An arrival time prediction system and method based on random-type neural network groups is provided. Locating information (longitude and latitude coordinates) is periodically obtained by vehicle-mounted mobile equipment, comparison is carried out with site information (a polygonal or round region) in the vehicle-mounted mobile equipment to determine if the equipment arrives at or leaves a station, and arrival or leaving information and timing are reported back to a cloud server. The cloud server is responsible for collecting the arrival or leaving information reported by the vehicle-mounted mobile equipment and analyzing travelling time among the stations, storing the data into a cloud database server, and aggregating the travel time data so as to train parameter values of a random-type neural network group algorithm.


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    Titel :

    Arrival time prediction system and method


    Beteiligte:
    CHEN ZHIHUA (Autor:in) / PANG JINGYUN (Autor:in) / XIE JIAMIN (Autor:in) / GUAN DASHENG (Autor:in)

    Erscheinungsdatum :

    17.06.2015


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

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




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