Due to the lack of peak intersection congestion coordination control strategy, at present, most of the points during the peak period of the urban area only fixed cycle control, can not sense the downstream intersection queuing length in time, resulting in the downstream congestion is still normal release, so that part of the vehicle into the intersection queue, in the cross-direction before the release of the intersection can not be timely driven out of the intersection, affecting the cross-release of the vehicle traffic, resulting in intersection blockage. In the platform to introduce the peak intersection congestion coordination control strategy to reduce the length of vehicle queues to ease peak congestion, the platform is mainly responsible for congestion analysis, indicator calculation, traffic research and judgement can be found in the real-time environment of the congestion and the formulation of countermeasures to support the signal control, traffic organisation, police scheduling and so on.


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    Titel :

    Research on Big Data Traffic Congestion Analysis and Judgement Platform Technology


    Beteiligte:
    Li Xiaowei (Autor:in) / Xiong Ting (Autor:in) / Yu Mengyan (Autor:in)


    Erscheinungsdatum :

    2024




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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