The invention relates to the technical field of artificial intelligence, particularly provides a driving behavior risk prediction method and device, equipment and a storage medium, and aims to solve the problem of how to improve model training efficiency and prediction accuracy for different user groups. In order to achieve the purpose, the driving behavior risk prediction method comprises the steps that a pre-training model for driving behavior risk prediction is constructed based on original group vehicle data; the pre-training model parameters are finely adjusted based on target group vehicle data and trained to converge, and a driving behavior risk prediction model is obtained; and based on the driving behavior risk prediction model, carrying out risk prediction on a target group of vehicles.

    本发明涉及人工智能技术领域,具体提供一种驾驶行为风险预测方法、装置、设备及存储介质,旨在解决针对不同用户群体,如何提高模型训练效率和预测准确性的问题。为此目的,本发明的一种驾驶行为风险预测方法,所述方法包括:基于原始群体车辆数据构建驾驶行为风险预测的预训练模型;基于目标群体车辆数据微调所述预训练模型参数并训练至收敛,得到驾驶行为风险预测模型;基于所述驾驶行为风险预测模型,对目标群体车辆进行风险预测。


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    Title :

    Driving behavior risk prediction method and device, equipment and storage medium


    Additional title:

    驾驶行为风险预测方法、装置、设备及存储介质


    Contributors:
    LU XIN (author)

    Publication date :

    2023-08-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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