A congestion prediction device (120) includes a correction-model generating unit (152) that generates a correction model that is a learning model for predicting, from values detected by one or more sensors, congestion-related information of a time point at which the one or more sensors perform detection, where the first model is generated by using values indicated by past sensor data indicating the values detected in the past by the one or more sensors installed in n areas out of m areas (where m is an integer of two or more) as input data and using the congestion-related information indicated by past congestion-area data indicating the congestion-related information including a past congestion level of each of the m areas as correct data; and a model learning unit (162) that generates a prediction model that is a learning model for predicting a future congestion level from the congestion-related information, by using the congestion-related information of a first time point indicated by the past congestion-area data as input data and using the congestion level in the congestion-related information of a second time point indicated by the past congestion-area data as correct data, the second time point being a time point after the first time point.


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    Title :

    TRAINING DEVICE, PREDICTION DEVICE, TRAINING PREDICTION DEVICE, PROGRAM, TRAINING METHOD, PREDICTION METHOD, AND TRAINING PREDICTION METHOD


    Additional title:

    TRAININGSVORRICHTUNG, VORHERSAGEVORRICHTUNG, TRAININGSVORHERSAGEVORRICHTUNG, PROGRAMM, TRAININGSVERFAHREN, VORHERSAGEVERFAHREN UND TRAININGSVORHERSAGEVERFAHREN
    DISPOSITIF D'ENTRAÎNEMENT, DISPOSITIF DE PRÉDICTION, DISPOSITIF DE PRÉDICTION D'ENTRAÎNEMENT, PROGRAMME, PROCÉDÉ D'ENTRAÎNEMENT, PROCÉDÉ DE PRÉDICTION ET PROCÉDÉ DE PRÉDICTION D'ENTRAÎNEMENT


    Contributors:
    ITO DAISHIN (author)

    Publication date :

    2024-11-06


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / 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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