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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Increased Consumption in Oversaturated City Traffic Based on Empirical Vehicle Data


    Additional title:

    Lect.Notes Mobility




    Publication date :

    2014-01-01


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Microscopic Simulation of Synchronized Flow in Oversaturated City Traffic

    Hermanns, Gerhard / Hemmerle, Peter / Rehborn, Hubert et al. | Transportation Research Record | 2019


    Control Strategies for Oversaturated Traffic

    Lo, Hong K. | Online Contents | 2004


    Control Strategies for Oversaturated Traffic

    Lo, H. K. / Chow, A. H. F. | British Library Online Contents | 2004


    Traffic Control in Oversaturated Street Networks

    L. J. Pignataro / W. R. McShane / K. W. Crowley et al. | NTIS | 1978


    Traffic control in oversaturated street networks

    Pignataro, Louis J. | TIBKAT | 1978