A method and system for identifying a lane changing intention of a manually driven vehicle are disclosed. The method includes: preprocessing a preset vehicle trajectory data set; extracting vehicle traveling features and driving behavior features of a target vehicle; constructing a vehicle following and lane changing decision prediction model based on machine learning, and inputting the preprocessed vehicle trajectory data set into the prediction model for training; obtaining a speed, an acceleration and a vehicle head distance of the target vehicle according to the vehicle traveling features of the target vehicle, and obtaining a large vehicle feature value and a clustering feature value according to the driving behavior features of the target vehicle; and inputting the speed, the acceleration, the vehicle head distance, the large vehicle feature value and the clustering feature value into the trained prediction model to obtain a lane changing intention identification result of the target vehicle.


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    Titel :

    Method and system for identifying lane changing intention of manually driven vehicle


    Beteiligte:
    WANG XIANG (Autor:in) / LING ZHANGJI (Autor:in) / HAN SHUFAN (Autor:in) / ZAN YUYAO (Autor:in) / XU BEIBEI (Autor:in) / SONG JIAYI (Autor:in) / FENG FANGYU (Autor:in) / PENG ZICHUN (Autor:in)

    Erscheinungsdatum :

    24.10.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte



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