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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:
    Avedisov, Sergei S. (Autor:in) / Bansal, Gaurav (Autor:in) / Orosz, Gabor (Autor:in)


    Erscheinungsdatum :

    01.05.2022


    Format / Umfang :

    3587543 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Freeway speedharmonisation experiment using connected and automated vehicles

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

    Freier Zugriff

    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



    Trajectory reconstruction for mixed traffic flow with regular, connected, and connected automated vehicles on freeway

    Yao, Zhihong / Liu, Meng / Jiang, Yangsheng et al. | Wiley | 2024

    Freier Zugriff