Intelligent transportation systems and the concept of cooperative autonomous vehicles has emerged as an efficient solution for enhancing the mobility of mixed traffic and counteracting the ever-increasing traffic congestion. Since the bottleneck of traffic flow and the most accident-prone areas are road intersections, this paper discusses cooperative platoon based scheduling strategies for managing traffic at road intersections. In this paper, proximity based cooperative traffic control strategy is implemented which prioritizes platoons based on their proximity to the intersection. It is a decentralized approach where the decisions are based on real-time traffic data obtained from surrounding platoons via wireless communication. The objective is to reduce the halt time of vehicles at intersections. The proposed decentralized strategy is presented against two state-of-the-art cooperative strategies. Simulation results show that the proposed decentralized strategy improves traffic throughput in terms of distance traveled by vehicles.


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    Titel :

    Platoon-based Cooperative Intersection Management Strategies


    Beteiligte:
    Bisht, Neha (Autor:in) / Shet, Rahi Avinash (Autor:in)


    Erscheinungsdatum :

    01.05.2020


    Format / Umfang :

    232966 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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