本发明涉及一种大规模城市道路交通灯智能控制系统及方法。所述大规模城市道路交通灯智能控制系统,在采用交通感知端获取城市交通各道路的交通负载信息后,采用搭建有融合脑胶质细胞的脉冲神经网络模型的云脑端,基于交通负载信息生成交通控制信号,然后,采用交通控制端基于交通控制信号控制各道路的交通灯,以能够降低计算功耗,进而解决大规模交通路网交通灯的自适应控制问题。

    The invention relates to a large-scale urban road traffic light intelligent control system and method. According to the large-scale urban road traffic light intelligent control system, after traffic load information of each road of urban traffic is obtained by adopting a traffic sensing end, a cloud brain end with a pulse neural network model fused with brain glial cells is adopted to generate a traffic control signal based on the traffic load information, and then the traffic control signal is sent to the cloud brain end. The traffic control end is adopted to control the traffic lights of each road based on the traffic control signal, so that the calculation power consumption can be reduced, and the adaptive control problem of the traffic lights of the large-scale traffic road network is solved.


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    Titel :

    一种大规模城市道路交通灯智能控制系统及方法


    Erscheinungsdatum :

    2024-06-14


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS