A traffic signal control system comprises a training-used neural-like network, a decision-making-used neural-like network and a control unit. And the training-used neural network performs reinforcement learning through a plurality of training-used data. And the decision-making similar neural network analyzes the real-time traffic data according to the training result of the training similar neural network so as to generate a decision of the traffic signal in the corresponding control range. A control unit controls the traffic signal within a control range using the decision.

    一种交通信号控制系统,包括:训练用类神经网络、决策用类神经网络及控制单元。训练用类神经网络通过多个训练用数据进行强化学习。决策用类神经网络根据训练用类神经网络的训练成果对实时交通数据进行分析,以产生对应控制范围内的交通信号的决策。控制单元利用该决策控制控制范围内的该交通信号。


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    Title :

    Artificial intelligence type traffic signal control system and method


    Additional title:

    人工智能型交通信号控制系统及方法


    Contributors:
    WAN JIAHAO (author) / HUANG YOUHENG (author) / XU JIAJUN (author) / HUANG MINGCHONG (author)

    Publication date :

    2023-10-27


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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