To accurately predict a speed of a vehicle and a congestion degree on a road.SOLUTION: A traffic state prediction device includes: a learning processing section for generating a learning model by performing machine learning based on teacher data, where past traffic state data before a past predetermined time point is defined as input data and speed data of a vehicle and congestion degree data after the predetermined time point is defined as output data, concerning a road on which the vehicle travels; an acquisition section for acquiring present traffic state data collected by road information collection terminals concerning the road; and a prediction processing section for acquiring at least one of future vehicle speed data and the congestion degree data as output data based on the learning model by defining the present traffic state data as input data.SELECTED DRAWING: Figure 3

    【課題】道路における車両の速度と渋滞度を高精度に予測する。【解決手段】実施形態の交通状況予測装置は、車両が走行する道路について、過去の所定時点より前の過去交通状況データを入力データとし、前記所定時点より後の車両の速度データと渋滞度データを出力データとする教師データに基づいて機械学習を行うことによって学習モデルを生成する学習処理部と、前記道路について、道路情報収集端末によって収集された現在交通状況データを取得する取得部と、前記現在交通状況データを入力データとし、前記学習モデルに基づいて、出力データとして、将来の車両の速度データ、および、渋滞度データの少なくとも一方を取得する予測処理部と、を備える。【選択図】図3


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    Title :

    TRAFFIC STATE PREDICTION DEVICE AND TRAFFIC STATE PREDICTION METHOD


    Additional title:

    交通状況予測装置、および、交通状況予測方法


    Contributors:

    Publication date :

    2022-06-14


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Japanese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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