Congestion of urban roads causes extra travel time as well as additional fuel consumption. We present an approach to determine this additional fuel consumption on the basis of empirical vehicle data. We study probe vehicle data provided by TomTom to find the various traffic patterns of urban congestion. We use simulations of these urban traffic patterns based on a stochastic Kerner- Klenov model as input for an empirical fuel consumption matrix compiled from empirical CAN bus signals from vehicles. Our results confirm that in certain congested city traffic patterns vehicles consume more than twice as much fuel as in free city traffic.
Increased Consumption in Oversaturated City Traffic Based on Empirical Vehicle Data
Lect.Notes Mobility
01.01.2014
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Urban traffic management , urban congested traffic , traffic signal , empirical fuel consumption , consumption matrix , eco-routing , oversaturated traffic , probe vehicle data , navigation , traffic simulation Engineering , Automotive Engineering , Nanotechnology and Microengineering , Transportation , Circuits and Systems
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