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\n\n \n \n \n \n \n Development of an Interface between Signal Controller and Traffic Simulator.\n \n \n \n\n\n \n Bajpai, A.; and Mathew, T. V\n\n\n \n\n\n\n In
1st Conference of Transportation Research Group of India, 12 2011. Transportation Research Group of India\n
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@inproceedings{Bajpai2011,\n\tauthor = {Ashutosh Bajpai and Tom V Mathew},\n\tbooktitle = {1st Conference of Transportation Research Group of India},\n\ttitle = {Development of an Interface between Signal Controller and Traffic Simulator},\n\tyear = {2011},\n\tmonth = {12},\n\torganization = {Transportation Research Group of India},\n\tabstract = {Adaptive Traffic Control algorithm is an important strategy to manage\n\ttraffic at an intersection. These are an improvement of vehicle actuated\n\tsignal control, where explicitly strategies are formulated to compute\n\tthe signal timing considering the current traffic state obtained\n\tfrom sensors. However, field evaluation of these strategies is cumbersome\n\tand expensive and hence simulators which model traffic system can\n\tbe a good alternative. The main challenge in this is a good interface\n\tbetween the signal control system and the traffic simulators. The\n\tsignal control system needs the state of the junction in terms of\n\tvehicle occupancy at every instant. On the other hand, traffic simulator\n\tneeds information on whether the signal state has changed. This two\n\tway communication requires an efficient interface which is similar\n\tto client-server architecture. The simulator acts as the server where\n\tas the adaptive control strategy act like client. This paper proposes\n\tan efficient interface to couple adaptive control strategy and traffic\n\tsimulator. This interface mediates between traffic control system\n\tand traffic simulator and provides online interaction to simulation\n\tfrom the control strategy. This interface facilitates pure procedural\n\troutines to communicate and is written in C language along with Python/C\n\tAPI. Additionally, a module to estimate the vehicular delay due to\n\tthe control strategy is developed. This delay is estimated by defining\n\teffective length of queue, which is provided as a user input.\n\n\n\tThis interface is tested using SUMO (Simulation for Urban Mobility),\n\twhich is an open source, microscopic, space continuous and time discrete\n\tsimulator developed by German Aerospace Centre. The traffic control\n\tstrategy is analogous to the HCM vehicle actuated traffic control\n\texcept that there is a queue prediction model which computes upper\n\tlimits on the maximum green time. An isolated four arm junction having\n\tfour phases is simulated for various flow conditions. The simulator\n\tsupplied the state of the downstream detector to the traffic control\n\talgorithm at every simulation step and the control algorithm determines\n\tthe signal time strategies (phase termination, green extension, and\n\tmaximum green time). These strategies are communicated to the simulator.\n\tThese communications were facilitated by the proposed interface.\n\tThe average stopped delay is computed as the performance parameter.\n\tThe interface was also coupled with another traffic simulator (VISSIM)\n\tand the results are compared. This interface justifies the concept\n\tof reusability by the evaluation of number of control strategy.},\n\tfile = {:https\\://sumo.dlr.de/pdf/CTRG_Interface-SUMO.pdf:URL},\n\tgroups = {used, TLS, IIT Bombay, assigned2groups},\n\tkeywords = {Traffic simulator, Signal controller, Procedural Interface, SUMO (Simulation of Urban Mobility), VISSIM (Verkehr In St�dten - SIMulationsmodell)},\n\towner = {dkrajzew},\n\ttimestamp = {2012.02.07}\n}\n\n\n
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\n Adaptive Traffic Control algorithm is an important strategy to manage traffic at an intersection. These are an improvement of vehicle actuated signal control, where explicitly strategies are formulated to compute the signal timing considering the current traffic state obtained from sensors. However, field evaluation of these strategies is cumbersome and expensive and hence simulators which model traffic system can be a good alternative. The main challenge in this is a good interface between the signal control system and the traffic simulators. The signal control system needs the state of the junction in terms of vehicle occupancy at every instant. On the other hand, traffic simulator needs information on whether the signal state has changed. This two way communication requires an efficient interface which is similar to client-server architecture. The simulator acts as the server where as the adaptive control strategy act like client. This paper proposes an efficient interface to couple adaptive control strategy and traffic simulator. This interface mediates between traffic control system and traffic simulator and provides online interaction to simulation from the control strategy. This interface facilitates pure procedural routines to communicate and is written in C language along with Python/C API. Additionally, a module to estimate the vehicular delay due to the control strategy is developed. This delay is estimated by defining effective length of queue, which is provided as a user input. This interface is tested using SUMO (Simulation for Urban Mobility), which is an open source, microscopic, space continuous and time discrete simulator developed by German Aerospace Centre. The traffic control strategy is analogous to the HCM vehicle actuated traffic control except that there is a queue prediction model which computes upper limits on the maximum green time. An isolated four arm junction having four phases is simulated for various flow conditions. The simulator supplied the state of the downstream detector to the traffic control algorithm at every simulation step and the control algorithm determines the signal time strategies (phase termination, green extension, and maximum green time). These strategies are communicated to the simulator. These communications were facilitated by the proposed interface. The average stopped delay is computed as the performance parameter. The interface was also coupled with another traffic simulator (VISSIM) and the results are compared. This interface justifies the concept of reusability by the evaluation of number of control strategy.\n
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\n\n \n \n \n \n \n \n SUMO - Simulation of Urban MObility: An Overview.\n \n \n \n \n\n\n \n Behrisch, M.; Bieker, L.; Erdmann, J.; and Krajzewicz, D.\n\n\n \n\n\n\n In of Oslo Aida Omerovic, S. & U.; Simoni, R. I. - R. T. P. D. A.; and Bobashev, R. I. - R. T. P. G., editor(s),
SIMUL 2011, The Third International Conference on Advances in System Simulation, pages 63-68, Barcelona, Spain, October 2011. ThinkMind\n
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@inproceedings{Behrisch2011,\n\tauthor = {Michael Behrisch and Laura Bieker and Jakob Erdmann and Daniel Krajzewicz},\n\tbooktitle = {SIMUL 2011, The Third International Conference on Advances in System Simulation},\n\ttitle = {SUMO - Simulation of Urban MObility: An Overview},\n\tyear = {2011},\n\taddress = {Barcelona, Spain},\n\teditor = {SINTEF \\& University of Oslo Aida Omerovic and RTI International - Research Triangle Park Diglio A. Simoni and RTI International - Research Triangle Park Georgiy Bobashev},\n\tmonth = {October},\n\tpages = {63-68},\n\tpublisher = {ThinkMind},\n\tabstract = {SUMO is an open source traffic simulation package including net import\n\tand demand modeling components. We describe the current state of\n\tthe package as well as future developments and extensions. SUMO helps\n\tto investigate several research topics e.g. route choice and traffic\n\tlight algorithm or simulating vehicular communication. Therefore\n\tthe framework is used in different projects to simulate automatic\n\tdriving or traffic management strategies.},\n\tgroups = {presentation, simulation packages, TS, assigned2groups},\n\tjournal = {Proceedings of SIMUL 2011, The Third International Conference on Advances in System Simulation},\n\tkeywords = {microscopic traffic simulation, software, open source},\n\towner = {Daniel},\n\ttimestamp = {2011.12.02},\n\turl = {http://elib.dlr.de/71460/}\n}\n\n\n
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\n SUMO is an open source traffic simulation package including net import and demand modeling components. We describe the current state of the package as well as future developments and extensions. SUMO helps to investigate several research topics e.g. route choice and traffic light algorithm or simulating vehicular communication. Therefore the framework is used in different projects to simulate automatic driving or traffic management strategies.\n
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\n\n \n \n \n \n \n \n Ecological User Equilibrium?.\n \n \n \n \n\n\n \n Behrisch, M.; Flötteröd, Y.; Krajzewicz, D.; and Wagner, P.\n\n\n \n\n\n\n In
DTA 2012, November 2011. \n
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@inproceedings{dlr71870,\n\tauthor = {Michael Behrisch and Yun-Pang Fl\\"otter\\"od and Daniel Krajzewicz and Peter Wagner},\n\tbooktitle = {DTA 2012},\n\ttitle = {Ecological User Equilibrium?},\n\tyear = {2011},\n\tmonth = {November},\n\tabstract = {With increasing environmental sustainability awareness significant\n\tattention on ecological traffic management (eco-TM) has come into\n\tthe focus of researchers and practitioners. While different approaches\n\thave been applied to reach minimal pollutant production, the classic\n\tuser equilibrium calculation with the pollutant production as travel\n\tcosts instead of using travel times remains in the center of attention.\n\tHowever, the validity of such a direct transformation to find a user\n\tequilibrium is questionable. In this paper, a simplified analytical\n\tapproach to examine the above aforementioned validity has been carried\n\tout, followed by a simulation approach to verify the results of the\n\tanalytical approach. The initial result shows that the pollutant\n\tproduction function violates the usual assumption of a monotonous\n\tfunction (typically, emission has a minimum at travel speeds around\n\t\\unit[60]{km/h} ). This means that substantial modifications to the\n\talgorithms that compute the user equilibrium have to be discussed\n\tsince they do not work as intended when pollutant production is used\n\tas travel costs, especially in a transportation system with mixed\n\tspeeds that cover a range around the minimum emission speed.},\n\tgroups = {pollution},\n\tkeywords = {eco traffic management, dynamic traffic assignment, user equilibrium},\n\towner = {dkrajzew},\n\ttimestamp = {2012.09.18},\n\turl = {http://elib.dlr.de/71870/}\n}\n\n\n
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\n With increasing environmental sustainability awareness significant attention on ecological traffic management (eco-TM) has come into the focus of researchers and practitioners. While different approaches have been applied to reach minimal pollutant production, the classic user equilibrium calculation with the pollutant production as travel costs instead of using travel times remains in the center of attention. However, the validity of such a direct transformation to find a user equilibrium is questionable. In this paper, a simplified analytical approach to examine the above aforementioned validity has been carried out, followed by a simulation approach to verify the results of the analytical approach. The initial result shows that the pollutant production function violates the usual assumption of a monotonous function (typically, emission has a minimum at travel speeds around ˘nit[60]km/h ). This means that substantial modifications to the algorithms that compute the user equilibrium have to be discussed since they do not work as intended when pollutant production is used as travel costs, especially in a transportation system with mixed speeds that cover a range around the minimum emission speed.\n
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\n\n \n \n \n \n \n \n Emergency Vehicle Prioritization using Vehicle-To-Vehicle Communication.\n \n \n \n \n\n\n \n Bieker, L.\n\n\n \n\n\n\n In
Young Researchers Seminar, Juni 2011. \n
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@inproceedings{Bieker2011a,\n\tauthor = {Laura Bieker},\n\tbooktitle = {Young Researchers Seminar},\n\ttitle = {Emergency Vehicle Prioritization using Vehicle-To-Vehicle Communication},\n\tyear = {2011},\n\tmonth = {Juni},\n\tabstract = {Emergency vehicles need to reach their destination as fast as possible.\n\tThey deserve the highest priority at intersections. Therefore, they\n\tare allowed to use bus lanes and pass red lights at traffic light\n\tsystems. Nevertheless, for emergency vehicles it is still quicker\n\tand safer to get priority at the approaching intersection. This paper\n\tanalyses how the travel time of emergency vehicles can be improved\n\tby using vehicle-to-infrastructure (V2I) communication. Emergency\n\tvehicles are sending messages with their route information and their\n\tcurrent position. The traffic lights which have to be passed can\n\tswitch to green for emergency vehicles and to red for all other streets.\n\tThe traffic lights continue the normal operation after the emergency\n\tvehicle has passed the intersection. Simulation results show that\n\temergency vehicles can reach their destination faster.},\n\tgroups = {used, iTETRIS, emergency, TLS, TS, assigned2groups},\n\tkeywords = {V2I communication, Emergency vehicle, traffic management, traffic simulation},\n\towner = {Daniel},\n\ttimestamp = {2011.12.02},\n\turl = {http://elib.dlr.de/70219/}\n}\n\n\n
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\n Emergency vehicles need to reach their destination as fast as possible. They deserve the highest priority at intersections. Therefore, they are allowed to use bus lanes and pass red lights at traffic light systems. Nevertheless, for emergency vehicles it is still quicker and safer to get priority at the approaching intersection. This paper analyses how the travel time of emergency vehicles can be improved by using vehicle-to-infrastructure (V2I) communication. Emergency vehicles are sending messages with their route information and their current position. The traffic lights which have to be passed can switch to green for emergency vehicles and to red for all other streets. The traffic lights continue the normal operation after the emergency vehicle has passed the intersection. Simulation results show that emergency vehicles can reach their destination faster.\n
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\n\n \n \n \n \n \n \n Evaluation of opening Bus Lanes for private Traffic triggered via V2X Communication.\n \n \n \n \n\n\n \n Bieker, L.; and Krajzewicz, D.\n\n\n \n\n\n\n In
First Forum on Integrated and Sustainable Transportation Systems (FISTS), Juni 2011. \n
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@inproceedings{Bieker2011,\n\tauthor = {Laura Bieker and Daniel Krajzewicz},\n\tbooktitle = {First Forum on Integrated and Sustainable Transportation Systems (FISTS)},\n\ttitle = {Evaluation of opening Bus Lanes for private Traffic triggered via V2X Communication},\n\tyear = {2011},\n\tmonth = {Juni},\n\tabstract = {Within the EC project ?iTETRIS?, an architecture for simulating traffic\n\tmanagement applications based on vehicular communications (V2X) was\n\tdesigned and implemented. The work was based on evaluating the needs\n\tof a real city ? the city of Bologna. Applications which try to solve\n\tthe detected problems were defined and evaluated in subsequent steps.\n\tThis report describes the evaluation of one of the developed applications,\n\tnamely ?Bus Lane Management?. It was analyzed whether it is possible\n\tto detect the traffic demand via V2X communication and open bus lanes\n\tfor private vehicles. It turned out that this could be done efficiently:\n\tdedicating the free space on the bus lanes improves the average travel\n\ttimes and route lengths of all vehicles. However, this is true only\n\tif the penetration rates stay well below 50%. If more vehicles try\n\tto benefit, the situation deteriorates readily.},\n\tgroups = {used, iTETRIS, public transport, surveillance, TS, assigned2groups},\n\tkeywords = {traffc simulation, bus lane management, V2V communication},\n\towner = {Daniel},\n\ttimestamp = {2011.12.02},\n\turl = {http://elib.dlr.de/70220/}\n}\n\n\n
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\n Within the EC project ?iTETRIS?, an architecture for simulating traffic management applications based on vehicular communications (V2X) was designed and implemented. The work was based on evaluating the needs of a real city ? the city of Bologna. Applications which try to solve the detected problems were defined and evaluated in subsequent steps. This report describes the evaluation of one of the developed applications, namely ?Bus Lane Management?. It was analyzed whether it is possible to detect the traffic demand via V2X communication and open bus lanes for private vehicles. It turned out that this could be done efficiently: dedicating the free space on the bus lanes improves the average travel times and route lengths of all vehicles. However, this is true only if the penetration rates stay well below 50%. If more vehicles try to benefit, the situation deteriorates readily.\n
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\n\n \n \n \n \n \n \n Simulative Untersuchung und Bewertung Vehicle-to-Infrastructure basierter Anfahrstrategien an Lichtsignalanlagen.\n \n \n \n \n\n\n \n D�ring, M.\n\n\n \n\n\n\n 07 2011.\n
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@misc{Duering2011,\n\tauthor = {Michael D�ring},\n\tmonth = {07},\n\ttitle = {Simulative Untersuchung und Bewertung Vehicle-to-Infrastructure basierter Anfahrstrategien an Lichtsignalanlagen},\n\tyear = {2011},\n\tabstract = {Das Institut f�r Verkehrssystemtechnik im Deutschen Zentrum f�r Luft-\n\tund Raumfahrt e.V.\n\n\t(DLR) besch�ftigt sich, unter anderem, mit der Entwicklung und Evaluation\n\tvon Fahrerassistenzsystemen.\n\n\tIn diesem Zusammenhang ist das DLR Mitglied im Car-2-Car Communication\n\n\tConsortium, welches eine f�hrende Rolle bei der Erarbeitung von Standards\n\t(IEEE\n\n\t802.11p) f�r die drahtlose �bertragung von Informationen zwischen\n\tFahrzeugen sowie\n\n\tFahrzeugen und kooperativer Verkehrsinfrastruktur definiert. Erste\n\tDemonstrationen zeigen\n\n\tden sinnvollen Einsatz dieser Technologie f�r k�nftige Fahrerassistenzsysteme.\n\tDas\n\n\tZiel dieser Systeme ist es die Sicherheit und die Effizienz im Stra�enverkehr\n\tweiter zu\n\n\terh�hen.\n\n\n\tIm Entwicklungsprozess von Assistenz- und Automationssystemen werden\n\tverschiedene\n\n\tSchritte, beginnend bei Simulationsstudien zur Absch�tzung der Auswirkungen\n\teines neuartigen\n\n\tSystems im Verkehr bis hin zur Evaluation von Prototypen in Feldversuchen,\n\n\tdurchlaufen. In der vorliegenden Arbeit wird das Anfahrverhalten von\n\t50 Fahrzeugen simuliert,\n\n\tdie sich in einem R�ckstau vor einer Lichtsignalanlage (LSA) befinden.\n\tDer Aufbau\n\n\tder Simulation besteht aus einer LSA gesteuerten Kreuzung, deren einzige\n\tFahrtrichtung\n\n\tjeweils die Geradeausfahrt ist. Als Simulationsumgebung wird SUMO\n\tverwendet.\n\n\n\tDas Ziel der Arbeit ist die Untersuchung und Auswertung von drei unterschiedlichen\n\tAnfahrszenarien.\n\n\tZum einen wird das derzeitige Anfahrverhalten abgebildet. Zum anderen\n\n\twerden zwei Fahrerassistenzsysteme betrachtet. Ein Assistenzsystem\n\tunterst�tzt den\n\n\tFahrer, indem ihm die Restzeit der Rotphase angezeigt wird bzw. indem\n\tder Assistent den\n\n\tFahrer beim Beschleunigungsvorgang unterst�tzt. Der andere Assistent\n\t�bernimmt vollautomatisch\n\n\tdie L�ngsf�hrung der Fahrzeuge. F�r die beiden Assistenten wird die\n\tVehicleto-\n\n\tX Technologie mit einer Durchdringungsrate von 100% vorausgesetzt.\n\n\n\tEs wird gezeigt, dass durch die Variation der Anfahrstrategie sowohl\n\teine Verringerung\n\n\tder Aufenthaltsdauer des letzten Fahrzeugs in der Simulation (im Folgenden\n\tSimulationszeit)\n\n\tvon 25% bis 85% als auch die Reduzierung der Anzahl der Gr�nphasen\n\tder LSA zum\n\n\tR�umen der Kreuzung von 14 auf 4 m�glich ist. Die Einsparungsm�glichkeiten\n\thinsichtlich\n\n\tdes Kraftstoffverbrauchs liegen zwischen 21% und 94%. Weiterhin wurden\n\tmit der Gr�nphasendauer\n\n\tund dem Beschleunigungswert zwei Parameter identifiziert, die bedeutenden\n\n\tEinfluss auf den Ablauf der Simulation und das Potential zur Reduzierung\n\tder Simulationszeit\n\n\tund des Kraftstoffverbrauchs bzw. der Emission haben.},\n\tfile = {pdf:http\\://elib.dlr.de/70524/1/Studienarbeit_Michael_D%C3%BCring_110726.pdf:URL},\n\tgroups = {used, TLS, ADAS, TS, TU BS, assigned2groups},\n\tkeywords = {Lichtsignalanlagen, Anfahren, V2X, TLS, DLR/TS/VM},\n\towner = {dkrajzew},\n\ttimestamp = {2011.11.23},\n\turl = {http://elib.dlr.de/70524/}\n}\n\n\n
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\n Das Institut f�r Verkehrssystemtechnik im Deutschen Zentrum f�r Luft- und Raumfahrt e.V. (DLR) besch�ftigt sich, unter anderem, mit der Entwicklung und Evaluation von Fahrerassistenzsystemen. In diesem Zusammenhang ist das DLR Mitglied im Car-2-Car Communication Consortium, welches eine f�hrende Rolle bei der Erarbeitung von Standards (IEEE 802.11p) f�r die drahtlose �bertragung von Informationen zwischen Fahrzeugen sowie Fahrzeugen und kooperativer Verkehrsinfrastruktur definiert. Erste Demonstrationen zeigen den sinnvollen Einsatz dieser Technologie f�r k�nftige Fahrerassistenzsysteme. Das Ziel dieser Systeme ist es die Sicherheit und die Effizienz im Stra�enverkehr weiter zu erh�hen. Im Entwicklungsprozess von Assistenz- und Automationssystemen werden verschiedene Schritte, beginnend bei Simulationsstudien zur Absch�tzung der Auswirkungen eines neuartigen Systems im Verkehr bis hin zur Evaluation von Prototypen in Feldversuchen, durchlaufen. In der vorliegenden Arbeit wird das Anfahrverhalten von 50 Fahrzeugen simuliert, die sich in einem R�ckstau vor einer Lichtsignalanlage (LSA) befinden. Der Aufbau der Simulation besteht aus einer LSA gesteuerten Kreuzung, deren einzige Fahrtrichtung jeweils die Geradeausfahrt ist. Als Simulationsumgebung wird SUMO verwendet. Das Ziel der Arbeit ist die Untersuchung und Auswertung von drei unterschiedlichen Anfahrszenarien. Zum einen wird das derzeitige Anfahrverhalten abgebildet. Zum anderen werden zwei Fahrerassistenzsysteme betrachtet. Ein Assistenzsystem unterst�tzt den Fahrer, indem ihm die Restzeit der Rotphase angezeigt wird bzw. indem der Assistent den Fahrer beim Beschleunigungsvorgang unterst�tzt. Der andere Assistent �bernimmt vollautomatisch die L�ngsf�hrung der Fahrzeuge. F�r die beiden Assistenten wird die Vehicleto- X Technologie mit einer Durchdringungsrate von 100% vorausgesetzt. Es wird gezeigt, dass durch die Variation der Anfahrstrategie sowohl eine Verringerung der Aufenthaltsdauer des letzten Fahrzeugs in der Simulation (im Folgenden Simulationszeit) von 25% bis 85% als auch die Reduzierung der Anzahl der Gr�nphasen der LSA zum R�umen der Kreuzung von 14 auf 4 m�glich ist. Die Einsparungsm�glichkeiten hinsichtlich des Kraftstoffverbrauchs liegen zwischen 21% und 94%. Weiterhin wurden mit der Gr�nphasendauer und dem Beschleunigungswert zwei Parameter identifiziert, die bedeutenden Einfluss auf den Ablauf der Simulation und das Potential zur Reduzierung der Simulationszeit und des Kraftstoffverbrauchs bzw. der Emission haben.\n
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\n\n \n \n \n \n \n \n Identifiability and practical relevance of complex car-following models.\n \n \n \n \n\n\n \n Flötteröd, G.; Wagner, P.; and Wang, Y.\n\n\n \n\n\n\n In
Traffic And Granular Flow, September 2011. \n
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@inproceedings{dlr72232,\n\tauthor = {Gunnar Fl{\\"o}tter{\\"o}d and Peter Wagner and Yun-Pang Wang},\n\tbooktitle = {Traffic And Granular Flow},\n\ttitle = {Identifiability and practical relevance of complex car-following models},\n\tyear = {2011},\n\tmonth = {September},\n\tabstract = {This article looks at car-following models with a deliberately pragmatic\n\tperspective: What information about driver behavior can be extracted\n\tfrom a given data set without more or less speculative assumptions\n\tabout underlying behavioral laws. The objective of this exercise\n\tis not to invalidate existing models but to obtain a better understanding\n\tof how much (complex) model structure can be revealed/validated from\n\treal data.},\n\tgroups = {pollution},\n\tkeywords = {car following models, ARIMA, calibration},\n\towner = {dkrajzew},\n\ttimestamp = {2014.01.08},\n\turl = {http://elib.dlr.de/72232/}\n}\n\n\n
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\n This article looks at car-following models with a deliberately pragmatic perspective: What information about driver behavior can be extracted from a given data set without more or less speculative assumptions about underlying behavioral laws. The objective of this exercise is not to invalidate existing models but to obtain a better understanding of how much (complex) model structure can be revealed/validated from real data.\n
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\n\n \n \n \n \n \n \n Modeling and Simulating ITS Applications with iTETRIS.\n \n \n \n \n\n\n \n Härri, J.; Cataldi, P.; Krajzewicz, D.; Blokpoel, R. J.; Lopez, Y.; and Leguay, J.\n\n\n \n\n\n\n In
MSWiM'11, 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Oktober 2011. \n
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@inproceedings{Harri2011,\n\tauthor = {J\\'er\\^ome H\\"arri and Pasquale Cataldi and Daniel Krajzewicz and Robbin J. Blokpoel and Yoann Lopez and Jeremie Leguay},\n\tbooktitle = {MSWiM'11, 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems},\n\ttitle = {Modeling and Simulating ITS Applications with iTETRIS},\n\tyear = {2011},\n\tmonth = {Oktober},\n\tabstract = {his work presents the modeling methodology of the iTETRIS platform\n\tto integrate and simulate ITS applications. iTETRIS is a modular\n\tand open-source simulation platform composed of four key modules:\n\tthe network simulator ns-3, the traffic simulator SUMO, an ITS (Intelligent\n\tTransportation System) application simulator, and a central federating\n\tmodule called iCS. Our contribution is twofold: First, we propose\n\ta methodology to model and simulate ITS applications with iTETRIS\n\taround three main mechanisms: (i) message management with generic\n\topen APIs based on subscription/result container mechanisms (ii)\n\tdata management with the integration of an application facilities\n\tlayer in the iCS, including a local dynamic map (LDM), (iii) application\n\tmanagement with an ITS application simulator including one or more\n\tapplication logics. Second, we apply this methodology to implement\n\tthe following four ITS applications: dynamic route planning, bus\n\tlane management, emergency vehicle, and contextual speed adaptation.\n\tWe describe their integrations in iTETRIS, including a characterization\n\tof their interactions with the iCS, and illustrate the benefits of\n\tthese ITS applications on traffic efficiency, gasoline consumption,\n\tor air pollutant emissions.},\n\tgroups = {mentioned, iTETRIS, communication models, ns-3, TS, Peek Traffic, EURECOM, Thales, assigned2groups},\n\tkeywords = {Intelligent Transportation Systems (ITS), Simulation Platform, ITS Application, iTETRIS, Performance Evaluation},\n\towner = {Daniel},\n\ttimestamp = {2011.12.02},\n\turl = {http://elib.dlr.de/70969/}\n}\n\n\n
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\n his work presents the modeling methodology of the iTETRIS platform to integrate and simulate ITS applications. iTETRIS is a modular and open-source simulation platform composed of four key modules: the network simulator ns-3, the traffic simulator SUMO, an ITS (Intelligent Transportation System) application simulator, and a central federating module called iCS. Our contribution is twofold: First, we propose a methodology to model and simulate ITS applications with iTETRIS around three main mechanisms: (i) message management with generic open APIs based on subscription/result container mechanisms (ii) data management with the integration of an application facilities layer in the iCS, including a local dynamic map (LDM), (iii) application management with an ITS application simulator including one or more application logics. Second, we apply this methodology to implement the following four ITS applications: dynamic route planning, bus lane management, emergency vehicle, and contextual speed adaptation. We describe their integrations in iTETRIS, including a characterization of their interactions with the iCS, and illustrate the benefits of these ITS applications on traffic efficiency, gasoline consumption, or air pollutant emissions.\n
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\n\n \n \n \n \n \n CLWPR - A Novel Cross-Layer Optimized Position Based Routing Protocol for VANETs.\n \n \n \n\n\n \n Katsaros, K.; Dianati, M.; Tafazolli, R.; and Kernchen, R.\n\n\n \n\n\n\n In
2011 IEEE Vehicular Networking Conference (VNC) (VNC 2011), pages 200–207, 2011. \n
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\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{Katsaros2011b,\n\tauthor = {Katsaros, Konstantinos and Dianati, Mehrdad and Tafazolli, Rahim and Kernchen, Ralf},\n\tbooktitle = {2011 IEEE Vehicular Networking Conference (VNC) (VNC 2011)},\n\ttitle = {{CLWPR - A Novel Cross-Layer Optimized Position Based Routing Protocol for VANETs}},\n\tyear = {2011},\n\tpages = {200--207},\n\tabstract = {In this paper, we propose a novel position-based routing protocol\n\tdesigned to anticipate the characteristics of an urban VANET environment.\n\tThe proposed algorithm utilizes the prediction of the node's position\n\tand navigation information to improve the efficiency of routing protocol\n\tin a vehicular network. In addition, we use the information about\n\tlink layer quality in terms of SNIR and MAC frame error rate to further\n\timprove the efficiency of the proposed routing protocol. This in\n\tparticular helps to decrease end-to-end delay. Finally, carry-n-forward\n\tmechanism is employed as a repair strategy in sparse networks. It\n\tis shown that use of this technique increases packet delivery ratio,\n\tbut increases end-to-end delay as well and is not recommended for\n\tQoS constraint services. Our results suggest that compared with GPSR,\n\tour proposal demonstrates better performance in the urban environment.},\n\tfile = {:http\\://info.ee.surrey.ac.uk/Personal/K.Katsaros/papers/KK_CLWPR_VNC_11.pdf:URL},\n\tgroups = {routing protocols, University of Surrey, assigned2groups, documentAssigned, [dkrajzew:]},\n\tkeywords = {vehicular ad-hoc networks, position based routing, cross-layer.},\n\towner = {dkrajzew},\n\ttimestamp = {2012.01.25}\n}\n\n\n
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\n In this paper, we propose a novel position-based routing protocol designed to anticipate the characteristics of an urban VANET environment. The proposed algorithm utilizes the prediction of the node's position and navigation information to improve the efficiency of routing protocol in a vehicular network. In addition, we use the information about link layer quality in terms of SNIR and MAC frame error rate to further improve the efficiency of the proposed routing protocol. This in particular helps to decrease end-to-end delay. Finally, carry-n-forward mechanism is employed as a repair strategy in sparse networks. It is shown that use of this technique increases packet delivery ratio, but increases end-to-end delay as well and is not recommended for QoS constraint services. Our results suggest that compared with GPSR, our proposal demonstrates better performance in the urban environment.\n
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\n\n \n \n \n \n \n Application of Vehicular Communications for Improving the Efficiency of Traffic in Urban Areas.\n \n \n \n\n\n \n Katsaros, K.; Kernchen, R.; Dianati, M.; Rieck, D.; and Zinoviou, C.\n\n\n \n\n\n\n
Wireless Communications and Mobile Computing, 11(12): 1657–1667. 2011.\n
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\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{Katsaros2011,\n\tauthor = {Katsaros, Konstantinos and Kernchen, Ralf and Dianati, Mehrdad and Rieck, David and Zinoviou, Charalambos},\n\tjournal = {Wireless Communications and Mobile Computing},\n\ttitle = {{Application of Vehicular Communications for Improving the Efficiency of Traffic in Urban Areas}},\n\tyear = {2011},\n\tnumber = {12},\n\tpages = {1657--1667},\n\tvolume = {11},\n\tabstract = {This paper studies the impacts of vehicular communications on efficiency\n\tof traffic in urban areas. We consider a Green Light Optimized Speed\n\tAdvisory (GLOSA) application implementation in a typical reference\n\tarea, and present the results of its performance analysis using an\n\tintegrated cooperative ITS simulation platform. In addition, we study\n\troute alternation using Vehicle to Infrastructure (V2I) and Vehicle\n\tto Vehicle (V2V) communications. Our interest was to monitor the\n\timpacts of these applications on fuel and traffic efficiency by introducing\n\tmetrics for average fuel consumption, average stop time behind a\n\ttraffic light and average trip time, respectively. For gathering\n\tthe results we implemented two traffic scenarios defining routes\n\tthrough an urban area including traffic lights. The simulations are\n\tvaried for different penetration rates of application-equipped vehicles,\n\tdrivers compliance to the advised speed and traffic density. Our\n\tresults indicate that GLOSA systems could improve fuel consumption,\n\treduce traffic congestion in junctions and the total trip time.},\n\tdoi = {10.1002/wcm.1233},\n\tfile = {:http\\://info.ee.surrey.ac.uk/Personal/K.Katsaros/papers/KK_GLOSA_SI_WCMC_11.pdf:URL},\n\tgroups = {used, navigation, GLOSA, VSimRTI, JiST/SWANS, University of Surrey, assigned2groups, documentAssigned, [dkrajzew:]},\n\tkeywords = {fuel consumption,traffic congestion,traffic light advisory,vehicular communications, alternative route},\n\towner = {dkrajzew},\n\ttimestamp = {2012.01.25}\n}\n\n\n
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\n This paper studies the impacts of vehicular communications on efficiency of traffic in urban areas. We consider a Green Light Optimized Speed Advisory (GLOSA) application implementation in a typical reference area, and present the results of its performance analysis using an integrated cooperative ITS simulation platform. In addition, we study route alternation using Vehicle to Infrastructure (V2I) and Vehicle to Vehicle (V2V) communications. Our interest was to monitor the impacts of these applications on fuel and traffic efficiency by introducing metrics for average fuel consumption, average stop time behind a traffic light and average trip time, respectively. For gathering the results we implemented two traffic scenarios defining routes through an urban area including traffic lights. The simulations are varied for different penetration rates of application-equipped vehicles, drivers compliance to the advised speed and traffic density. Our results indicate that GLOSA systems could improve fuel consumption, reduce traffic congestion in junctions and the total trip time.\n
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\n\n \n \n \n \n \n \n Ökologische Einflüsse ausgewählter Verkehrsmanagementansätze.\n \n \n \n \n\n\n \n Krajzewicz, D.; Bieker, L.; Brockfeld, E.; Nippold, R.; and Ringel, J.\n\n\n \n\n\n\n In
Heureka '11, März 2011. \n
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Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{Krajzewicz2011,\n\tauthor = {Daniel Krajzewicz and Laura Bieker and Elmar Brockfeld and Ronald Nippold and Julia Ringel},\n\tbooktitle = {Heureka '11},\n\ttitle = {\\"Okologische Einfl\\"usse ausgew\\"ahlter Verkehrsmanagementans\\"atze},\n\tyear = {2011},\n\tmonth = {M\\"arz},\n\tabstract = {Eine der Aufgaben innerhalb des von der Europ?ischen Kommission kofinanzierten\n\tProjektes ?iTETRIS? war die Betrachtung der ?kologischen Auswirkungen\n\tvon Verkehrsmanagementma?nahmen. Um diese Aufgabe erf?llen zu k?nnen\n\twurde die innerhalb dieses Projektes benutzte Verkehrsflusssimulation\n\tSUMO um ein Modell der Schadstoffemission und des Kraftstoffverbrauchs\n\terweitert. Mit Hilfe der so erhaltenen Anwendung wurden Versuche\n\tdurchgef?hrt, die die Abh?ngigkeit zwischen konventionellen Kenngr??en\n\tdes Verkehrsmanagements und den neu errechenbaren ?kologischen Kenngr??en\n\taufdecken sollten. Innerhalb dieses Berichts werden neben dem Emissionsmodell\n\tdie Ergebnisse dieser Untersuchungen vorgestellt, wobei ein starker\n\tZusammenhang zwischen konventionellen und ?kologischen Kenngr??en\n\tfestgestellt wird.},\n\tgroups = {used, iTETRIS, TLS, assignment, pollution, TS, assigned2groups},\n\tkeywords = {Schadstoffemission, Routenwahl, Verkehrsmanagement},\n\towner = {Daniel},\n\ttimestamp = {2011.12.02},\n\turl = {http://elib.dlr.de/69859/}\n}\n\n\n
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\n Eine der Aufgaben innerhalb des von der Europ?ischen Kommission kofinanzierten Projektes ?iTETRIS? war die Betrachtung der ?kologischen Auswirkungen von Verkehrsmanagementma?nahmen. Um diese Aufgabe erf?llen zu k?nnen wurde die innerhalb dieses Projektes benutzte Verkehrsflusssimulation SUMO um ein Modell der Schadstoffemission und des Kraftstoffverbrauchs erweitert. Mit Hilfe der so erhaltenen Anwendung wurden Versuche durchgef?hrt, die die Abh?ngigkeit zwischen konventionellen Kenngr??en des Verkehrsmanagements und den neu errechenbaren ?kologischen Kenngr??en aufdecken sollten. Innerhalb dieses Berichts werden neben dem Emissionsmodell die Ergebnisse dieser Untersuchungen vorgestellt, wobei ein starker Zusammenhang zwischen konventionellen und ?kologischen Kenngr??en festgestellt wird.\n
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\n\n \n \n \n \n \n \n Large-scale Vehicle Routing Scenarios based on Pollutant Emission.\n \n \n \n \n\n\n \n Krajzewicz, D.; and Wagner, P.\n\n\n \n\n\n\n In Meyer, G.; and Valldorf, J., editor(s),
AMAA 2011, pages 237–246, Juni 2011. Springer\n
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Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{Krajzewicz2011a,\n\tauthor = {Daniel Krajzewicz and Peter Wagner},\n\tbooktitle = {AMAA 2011},\n\ttitle = {Large-scale Vehicle Routing Scenarios based on Pollutant Emission},\n\tyear = {2011},\n\teditor = {Gereon Meyer and J\\"urgen Valldorf},\n\tmonth = {Juni},\n\tpages = {237--246},\n\tpublisher = {Springer},\n\tabstract = {This paper describes simulation-based investigations on route choice\n\tbased on pollutant emission. A microscopic simulation enhanced by\n\ta pollutant emission model was used to evaluate whether a vehicle?s\n\tpollutant emission can be used as an edge weight during route computation\n\tand which effects can be observed in such cases. For each of the\n\tpollutants CO, CO2, NOx, PMx, and HC and for the fuel consumption,\n\ta dynamic user assignment has been performed. The investigations\n\thave been performed twice, using two scenarios of different size.\n\tLarge discrepancies for route computation using pollutants have been\n\tobserved when comparing inner-city and suburban traffic networks.},\n\tgroups = {used, assignment, metrics, pollution, TS, assigned2groups},\n\tjournal = {Advanced Microsystems for Automotive Applications 2011},\n\tkeywords = {pollutant emission, traffic management, route choice, assignment},\n\towner = {Daniel},\n\ttimestamp = {2011.12.02},\n\turl = {http://elib.dlr.de/70322/}\n}\n\n\n
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\n This paper describes simulation-based investigations on route choice based on pollutant emission. A microscopic simulation enhanced by a pollutant emission model was used to evaluate whether a vehicle?s pollutant emission can be used as an edge weight during route computation and which effects can be observed in such cases. For each of the pollutants CO, CO2, NOx, PMx, and HC and for the fuel consumption, a dynamic user assignment has been performed. The investigations have been performed twice, using two scenarios of different size. Large discrepancies for route computation using pollutants have been observed when comparing inner-city and suburban traffic networks.\n
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\n\n \n \n \n \n \n An Integrated Architecture for Autonomous Vehicles Simulation.\n \n \n \n\n\n \n Pereira, J. L. F.\n\n\n \n\n\n\n Master's thesis, Faculdade de Engenharia da Universidade do Porto, June 2011.\n
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\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@mastersthesis{Pereira2011,\n\tauthor = {Jos� Luis Ferr�s Pereira},\n\ttitle = {An Integrated Architecture for Autonomous Vehicles Simulation},\n\tschool = {Faculdade de Engenharia da Universidade do Porto},\n\tyear = {2011},\n\tmonth = {June},\n\tabstract = {Research on autonomous vehicles has come a long way since first findings,\n\tand its software tools\n\n\tare increasingly acclaimed by the research community. Particularly\n\twith robotics simulators, autonomous\n\n\tvehicles were provided with a suitable test-bed for experimentation\n\tof new methodologies\n\n\tsuch as long-term navigation algorithms, map building and intelligent\n\treasoning. However,\n\n\twhen it concerns the deployment and validation of such vehicles in\n\ta larger urban traffic scenario,\n\n\trobotics simulators do not seem to provide the required functionality\n\tfor road traffic analysis, or\n\n\tinter-vehicular communication infrastructure as they seem present\n\tin today�s traffic simulators.\n\n\tThe improvement of such features is the key for the successful practical\n\tdeployment of such a\n\n\tcritical system.\n\n\n\tThe main objective of this dissertation is the integration of two\n\ttypes of simulators, namely a\n\n\trobotics and a traffic simulator. This integration will enable autonomous\n\tvehicles to be deployed\n\n\tin a rather realistic traffic flow as an agent entity (on the traffic\n\tsimulator), at the same time it\n\n\tsimulates all its sensors and actuators (on the robotics counterpart).\n\tAlso, the statistical tools\n\n\tavailable in the traffic simulator will allow practitioners to infer\n\twhat kind of advantages such a\n\n\tnovel technology will bring to our everyday�s lives. Furthermore,\n\tthe current features and issues on\n\n\tcurrent robotics and traffic simulators are presented and a taxonomy\n\tfor selecting these simulators\n\n\tis proposed. An architecture for the integration of the aforementioned\n\tsimulators is proposed and\n\n\timplemented in the light of the most desired features of such software\n\tenvironments.\n\n\n\tTo assess the usefulness of the platform architecture towards the\n\texpected realistic simulation\n\n\tfacility, a comprehensive system evaluation is also performed and\n\tcritically reviewed, leveraging\n\n\tthe feasibility of the integration. Further developments and future\n\tperspectives are pinpointed up\n\n\tin the end.},\n\tfile = {:https\\://sumo.dlr.de/pdf/mieec1.pdf:URL},\n\tkeywords = {autonomous driving, SUMO, driver modelling, Universidade de Porto,\n\tModels},\n\towner = {dkrajzew},\n\ttimestamp = {2011.09.30}\n}\n\n\n
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\n Research on autonomous vehicles has come a long way since first findings, and its software tools are increasingly acclaimed by the research community. Particularly with robotics simulators, autonomous vehicles were provided with a suitable test-bed for experimentation of new methodologies such as long-term navigation algorithms, map building and intelligent reasoning. However, when it concerns the deployment and validation of such vehicles in a larger urban traffic scenario, robotics simulators do not seem to provide the required functionality for road traffic analysis, or inter-vehicular communication infrastructure as they seem present in today�s traffic simulators. The improvement of such features is the key for the successful practical deployment of such a critical system. The main objective of this dissertation is the integration of two types of simulators, namely a robotics and a traffic simulator. This integration will enable autonomous vehicles to be deployed in a rather realistic traffic flow as an agent entity (on the traffic simulator), at the same time it simulates all its sensors and actuators (on the robotics counterpart). Also, the statistical tools available in the traffic simulator will allow practitioners to infer what kind of advantages such a novel technology will bring to our everyday�s lives. Furthermore, the current features and issues on current robotics and traffic simulators are presented and a taxonomy for selecting these simulators is proposed. An architecture for the integration of the aforementioned simulators is proposed and implemented in the light of the most desired features of such software environments. To assess the usefulness of the platform architecture towards the expected realistic simulation facility, a comprehensive system evaluation is also performed and critically reviewed, leveraging the feasibility of the integration. Further developments and future perspectives are pinpointed up in the end.\n
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\n\n \n \n \n \n \n \n An airborne camera system for rapid mapping in case of disaster and mass events.\n \n \n \n \n\n\n \n Rosenbaum, D.; Behrisch, M.; Leitloff, J.; Kurz, F.; Meynberg, O.; Reize, T.; and Reinartz, P.\n\n\n \n\n\n\n In
EOGC 2011, April 2011. \n
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Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{Rosenbaum2011,\n\tauthor = {Dominik Rosenbaum and Michael Behrisch and Jens Leitloff and Franz Kurz and Oliver Meynberg and Tanja Reize and Peter Reinartz},\n\tbooktitle = {EOGC 2011},\n\ttitle = {An airborne camera system for rapid mapping in case of disaster and mass events},\n\tyear = {2011},\n\tmonth = {April},\n\tabstract = {Here we present an airborne optical camera system with an extended\n\timage processing unit onboard the aircraft and a radio data downlink.\n\tWith all these components the system is well suited for rapid mapping\n\tapplications in case of mass events and disaster. The image processing\n\tunit provides the possibility of direct orthorectification/georeferencing\n\tof the aerial images by the use of an IMU/GPS real-time navigation\n\tsystem without the use of ground control points. Furthermore thematic\n\tprocessing algorithms implemented to the image processing unit can\n\tanalyse orthoimages e.g. for road traffic data content, people density\n\tand movement during mass events or DSM generation and 3D analysis\n\tdirectly onboard the aircraft. Resulting data and images can be transmitted\n\tto the ground via radio data downlink immediately. Road traffic data\n\tis used at the ground station in a traffic simulation for filling\n\tcoverage gaps and traffic forecast. All in all, the system forms\n\ta powerful tool to operation controllers of security authorities\n\tand organizations in case of mass events or disasters.},\n\tgroups = {used, VABENE, surveillance, airborne, cameras, forecast, TS, MF, assigned2groups},\n\tjournal = {Proceedings of the Earth Observation for Global Change 2011 - EOGC 2011 (Munich, Germany, 2011-04-13 to 2011-04-15)},\n\tkeywords = {Rapid Mapping, Monitoring, Recognition, Orthorectification, Georeferencing, Image, Pattern, Sequences},\n\towner = {Daniel},\n\ttimestamp = {2011.12.02},\n\turl = {http://elib.dlr.de/70510/}\n}\n\n\n
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\n Here we present an airborne optical camera system with an extended image processing unit onboard the aircraft and a radio data downlink. With all these components the system is well suited for rapid mapping applications in case of mass events and disaster. The image processing unit provides the possibility of direct orthorectification/georeferencing of the aerial images by the use of an IMU/GPS real-time navigation system without the use of ground control points. Furthermore thematic processing algorithms implemented to the image processing unit can analyse orthoimages e.g. for road traffic data content, people density and movement during mass events or DSM generation and 3D analysis directly onboard the aircraft. Resulting data and images can be transmitted to the ground via radio data downlink immediately. Road traffic data is used at the ground station in a traffic simulation for filling coverage gaps and traffic forecast. All in all, the system forms a powerful tool to operation controllers of security authorities and organizations in case of mass events or disasters.\n
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\n\n \n \n \n \n \n Large-scale Urban Vehicular Mobility for Networking Research.\n \n \n \n\n\n \n Uppoor, S.; and Fiore, M.\n\n\n \n\n\n\n In
IEEE Vehicular Networking Conference (VNC), Amsterdam, The Netherlands, 11 2011. \n
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\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@inproceedings{SandeshFiore2011,\n\tauthor = {Sandesh Uppoor and Marco Fiore},\n\tbooktitle = {IEEE Vehicular Networking Conference (VNC)},\n\ttitle = {Large-scale Urban Vehicular Mobility for Networking Research},\n\tyear = {2011},\n\taddress = {Amsterdam, The Netherlands},\n\tmonth = {11},\n\tabstract = {Simulation is the tool of choice for the largescale\n\n\tperformance evaluation of upcoming telecommunication\n\n\tnetworking paradigms that involve users aboard vehicles, such\n\n\tas next-generation cellular networks for vehicular access, pure\n\n\tvehicular ad hoc networks, and opportunistic disruption-tolerant\n\n\tnetworks. The single most distinguishing feature of vehicular\n\n\tnetworks simulation lies in the mobility of users, which is the\n\n\tresult of the interaction of complex macroscopic and microscopic\n\n\tdynamics. Notwithstanding the improvements that vehicular mobility\n\n\tmodeling has undergone during the past few years, no car\n\n\ttraffic trace is available today that captures both macroscopic and\n\n\tmicroscopic behaviors of drivers over a large urban region, and\n\n\tdoes so with the level of detail required for networking research.\n\n\tIn this paper, we present a realistic synthetic dataset of the car\n\n\ttraffic over a typical 24 hours in a 400-km2 region around the city\n\n\tof K�oln, in Germany. We outline how our mobility description\n\n\timproves today�s existing traces and show the potential impact\n\n\tthat a comprehensive representation of vehicular mobility can\n\n\thave one the evaluation of networking technologies.},\n\tfile = {:http\\://kolntrace.project.citi-lab.fr/data/uppoor_vnc11.pdf:URL},\n\tgroups = {used, TAPAS, connectivity, generation, assignment, road networks, INRIA, assigned2groups},\n\towner = {dkrajzew},\n\ttimestamp = {2011.12.01}\n}\n\n\n
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\n Simulation is the tool of choice for the largescale performance evaluation of upcoming telecommunication networking paradigms that involve users aboard vehicles, such as next-generation cellular networks for vehicular access, pure vehicular ad hoc networks, and opportunistic disruption-tolerant networks. The single most distinguishing feature of vehicular networks simulation lies in the mobility of users, which is the result of the interaction of complex macroscopic and microscopic dynamics. Notwithstanding the improvements that vehicular mobility modeling has undergone during the past few years, no car traffic trace is available today that captures both macroscopic and microscopic behaviors of drivers over a large urban region, and does so with the level of detail required for networking research. In this paper, we present a realistic synthetic dataset of the car traffic over a typical 24 hours in a 400-km2 region around the city of K�oln, in Germany. We outline how our mobility description improves today�s existing traces and show the potential impact that a comprehensive representation of vehicular mobility can have one the evaluation of networking technologies.\n
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\n\n \n \n \n \n \n \n Route choice calibration from multi-point vehicle stream measurements.\n \n \n \n \n\n\n \n Wang, Y.; and Flötteröd, G.\n\n\n \n\n\n\n In
MT-ITS 2011, Juni 2011. \n
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@inproceedings{dlr71872,\n\tauthor = {Yun-Pang Wang and Gunnar Fl{\\"o}tter{\\"o}d},\n\tbooktitle = {MT-ITS 2011},\n\ttitle = {Route choice calibration from multi-point vehicle stream measurements},\n\tyear = {2011},\n\tmonth = {Juni},\n\tabstract = {To better und more precisely assess different transporta-tion design\n\talternatives and traffic management strategies, microscopic traffic\n\tsimulation models are extensively applied. The respective calibration\n\tand validation works are getting more and more important. Nowadays,\n\tGPS-based systems are broadly applied. More and more route related\n\tinformation can be collected, which promises great improvements of\n\tcalibra-tion accuracy. An approach using multi-point vehicle stream\n\tmeasurements is proposed in this paper and is shown to work well\n\tin synthetic experiments.},\n\tgroups = {pollution},\n\tkeywords = {route choice, vehicle reidentification, traffic simulation SUMO, CADYTS},\n\towner = {dkrajzew},\n\ttimestamp = {2014.01.08},\n\turl = {http://elib.dlr.de/71872/}\n}\n\n\n
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\n To better und more precisely assess different transporta-tion design alternatives and traffic management strategies, microscopic traffic simulation models are extensively applied. The respective calibration and validation works are getting more and more important. Nowadays, GPS-based systems are broadly applied. More and more route related information can be collected, which promises great improvements of calibra-tion accuracy. An approach using multi-point vehicle stream measurements is proposed in this paper and is shown to work well in synthetic experiments.\n
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