The invention discloses an intelligent traffic signal lamp control system and method based on a YOLO model. The system comprises an image acquisition module, an image processing module, an information processing module and a control module. The image acquisition module is used for acquiring traffic condition video information of an intersection; the image processing module is used for processing the traffic condition video information to obtain traffic information, and the traffic information comprises vehicle data and pedestrian data; the information processing module is used for generating a signal lamp duration distribution condition based on the traffic information; and the control module controls the signal lamp based on the signal lamp duration distribution condition. The number of vehicles is identified by artificial intelligence, the method is applied to the traffic lights, the traffic lights are controlled in a self-adaptive manner, traffic congestion is reduced, and the road passing speed is increased. The number of vehicles can be recognized, pedestrians waiting for crossing the road can be recognized, special situations can be responded in time, and the road safety is improved.

    本发明公开了一种基于YOLO模型的智能交通信号灯控制系统及方法,系统包括:图像采集模块、图像处理模块、信息处理模块和控制模块;所述图像采集模块用于采集路口的交通情况视频信息;所述图像处理模块用于对所述交通情况视频信息进行处理,得到交通信息,所述交通信息包括:车辆数据和行人数据;所述信息处理模块用于基于所述交通信息生成信号灯时长分配情况;所述控制模块基于所述信号灯时长分配情况控制信号灯。本发明利用人工智能识别车辆的数量,提出了其在交通信号灯上进行应用,自适应对信号灯控制,减少交通拥堵,提高道路通行速度。除了识别车辆的数量外,还对等待过马路的行人进行识别,及时响应特殊情况,提高道路安全性。


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    Title :

    Intelligent traffic signal lamp control system and method based on YOLO model


    Additional title:

    一种基于YOLO模型的智能交通信号灯控制系统及方法


    Contributors:
    LU GAOJIAN (author)

    Publication date :

    2023-12-22


    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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