A congestion prediction device, a congestion prediction method, and a storage medium are provided. A mapping outputs an output variable when input variables are input to the mapping. The output variable indicates a degree of congestion in a predetermined specific area. The mapping is learned in advance by machine learning. The input variables include congestion variables. Each of the congestion variables indicates a degree of congestion in the specific area at regular time intervals within a specific period. The output variable indicates a degree of congestion after a lapse of the regular time interval from an end time of the specific period.


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    Title :

    CONGESTION PREDICTION DEVICE, CONGESTION PREDICTION METHOD, AND STORAGE MEDIUM


    Contributors:

    Publication date :

    2024-04-04


    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



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