In this paper we investigate the effects of connected automated vehicles on traffic patterns. We first experimentally study traffic patterns using two connected human-driven vehicles, which are equipped with vehicle-to-vehicle (V2V) communication, and a connected automated vehicle, which is able to respond to V2V information and control its longitudinal motion. Our experimental results indicate the long-range feedback may benefit traffic flow and that car-following models with delay are able to replicate the experimental results. The data fitted models are used in simulations for a 100-car network to study traffic dynamics with partial penetration of connected automated vehicles.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Impacts of Connected Automated Vehicles on Freeway Traffic Patterns at Different Penetration Levels


    Contributors:


    Publication date :

    2022-05-01


    Size :

    3587543 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Freeway speedharmonisation experiment using connected and automated vehicles

    Learn, Stacy / Ma, Jiaqi / Raboy, Kelli et al. | Wiley | 2018

    Free access



    The Effect of Connected Automated Vehicles on Macroscopic Fundamental Diagram of Freeway Traffic

    PAN, Tianlu / LAM, William H. K. / SUMALEE, Agachai et al. | TIBKAT | 2017