Intersections stand as critical nodes in transportation networks, where traffic safety and efficiency are paramount concerns. The advent of Connected and Automated Vehicles (CAVs) holds promise in revolutionizing transportation systems by enhancing efficiency, safety, and congestion mitigation. However, prevailing literature on intersection management adheres to traditional layouts, imposing fixed turning directions on approach lanes, thus limiting the flexibility and controllability of CAVs. In contrast to approaches restricting lane choice, our framework leverages all available exit lanes whenever feasible. The Extended Conflict Directed Graph (ECDG) is proposed to model intersections, integrating vehicle dynamics and intersection geospatial characteristics for improved efficiency. Furthermore, we propose a novel breadth-first-search-based method to solve the problems efficiently. Extensive experiments demonstrate significant improvements in intersection evacuation time, with up to a 15.8% enhancement in traffic efficiency compared to state-of-the-art methods.


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    Titel :

    Safe and Efficient Unsignalized Intersection Management with Breadth-First Spanning Tree


    Beteiligte:
    Li, Dong (Autor:in) / Wang, Sen (Autor:in) / Zeng, Haibo (Autor:in)


    Erscheinungsdatum :

    24.09.2024


    Format / Umfang :

    354629 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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