\n  In Washington, D.C.,  2021. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/auld-verbas-desouza-enam-validatingpolarisridehailsimulationthroughbackcastinginchicago-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('auld-verbas-desouza-enam-validatingpolarisridehailsimulationthroughbackcastinginchicago-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{auld_validating_2021,\n\taddress = {Washington, D.C.},\n\ttitle = {Validating {POLARIS} {Ride}-hail {Simulation} through {Back}-casting in {Chicago}},\n\tauthor = {Auld, Joshua and Verbas, Omer and de Souza, Felipe and Enam, Annesha},\n\tyear = {2021},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"enam-desouza-verbas-stinson-auld-autonomousvehiclesandtransportationmodeling-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/B9780081026717103835\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'enam-desouza-verbas-stinson-auld-autonomousvehiclesandtransportationmodeling-2021', 'https://www.sciencedirect.com/science/article/pii/B9780081026717103835', event);\">\n    Autonomous Vehicles and Transportation Modeling.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Enam, A.; de Souza, F.; Verbas, O.; Stinson, M.;  and Auld, J.\n</span>\n\n  \n\n</span>\n\n  In Vickerman, R., editor(s), <i>International Encyclopedia of Transportation</i>, pages 557–563. Elsevier, Oxford, January 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/B9780081026717103835\"\n     onclick=\"log_download('enam-desouza-verbas-stinson-auld-autonomousvehiclesandtransportationmodeling-2021', 'https://www.sciencedirect.com/science/article/pii/B9780081026717103835', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Autonomous Vehicles and Transportation Modeling [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/B978-0-08-102671-7.10383-5\"\n     onclick=\"log_download('enam-desouza-verbas-stinson-auld-autonomousvehiclesandtransportationmodeling-2021', 'http://doi.org/10.1016/B978-0-08-102671-7.10383-5', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/enam-desouza-verbas-stinson-auld-autonomousvehiclesandtransportationmodeling-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('enam-desouza-verbas-stinson-auld-autonomousvehiclesandtransportationmodeling-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@incollection{enam_autonomous_2021,\n\taddress = {Oxford},\n\ttitle = {Autonomous {Vehicles} and {Transportation} {Modeling}},\n\tisbn = {978-0-08-102672-4},\n\turl = {https://www.sciencedirect.com/science/article/pii/B9780081026717103835},\n\tabstract = {The era of connected and automated vehicle (CAV) seems to be quickly approaching. The implications of CAV technology is often times speculated to be as disruptive as the consequences of the invention of automobile. CAV is thought to bring changes in every sector of transportation system—starting with the traffic flow characteristics, to the day-to-day travel behavior, distribution of land use, as well as changes in mechanisms for system level control. However, there exists wide range of uncertainties about the factors relating to CAV deployment, operation and adoption. As a result considerable research has been undertaken to understand the implications of different ranges of assumption on travel demand, regional mobility, energy use, and emissions using a variety of transportation models. This paper provides a concise summary of the broad range of assumptions related to CAV deployment, and their implications on regional mobility. The paper also attempts to identify different modeling techniques adopted to study CAV implications. The paper concludes with a narration of the limitations of the existing studies and the scope for future research.},\n\tlanguage = {en},\n\turldate = {2023-08-01},\n\tbooktitle = {International {Encyclopedia} of {Transportation}},\n\tpublisher = {Elsevier},\n\tauthor = {Enam, Annesha and de Souza, Felipe and Verbas, Omer and Stinson, Monique and Auld, Joshua},\n\teditor = {Vickerman, Roger},\n\tmonth = jan,\n\tyear = {2021},\n\tdoi = {10.1016/B978-0-08-102671-7.10383-5},\n\tkeywords = {Activity-based modeling, Autonomous vehicles, Land use, Modeling, Simulation, System control, Traffic flow, Travel demand},\n\tpages = {557--563},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The era of connected and automated vehicle (CAV) seems to be quickly approaching. The implications of CAV technology is often times speculated to be as disruptive as the consequences of the invention of automobile. CAV is thought to bring changes in every sector of transportation system—starting with the traffic flow characteristics, to the day-to-day travel behavior, distribution of land use, as well as changes in mechanisms for system level control. However, there exists wide range of uncertainties about the factors relating to CAV deployment, operation and adoption. As a result considerable research has been undertaken to understand the implications of different ranges of assumption on travel demand, regional mobility, energy use, and emissions using a variety of transportation models. This paper provides a concise summary of the broad range of assumptions related to CAV deployment, and their implications on regional mobility. The paper also attempts to identify different modeling techniques adopted to study CAV implications. The paper concludes with a narration of the limitations of the existing studies and the scope for future research.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S030505482030294X\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021', 'https://www.sciencedirect.com/science/article/pii/S030505482030294X', event);\">\n    Designing a drone delivery network with automated battery swapping machines.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cokyasar, T.; Dong, W.; Jin, M.;  and Verbas, İ. Ö.\n</span>\n\n  \n\n</span>\n\n  <i>Computers & Operations Research</i>, 129: 105177. May 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S030505482030294X\"\n     onclick=\"log_download('cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021', 'https://www.sciencedirect.com/science/article/pii/S030505482030294X', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Designing a drone delivery network with automated battery swapping machines [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.cor.2020.105177\"\n     onclick=\"log_download('cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021', 'http://doi.org/10.1016/j.cor.2020.105177', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cokyasar-dong-jin-verbas-designingadronedeliverynetworkwithautomatedbatteryswappingmachines-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cokyasar_designing_2021-1,\n\ttitle = {Designing a drone delivery network with automated battery swapping machines},\n\tvolume = {129},\n\tissn = {0305-0548},\n\turl = {https://www.sciencedirect.com/science/article/pii/S030505482030294X},\n\tdoi = {10.1016/j.cor.2020.105177},\n\tabstract = {Drones are projected to alter last-mile delivery, but their short travel range is a concern. This study proposes a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.},\n\tlanguage = {en},\n\turldate = {2023-08-01},\n\tjournal = {Computers \\&amp; Operations Research},\n\tauthor = {Cokyasar, Taner and Dong, Wenquan and Jin, Mingzhou and Verbas, İsmail Ömer},\n\tmonth = may,\n\tyear = {2021},\n\tkeywords = {Drone delivery, Mixed-integer nonlinear programming, Network optimization, Queueing theory},\n\tpages = {105177},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Drones are projected to alter last-mile delivery, but their short travel range is a concern. This study proposes a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2007\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2007')\"\n      onkeypress=\"toggleGroup('group_2007')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2007</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"leclercq-laval-chevallier-thelagrangiancoordinatesandwhatitmeansforfirstordertrafficflowmodels-2007\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://trid.trb.org/View/820161\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'leclercq-laval-chevallier-thelagrangiancoordinatesandwhatitmeansforfirstordertrafficflowmodels-2007', 'https://trid.trb.org/View/820161', event);\">\n    The Lagrangian Coordinates and What it Means for First Order Traffic Flow Models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Leclercq, L.; Laval, J. A.;  and Chevallier, E.\n</span>\n\n  \n\n</span>\n\n  In  2007. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://trid.trb.org/View/820161\"\n     onclick=\"log_download('leclercq-laval-chevallier-thelagrangiancoordinatesandwhatitmeansforfirstordertrafficflowmodels-2007', 'https://trid.trb.org/View/820161', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"The Lagrangian Coordinates and What it Means for First Order Traffic Flow Models [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/leclercq-laval-chevallier-thelagrangiancoordinatesandwhatitmeansforfirstordertrafficflowmodels-2007\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('leclercq-laval-chevallier-thelagrangiancoordinatesandwhatitmeansforfirstordertrafficflowmodels-2007')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{leclercq_lagrangian_2007,\n\ttitle = {The {Lagrangian} {Coordinates} and {What} it {Means} for {First} {Order} {Traffic} {Flow} {Models}},\n\tisbn = {978-0-08-045375-0},\n\turl = {https://trid.trb.org/View/820161},\n\turldate = {2024-01-31},\n\tauthor = {Leclercq, Ludovic and Laval, Jorge Andres and Chevallier, Estelle},\n\tyear = {2007},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yperman-thelinktransmissionmodelfordynamicnetworkloading-2007\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://lirias.kuleuven.be/1749225\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yperman-thelinktransmissionmodelfordynamicnetworkloading-2007', 'https://lirias.kuleuven.be/1749225', event);\">\n    The Link Transmission Model for dynamic network loading.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yperman, I.\n</span>\n\n  \n\n</span>\n\n  . June 2007.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://lirias.kuleuven.be/1749225\"\n     onclick=\"log_download('yperman-thelinktransmissionmodelfordynamicnetworkloading-2007', 'https://lirias.kuleuven.be/1749225', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"The Link Transmission Model for dynamic network loading [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yperman-thelinktransmissionmodelfordynamicnetworkloading-2007\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yperman-thelinktransmissionmodelfordynamicnetworkloading-2007')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{yperman_link_2007,\n\ttitle = {The {Link} {Transmission} {Model} for dynamic network loading},\n\turl = {https://lirias.kuleuven.be/1749225},\n\tabstract = {Dynamische verkeerstoedelingsmodellen worden gebruikt om de impact van infrastructuuraanpassingen in verkeersnetwerken te voorspellen en om de effecten van informatieverstrekking en verkeesbeheersingsmaatregelen in te schatten. Een verkeerssimulatiemodel is een basiscomponent van het dynamisch toedelingsmodel. In dit eindwerk wordt een verkeerssimulatiemodel ontwikkeld. Het Link Transmissie Model simuleert verkeersstromen in grote feitelijke netwerken die zowel snelwegen als stedelijke regio’s omvatten. Het gemodelleerde file-opbouw en file-afbouw proces sluit nauwer aan bij de realiteit dan in state-of-the-art macroscopische verkeerstoedelingsmodellen. Op kruispunten worden lokale capaciteitsbeperkingen en knoopvertragingen gedetailleerd in rekening gebracht. Het Link Transmissie Model stoelt op een rekenefficiënt algoritme waardoor verkeersstromen in grote netwerken gesimuleerd kunnen worden in een beperkte rekentijd},\n\tlanguage = {dut},\n\turldate = {2024-01-31},\n\tauthor = {Yperman, Isaak},\n\tmonth = jun,\n\tyear = {2007},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Dynamische verkeerstoedelingsmodellen worden gebruikt om de impact van infrastructuuraanpassingen in verkeersnetwerken te voorspellen en om de effecten van informatieverstrekking en verkeesbeheersingsmaatregelen in te schatten. Een verkeerssimulatiemodel is een basiscomponent van het dynamisch toedelingsmodel. In dit eindwerk wordt een verkeerssimulatiemodel ontwikkeld. Het Link Transmissie Model simuleert verkeersstromen in grote feitelijke netwerken die zowel snelwegen als stedelijke regio’s omvatten. Het gemodelleerde file-opbouw en file-afbouw proces sluit nauwer aan bij de realiteit dan in state-of-the-art macroscopische verkeerstoedelingsmodellen. Op kruispunten worden lokale capaciteitsbeperkingen en knoopvertragingen gedetailleerd in rekening gebracht. Het Link Transmissie Model stoelt op een rekenefficiënt algoritme waardoor verkeersstromen in grote netwerken gesimuleerd kunnen worden in een beperkte rekentijd\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_1992\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_1992')\"\n      onkeypress=\"toggleGroup('group_1992')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>1992</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"holland-complexadaptivesystems-1992\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.jstor.org/stable/20025416\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'holland-complexadaptivesystems-1992', 'https://www.jstor.org/stable/20025416', event);\">\n    Complex Adaptive Systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Holland, J. H.\n</span>\n\n  \n\n</span>\n\n  <i>Daedalus</i>, 121(1): 17–30.  1992.\n  <span class=\"note\">Publisher: The MIT Press</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.jstor.org/stable/20025416\"\n     onclick=\"log_download('holland-complexadaptivesystems-1992', 'https://www.jstor.org/stable/20025416', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Complex Adaptive Systems [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/holland-complexadaptivesystems-1992\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('holland-complexadaptivesystems-1992')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{holland_complex_1992,\n\ttitle = {Complex {Adaptive} {Systems}},\n\tvolume = {121},\n\tissn = {0011-5266},\n\turl = {https://www.jstor.org/stable/20025416},\n\tnumber = {1},\n\turldate = {2023-08-02},\n\tjournal = {Daedalus},\n\tauthor = {Holland, John H.},\n\tyear = {1992},\n\tnote = {Publisher: The MIT Press},\n\tpages = {17--30},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ofenergy-justice40initiative\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.energy.gov/justice/justice40-initiative\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ofenergy-justice40initiative', 'https://www.energy.gov/justice/justice40-initiative', event);\">\n    Justice40 Initiative.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  of Energy, D.\n</span>\n\n  \n\n</span>\n\n   \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.energy.gov/justice/justice40-initiative\"\n     onclick=\"log_download('ofenergy-justice40initiative', 'https://www.energy.gov/justice/justice40-initiative', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Justice40 Initiative [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ofenergy-justice40initiative\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ofenergy-justice40initiative')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@misc{department_of_energy_justice40_nodate,\n\ttitle = {Justice40 {Initiative}},\n\turl = {https://www.energy.gov/justice/justice40-initiative},\n\tabstract = {On January 27, 2021, President Biden issued Executive Order 14008, Tackling the Climate Crisis at Home and Abroad. Section 223 of that EO establishes the Justice40 Initiative, which directs 40\\% of the overall benefits of certain...},\n\tlanguage = {en},\n\turldate = {2024-02-01},\n\tjournal = {Energy.gov},\n\tauthor = {Department of Energy},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  On January 27, 2021, President Biden issued Executive Order 14008, Tackling the Climate Crisis at Home and Abroad. Section 223 of that EO establishes the Justice40 Initiative, which directs 40% of the overall benefits of certain...\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);