To predict future traffic situations in a plurality of zones of a road through simple processing.SOLUTION: A traffic situation prediction device comprises: a learning processing unit which generates a prediction model by performing machine learning based on teacher data defining, as input data, past traffic situation data before a past predetermined time point for each group obtained by dividing a plurality of zones resulting from dividing a road where a vehicle travels into groups based on similarity of traffic situation data and defining, as output data, past traffic situation data after the predetermined time point, in which a zone having a higher possibility to be a bottleneck of congestion is weighted heavier among the plurality of zones within a group; an acquisition unit which acquires present traffic situation data collected by a road information collection terminal for each zone; and a prediction processing unit which defines the present traffic situation data as input data for each zone and acquires future traffic situation data as output data based on the prediction model corresponding to a group to which the zone belongs.SELECTED DRAWING: Figure 8

    【課題】道路の複数の区間の将来の交通状況を簡潔な処理で予測する。【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を分割した複数の区間を交通状況データの類似性に基づいて群化した群ごとに、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過去交通状況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予測モデルを生成し、その場合に、群内の複数の区間について、渋滞のボトルネックになる可能性の高い区間ほど重く重み付けして、前記予測モデルを生成する学習処理部と、前記区間ごとに、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、前記区間ごとに、前記現在交通状況データを入力データとし、当該区間が属する群に対応付けられた前記予測モデルに基づいて、出力データとして、将来の交通状況データを取得する予測処理部と、を備える。【選択図】図8


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    Title :

    TRAFFIC SITUATION PREDICTION DEVICE, AND TRAFFIC SITUATION 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 :

    2023-07-04


    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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