Shockwaves are a boundary that shows discontinuity in a flow-density domain. The physical realization of a shockwave is a point in time and space at which vehicles change their speed abruptly. The formation and dissolving of congestion are phenomena that are important for the traveler information and congestion management perspectives. Shockwave analysis is the method to identify congested areas and estimate the rate of formation and dissipation of the congestion. The microscopic traffic simulation tool Vissim was used to address the main objective of this study, namely to determine if and to what extent the driving behavior parameters of the model used influence the shockwaves on motorways. After precise calibration of the car following behavior based on the detected shockwaves from data of the German research project simTD, the possible influences on driver behavior through highly automated vehicles was sketched in order to figure out whether these applications can change the shockwave propagation speed on motorways, lead to suppression of shockwaves and improve the network performance as well as increase the traffic safety.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Shockwave Analysis on Motorways and Possibility of Damping by Autonomous Vehicles


    Additional title:

    Lect.Notes Mobility


    Contributors:


    Publication date :

    2015-06-30


    Size :

    16 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    How Autonomous Vehicles May Affect Vehicle Emissions on Motorways

    Papantoniou, Panagiotis / Kalliga, V. / Antoniou, Constantinos | Springer Verlag | 2020


    Commercial vehicles and new motorways

    Clapp, D.M. / Proudlove, J.A. | Engineering Index Backfile | 1957


    Motorways-Audi

    Bateman, Mr | Online Contents | 2004


    METHOD FOR AUTONOMOUS CARS TO CHANGE LANES ON MOTORWAYS

    SCHELLHORN HENRY / CHENG YUAN | European Patent Office | 2020

    Free access

    Managed Motorways

    van Vuren, Tom / Baker, Jo / Ogawa, Jennifer et al. | Transportation Research Record | 2012