The invention relates to a traffic jam prediction method and system. The method comprises the following steps: acquiring historical trajectory data of all vehicles in a road network to be predicted, wherein the to-be-predicted road network is composed of a plurality of road sections; for any road section, obtaining the average speed of the road section in a set time period according to the historical trajectory data of all the vehicles in the set time period of the road section; determining the average speed of each road section in all time periods as a congestion feature matrix of the road network to be predicted; obtaining an adjacent matrix of the to-be-predicted road network according to the position relation of all the road sections in the to-be-predicted road network; and inputting the congestion feature matrix of the road network to be predicted and the adjacent matrix of the road network to be predicted into a congestion prediction model to obtain a congestion prediction result. According to the invention, the prediction condition of traffic jam can be improved.

    本发明涉及一种交通拥堵预测方法及系统。所述方法包括获取待预测路网内所有车辆的历史轨迹数据;所述待预测路网由多个路段组成;对于任意一个路段,根据所述路段在设定时间段内所有车辆的历史轨迹数据得到设定时间段内所述路段的平均速度;将所有时间段内各路段的平均速度确定为所述待预测路网的拥堵特征矩阵;根据所述待预测路网中所有路段的位置关系得到所述待预测路网的邻接矩阵;将所述待预测路网的拥堵特征矩阵和所述待预测路网的邻接矩阵输入拥堵预测模型得到拥堵预测结果。本发明能够提高交通拥堵的预测情况。


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    Titel :

    Traffic jam prediction method and system


    Weitere Titelangaben:

    一种交通拥堵预测方法及系统


    Beteiligte:
    LI SONGJIANG (Autor:in) / ZHAO JIANHONG (Autor:in) / YANG DI (Autor:in) / WANG PENG (Autor:in) / REN ZHIPENG (Autor:in) / SONG XIAOLONG (Autor:in)

    Erscheinungsdatum :

    2021-07-23


    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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