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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    Titel :

    CONGESTION PREDICTION DEVICE, CONGESTION PREDICTION METHOD, AND STORAGE MEDIUM


    Beteiligte:
    SHIOMI AYUMU (Autor:in) / MIYAGAWA ATSUSHI (Autor:in) / TAKEUCHI HIROKI (Autor:in) / KAWAI TOSHIYUKI (Autor:in) / FUKAYA RYOSUKE (Autor:in) / TOKITA HIROYUKI (Autor:in) / IKENOUE YUSUKE (Autor:in) / KATO TSUKASA (Autor:in) / YOSHIKAWA KATSUHISA (Autor:in) / ICHIJYO YUTA (Autor:in)

    Erscheinungsdatum :

    04.04.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    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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