This paper addresses the problem of optimally coordinating connected vehicles crossing an intersection without any explicit traffic signals. We propose a game-in-game framework that utilizes Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technologies in order to maximize intersection throughput and to minimize traffic accidents and congestion. A Platoon Structure Formation Algorithm (PSFA) is proposed to form coalitions for CAVs at the intersection boundary, and a strategic game for CAVs in the interior is proposed to avoid predicted accidents inside the intersection. We perform extensive experiments to evaluate our proposed game-in-game framework under different traffic conditions. The results show that our proposed game-in-game framework reduces the accidents by 99%, while increasing the intersection throughput significantly.


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    Titel :

    Intersection Management for Connected Autonomous Vehicles: A Game Theoretic Framework


    Beteiligte:
    Wei, Haoran (Autor:in) / Mashayekhy, Lena (Autor:in) / Papineau, Jake (Autor:in)


    Erscheinungsdatum :

    01.11.2018


    Format / Umfang :

    590601 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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