This paper takes a unsignalized intersection as the background, takes the Connected Autonomous Vehicles (CAVs) as the research object, and focuses on the path optimization problem of the CAV in a traffic environment with both CAVs and Human-Driven Vehicles (HDVs) with the goal of ensuring traffic safety and improving traffic efficiency. In view of the above problems, this paper proposes a path optimization method for driving CAV at unsignalized intersections with the assistance of Road Side Unit (RSU). Simulation results show that the path optimization algorithm proposed in this paper can guide the CAV to pass through the unsignalized intersection safely and efficiently.


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    Titel :

    Connected autonomous vehicle driving path optimization method for unsignalized intersections


    Beteiligte:
    Easa, Said (Herausgeber:in) / Wei, Wei (Herausgeber:in) / Zhang, Zhi (Autor:in) / Rao, Bowen (Autor:in) / Long, Guansen (Autor:in) / Tan, Guoping (Autor:in)

    Kongress:

    Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023) ; 2023 ; Hangzhou, China


    Erschienen in:

    Proc. SPIE ; 12790


    Erscheinungsdatum :

    2023-09-07





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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