Nowadays, there is a rapid growth in the number of vehicles on the roads. This leads to a significant load on the transport infrastructure of cities: an increase in the number of traffic jams on the roads, an increase of environmental pollution, and an increase in the number of traffic accidents. To reduce the load on the transport network of the city, various methods are used to control the traffic at intersections. One of the approaches to solving this problem is based on the construction of trajectories of connected and automated vehicles (CAV). The paper presents a method of optimal trajectory planning of CAV at a multi-lane controlled intersection. The results of experimental studies of the developed method in the SUMO simulation environment are presented.


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    Titel :

    Vehicle Trajectory Planning in the Problem of Traffic Flow Control at Signalized Intersections


    Beteiligte:


    Erscheinungsdatum :

    23.05.2022


    Format / Umfang :

    3755191 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    SATURATION FLOW ESTIMATION FOR SIGNALIZED INTERSECTIONS USING VEHICLE TRAJECTORY DATA

    ZHENG JIANFENG / LIU XIANGHONG | Europäisches Patentamt | 2020

    Freier Zugriff