A vehicle accident prediction system, a vehicle accident prediction method, a vehicle accident prediction program, and a learned model creation system obtain a training data set containing feature group data, which includes a first feature representing an attribute of a driver of a vehicle, a second feature representing a state of the vehicle, and a third feature combining a plurality of second features, and accident data relating to an accident of the vehicle, create, through learning, a learned model that predicts an accident of the vehicle from the feature group data using a plurality of the obtained training data sets, input the feature group data that is to be a prediction target, and predict an accident of the vehicle from the input feature group data using the created learned model.


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    Title :

    VEHICLE ACCIDENT PREDICTION SYSTEM, VEHICLE ACCIDENT PREDICTION METHOD, VEHICLE ACCIDENT PREDICTION PROGRAM, AND LEARNED MODEL CREATION SYSTEM


    Contributors:

    Publication date :

    2023-06-08


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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