The invention discloses a traffic vehicle driving risk assessment method. The method comprises the following steps: extracting target scene data from an original public data set; constructing an exposure quantification Transformer model, predicting the driving intentions of surrounding vehicles through the model, and further calculating the exposure E of the driving risk of the main vehicle; calculating the severity S of the driving risk of the main vehicle considering the vehicle type; calculating the controllability C of the driving risk between the main vehicle and any surrounding vehicle based on the acceleration change amplitude of the main vehicle; multiplying the calculated driving risk exposure degree E, the controllability degree C and the severity degree S to obtain a risk assessment result R between the two vehicles; and taking the maximum value of the risk assessment result R between the main vehicle and all surrounding vehicles as the driving risk assessment result of the main vehicle. According to the method, the driving risk influence factors of the traffic vehicle are decoupled and are respectively and quantitatively analyzed, the three indexes of risk assessment are respectively quantified, and the total driving risk value is finally obtained.

    本发明公开了一种交通车辆行驶风险评估方法,包括以下步骤:从原始公开数据集提取目标场景数据;构建曝光度量化Transformer模型,通过模型预测周车的驾驶意图,进而计算主车行驶风险的曝光度E;进行考虑车辆类型的主车行驶风险的严重度S计算;基于主车加速度变化幅度,计算主车与任意周车之间行驶风险的可控度C;将计算得到的行驶风险曝光度E、可控度C和严重度S相乘即得到两车之间的风险评估结果R;将主车与所有周车之间风险评估结果R的最大值作为主车的行驶风险评估结果。本发明对交通车辆的行驶风险影响因素进行解耦并分别定量分析,将风险评估的三个指标分别量化并最终得到总的行车风险值。


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    Titel :

    Traffic vehicle driving risk assessment method


    Weitere Titelangaben:

    一种交通车辆行驶风险评估方法


    Beteiligte:
    ZHAN JUN (Autor:in) / XI FULONG (Autor:in) / ZHONG ZHAOHUI (Autor:in)

    Erscheinungsdatum :

    30.08.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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