Autonomous vehicles (AVs) will become more common in future decades. The transportation system will experience a lengthy phase of combined autonomous and manual vehicle use before a fully self-driving environment becomes a reality. Ideally, autonomous vehicles are absolutely safe when programmed with high sensitivity sensors; however, due to the limits of current technologies, AVs can fail to accurately sense adjacent traffic, which may result in potential hazards in mixed traffic flow. We simulate this situation with a cellular automata (CA) model and obtain the accident rate along with road throughput in mixed autonomous and manual vehicle flow. To guarantee safety while maintaining a certain level of efficiency, we propose a robust strategy by setting a safe distance between an AV and its leading vehicle, and study how this safe distance affects the accident rate and throughput of the road. Numerical examples are conducted to demonstrate some management insights.


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    Titel :

    Cellular Automata for Modeling Safety Issues in Mixed Traffic of Conventional and Autonomous Vehicles


    Beteiligte:
    Liu, Youran (Autor:in) / Lin, Xi (Autor:in) / He, Fang (Autor:in) / Li, Meng (Autor:in)

    Kongress:

    18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China


    Erschienen in:

    CICTP 2018 ; 56-65


    Erscheinungsdatum :

    2018-07-02




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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