The invention provides a TinyML-based adaptive traffic control method, which belongs to the fields of machine learning, TinyML and edge computing, and is characterized in that the speed and the length of a vehicle are counted and calculated through a sensor and an MCU template, and the duration required for passing through a green light is calculated. The duration of the traffic light is changed, and traffic pressure is relieved.

    本发明提供一种基于TinyML的自适应交通控制方法,属于机器学习,TinyML,边缘计算领域,通过传感器和MCU模板,统计计算车辆的速度和长度,计算出通过绿灯所需要的持续时间。更改交通灯的持续时间,缓解交通压力。


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    Title :

    Adaptive traffic control method based on TinyML


    Additional title:

    一种基于TinyML的自适应交通控制方法


    Contributors:
    SONG CHEN (author) / GE JUNZHENG (author) / LI RUI (author)

    Publication date :

    2022-11-04


    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



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