Vehicle accident prediction system, vehicle accident prediction method, vehicle accident prediction program, and learned model generation system acquiring feature quantity group data (D1) including first feature quantity (D11) indicating attribute of driver of vehicle, second feature quantity (D12) indicating state of vehicle, and third feature quantity (D13) obtained by combining a plurality of second feature quantities (D12) A learning data set (D3) configured from feature quantity group data (D1) and accident data (D2) relating to a vehicle accident is acquired, a learned model (M) for predicting the vehicle accident from the feature quantity group data (D1) is generated by learning using the plurality of acquired learning data sets (D3), the feature quantity group data (D1) to be predicted is input, and the feature quantity group data (D1) to be predicted is predicted using the generated learned model (M). An accident of the vehicle is predicted on the basis of the inputted feature quantity group data (D1).
车辆事故预测系统、车辆事故预测方法、车辆事故预测程序以及已学习模型生成系统获取由包含表示车辆的驾驶员的属性的第一特征量(D11)、表示车辆的状态的第二特征量(D12)、以及组合了多个第二特征量(D12)而成的第三特征量(D13)的特征量组数据(D1)和与车辆的事故相关的事故数据(D2)构成的学习用数据集(D3),使用获取到的多个学习用数据集(D3),通过学习生成根据特征量组数据(D1)预测车辆的事故的已学习模型(M),输入成为预测对象的特征量组数据(D1),使用所生成的已学习模型(M),根据输入的特征量组数据(D1)预测车辆的事故。
Vehicle accident prediction system, vehicle accident prediction method, vehicle accident prediction program, and learned model generation system
车辆事故预测系统、车辆事故预测方法、车辆事故预测程序以及已学习模型生成系统
2023-05-02
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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