The traditional signal timing at intersections is only from the point of improving the traffic efficiency, and it does not take into account the pedestrian factors at intersections and vehicle exhaust emissions, which is easy to aggravate environmental pollution. This paper examines the relationship between vehicle delay, pedestrian delay, parking rates, traffic capacity and exhaust emissions, and develops a hierarchical multi-objective optimization signals framework to optimize fixed-time traffic based on survey at isolated signalized interactions. The optimized frame is solved by the particle swarm optimization, and the traffic light time of each phase is calculated by the flow ratio formulas. Using this method, the vehicle delay can be reduced by 18.7%, the queue length can be reduced by 15.5%. To a certain extent, using this timing scheme can improve road capacity, reduce traffic accidents, reduce tail gas emissions and reduce road congestion.


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    Titel :

    Research on Intersection Signal Timing Based on Multi-Objective Linear Combination


    Beteiligte:
    Liu, Lujian (Autor:in) / Wei, Liying (Autor:in)


    Erscheinungsdatum :

    01.10.2022


    Format / Umfang :

    1071575 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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