@inproceedings{Tielert2010,
	author = {Tielert, T. and Killat, M. and Hartenstein, H. and Luz, R. and Hausberger, S. and Benz, T.},
	booktitle = {Internet of Things (IOT), 2010},
	title = {The impact of traffic-light-to-vehicle communication on fuel consumption and emissions},
	year = {2010},
	month = {29 2010-dec. 1},
	pages = {1 -8},
	abstract = {#x201C;Smart #x201D; vehicles of the future are envisioned to aid
	their drivers in reducing fuel consumption and emissions by wirelessly
	receiving phase-shifting information of the traffic lights in their
	vicinity and computing an optimized speed in order to avoid braking
	and acceleration maneuvers. Previous studies have demonstrated the
	potential environmental benefit in small-scale simulation scenarios.
	To assess the overall benefit, large-scale simulations are required.
	In order to ensure computational feasibility, the applied simulation
	models need to be simplified as far as possible without sacrificing
	credibility. Therefore this work presents the results of a sensitivity
	analysis and identifies gear choice and the distance from the traffic
	light at which vehicles are informed as key influencing factors.
	Our results indicate that a suboptimal gear choice can void the benefits
	of the speed adaptation. Furthermore, we present first results of
	a scale-up simulation using a real-world inner-city road network
	and discuss the range in which we expect the saving in fuel consumption
	to be in reality.},
	doi = {10.1109/IOT.2010.5678454},
	file = {:http\://www.caad.arch.ethz.ch/noolab/files/external/conferences/IoT2010_proceedings/pdf/Conference/GreenIoT/C3.pdf:URL},
	groups = {GLOSA, assigned2groups, documentAssigned, dkrajzew:6},
	keywords = {fuel consumption;phase shifting information;smart vehicles;traffic lights;traffic-light-to-vehicle communication;mobile communication;phase shifters;},
	owner = {dkrajzew},
	timestamp = {2012.01.26}
}

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Previous studies have demonstrated the potential environmental benefit in small-scale simulation scenarios. To assess the overall benefit, large-scale simulations are required. In order to ensure computational feasibility, the applied simulation models need to be simplified as far as possible without sacrificing credibility. Therefore this work presents the results of a sensitivity analysis and identifies gear choice and the distance from the traffic light at which vehicles are informed as key influencing factors. Our results indicate that a suboptimal gear choice can void the benefits of the speed adaptation. Furthermore, we present first results of a scale-up simulation using a real-world inner-city road network and discuss the range in which we expect the saving in fuel consumption to be in reality.","doi":"10.1109/IOT.2010.5678454","file":":http\\://www.caad.arch.ethz.ch/noolab/files/external/conferences/IoT2010_proceedings/pdf/Conference/GreenIoT/C3.pdf:URL","groups":"GLOSA, assigned2groups, documentAssigned, dkrajzew:6","keywords":"fuel consumption;phase shifting information;smart vehicles;traffic lights;traffic-light-to-vehicle communication;mobile communication;phase shifters;","owner":"dkrajzew","timestamp":"2012.01.26","bibtex":"@inproceedings{Tielert2010,\n\tauthor = {Tielert, T. and Killat, M. and Hartenstein, H. and Luz, R. and Hausberger, S. and Benz, T.},\n\tbooktitle = {Internet of Things (IOT), 2010},\n\ttitle = {The impact of traffic-light-to-vehicle communication on fuel consumption and emissions},\n\tyear = {2010},\n\tmonth = {29 2010-dec. 1},\n\tpages = {1 -8},\n\tabstract = {#x201C;Smart #x201D; vehicles of the future are envisioned to aid\n\ttheir drivers in reducing fuel consumption and emissions by wirelessly\n\treceiving phase-shifting information of the traffic lights in their\n\tvicinity and computing an optimized speed in order to avoid braking\n\tand acceleration maneuvers. Previous studies have demonstrated the\n\tpotential environmental benefit in small-scale simulation scenarios.\n\tTo assess the overall benefit, large-scale simulations are required.\n\tIn order to ensure computational feasibility, the applied simulation\n\tmodels need to be simplified as far as possible without sacrificing\n\tcredibility. Therefore this work presents the results of a sensitivity\n\tanalysis and identifies gear choice and the distance from the traffic\n\tlight at which vehicles are informed as key influencing factors.\n\tOur results indicate that a suboptimal gear choice can void the benefits\n\tof the speed adaptation. Furthermore, we present first results of\n\ta scale-up simulation using a real-world inner-city road network\n\tand discuss the range in which we expect the saving in fuel consumption\n\tto be in reality.},\n\tdoi = {10.1109/IOT.2010.5678454},\n\tfile = {:http\\://www.caad.arch.ethz.ch/noolab/files/external/conferences/IoT2010_proceedings/pdf/Conference/GreenIoT/C3.pdf:URL},\n\tgroups = {GLOSA, assigned2groups, documentAssigned, dkrajzew:6},\n\tkeywords = {fuel consumption;phase shifting information;smart vehicles;traffic lights;traffic-light-to-vehicle communication;mobile communication;phase shifters;},\n\towner = {dkrajzew},\n\ttimestamp = {2012.01.26}\n}\n\n\n","author_short":["Tielert, T.","Killat, M.","Hartenstein, H.","Luz, R.","Hausberger, S.","Benz, T."],"key":"Tielert2010","id":"Tielert2010","bibbaseid":"tielert-killat-hartenstein-luz-hausberger-benz-theimpactoftrafficlighttovehiclecommunicationonfuelconsumptionandemissions-2010","role":"author","urls":{},"keyword":["fuel consumption;phase shifting information;smart vehicles;traffic lights;traffic-light-to-vehicle communication;mobile communication;phase shifters;"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/eclipse/sumo/main/docs/sumo.bib","downloads":0,"keywords":["fuel consumption;phase shifting information;smart vehicles;traffic lights;traffic-light-to-vehicle communication;mobile communication;phase shifters;"],"search_terms":["impact","traffic","light","vehicle","communication","fuel","consumption","emissions","tielert","killat","hartenstein","luz","hausberger","benz"],"title":"The impact of traffic-light-to-vehicle communication on fuel consumption and emissions","year":2010,"dataSources":["66NTXxZwo8WZwAFCa","n7xZzbjha4s6NhjNG"]}