A machine learning device includes a processor that executes a procedure. The procedure includes: based on route information indicating movement conditions of a plurality of respective moving bodies in a specific geographical range at each of a plurality of time points, generating traffic flow information indicating a number of moving bodies located at respective route segments within the specific geographical range for each of the plurality of time points; and by using training data that includes the traffic flow information as input feature values and includes information indicating a degree of congestion of traffic in the specific geographical range at a time point corresponding to the traffic flow information as label information, training a machine learning model for deriving a degree of congestion of traffic corresponding to traffic flow information.


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    Title :

    STORAGE MEDIUM STORED WITH MACHINE LEARNING PROGRAM, METHOD, AND DEVICE


    Contributors:

    Publication date :

    2024-12-05


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    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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