The invention discloses a traffic signal single point self-learning optimization control method. The method comprises the steps that a flow detector is used to monitor the traffic flow information of each lane in real time; a traffic signal controller receives the traffic flow information fed back by the flow detector, and adjusts the green light time of the current cycle according to the traffic flow information of a lane of a previous cycle; and the actual green light passing time of each phase is determined according to the green light time of the current cycle. According to the traffic signal single point self-learning optimization control method provided by the invention, the traffic flow of each lane in each phase direction is acquired and learned; an optimized traffic signal control algorithm automatically adjusts the timing of each phase, so that the adjusted phase timing is suitable for the actual traffic operation of an intersection; and excessive or insufficient phase timing can be avoided when the traffic flow changes.


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    Title :

    Traffic signal single point self-learning optimization control method


    Contributors:
    SHI KANG (author) / WANG CHUANGEN (author) / LIN HUAGEN (author) / CHEN YAN (author)

    Publication date :

    2016-02-03


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

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



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