The invention provides a driving time prediction method, a driving time prediction model training method, equipment and a medium, and relates to the technical field of artificial intelligence, in particular to the technical field of intelligent traffic, deep learning and map navigation. According to the specific implementation scheme, a bus route map and a bus station map are constructed according to road network data, bus network data and traffic condition data; obtaining a query bus route between the starting point and the terminal point, station popularity information of stations in the query bus route, and current time information; and adopting the bus route map, the bus station map, the inquired bus route, the station popularity information and the current time information to predict the bus driving time of the inquired bus route. According to the technical scheme, the prediction precision of the bus driving time can be improved.

    本公开提供了一种行驶时间预测方法、行驶时间预测模型的训练方法、设备及介质,涉及人工智能技术领域,具体涉及智能交通、深度学习、地图导航技术领域。具体实现方案为:根据路网数据、公交网数据和交通状况数据,构建公交线路图和公交站点图;获取起点和终点之间的查询公交路线、所述查询公交路线中站点的站点热度信息、以及当前时间信息;采用所述公交线路图、所述公交站点图、所述查询公交路线、所述站点热度信息、以及所述当前时间信息,预测所述查询公交路线的公交行驶时间。通过上述技术方案,能够提高公交行驶时间的预测精度。


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    Titel :

    Driving time prediction method, training method of driving time prediction model, equipment and medium


    Weitere Titelangaben:

    行驶时间预测方法、行驶时间预测模型的训练方法、设备及介质


    Beteiligte:
    RONG YUECHENG (Autor:in) / FANG YIFAN (Autor:in) / LUO WEI (Autor:in) / LIN JINZHU (Autor:in) / ZHANG YAN (Autor:in)

    Erscheinungsdatum :

    2023-10-24


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

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



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