The invention relates to a traffic management system for applying a deep neural network to intelligent traffic. The system comprises a data analysis and processing system and a vehicle terminal, wherein the data analysis and processing system is in communication connection with the vehicle terminal; the data analysis and processing system comprises a data analysis subsystem, a data processing subsystem and a database, the database is in communication connection with the data analysis subsystem and the data processing subsystem; the data analysis subsystem is in communication connection with the data processing subsystem; the data analysis subsystem inputs the congestion analysis data into the traffic congestion prediction model to judge whether the urban area is congested or not. The data processing subsystem initializes an initial vehicle dispersion path for each vehicle in the congested city area, and optimizes the initial vehicle dispersion path of each vehicle to obtain an optimal vehicle dispersion path of each vehicle.

    本发明涉及一种将深度神经网络应用于智慧交通的交通管理系统,其包括:数据分析处理系统和车辆终端,数据分析处理系统与车辆终端具有通信连接;所述数据分析处理系统包括:数据分析子系统、数据处理子系统和数据库,数据库分别与数据分析子系统和数据处理子系统具有通信连接;数据分析子系统与数据处理子系统间具有通信连接。数据分析子系统将拥堵分析数据输入交通拥堵预测模型以判断城市区域是否拥堵。数据处理子系统为拥堵城市区域内的每个车辆初始化一条初始车辆疏导路径,并对每个车辆的初始车辆疏导路径进行优化以得到每个车辆的最优车辆疏导路径。


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    Titel :

    Traffic management system applying deep neural network to intelligent traffic


    Weitere Titelangaben:

    一种将深度神经网络应用于智慧交通的交通管理系统


    Beteiligte:
    LIN XINGYE (Autor:in)

    Erscheinungsdatum :

    2021-08-10


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    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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