With the rapid development of autonomous driving technology, it is imperative to study the impact of this technology on the resilience of urban road transportation networks. This study focuses on virtual traffic signal control (VTS) as a representative of autonomous driving technology and proposes a multi-dimensional resilience evaluation system to compare the impacts of three different signal-timing strategies on the resilience of urban traffic networks under various scenarios. Simulation results demonstrate that the average vehicle speed under VTS control is 38.1% and 40.1% higher than the other two control modes, respectively. In addition, the VTS approach significantly reduces delays and minimizes fuel consumption compared to the other two approaches. Moreover, this paper delves into the intrinsic mechanisms by which VTS enhances traffic resilience. It highlights the importance of integrating autonomous driving technology into traffic strategies to achieve carbon emissions reduction and promote sustainable transportation. The network resilience enhanced by VTS enables cities to effectively respond to unexpected events, thereby ensuring smooth traffic flow and safety. This research provides valuable insights into existing knowledge and promotes further research in the field of traffic resilience.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Impact of Automated Driving under Virtual Traffic Signals on Traffic Resilience of Urban Road Networks


    Beteiligte:
    Zhang, Yankai (Autor:in) / Chen, Jiajing (Autor:in) / Liang, Bo (Autor:in) / Xu, Zihuan (Autor:in) / Mo, Lei (Autor:in) / Zhang, Zhao (Autor:in) / Bian, Ruijie “Rebecca” (Autor:in)

    Kongress:

    International Conference on Transportation and Development 2024 ; 2024 ; Atlanta, Georgia



    Erscheinungsdatum :

    13.06.2024




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    The Impact of Automated Vehicles on Traffic Flow and Road Capacity on Urban Road Networks

    Ji Eun Park / Wanhee Byun / Youngchan Kim et al. | DOAJ | 2021

    Freier Zugriff

    Resilience of Urban Road Network to Malignant Traffic Accidents

    Yiding Lu / Zhan Zhang / Xinyi Fang et al. | DOAJ | 2022

    Freier Zugriff


    Virtual safety performance assessment for automated driving in complex urban traffic scenarios

    Brunner, Pascal / Denk, Florian / Huber, Werner et al. | IEEE | 2019