The invention relates to the technical field of traffic optimization, in particular to an urban traffic optimization system, which comprises a sensor comprehensive module, a camera monitoring module and a comparison and optimization module, the camera monitoring module collects vehicle traffic picture data by using a camera, and predicts the number of vehicles on the vehicle traffic picture data by using a YOLO neural network model; the comparison and optimization module collects a vehicle number threshold value range specified by traffic flow management, receives the vehicle number predicted by the sensor integration module and the camera monitoring module, carries out summation and averaging, compares a summation and averaging result with the threshold value range, and sends a comparison result to the traffic flow management module. And determining a final result according to a comparison result, and carrying out optimization processing on methods in the sensor integration module and the camera monitoring module.

    本发明涉及交通优化技术领域,具体为一种城市交通优化系统,包括传感器综合模块、摄像头监控模块和比对与优化模块,其中:传感器综合模块利用多种传感器收集车辆交通传感数据,并利用决策树算法模型对车辆交通传感数据进行车辆数量的预测,摄像头监控模块利用摄像头收集车辆交通图片数据,并利用YOLO神经网络模型对车辆交通图片数据进行车辆数量的预测,比对与优化模块收集交通流量管理所规定的车辆数量阈值范围,并接受传感器综合模块和摄像头监控模块预测的车辆数量,进行求和平均,将求和平均的结果与阈值范围进行比较,根据比较结果确定最终结果以及对传感器综合模块和摄像头监控模块中的方法进行优化处理。


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    Titel :

    Urban traffic optimization system


    Weitere Titelangaben:

    一种城市交通优化系统


    Beteiligte:
    XU JIE (Autor:in)

    Erscheinungsdatum :

    2024-03-08


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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