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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    Title :

    Connected autonomous vehicle driving path optimization method for unsignalized intersections


    Contributors:
    Easa, Said (editor) / Wei, Wei (editor) / Zhang, Zhi (author) / Rao, Bowen (author) / Long, Guansen (author) / Tan, Guoping (author)

    Conference:

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


    Published in:

    Proc. SPIE ; 12790


    Publication date :

    2023-09-07





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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