Systems and methods are provided for estimating an arrival time associated with a trip. The exemplary method receives trip information including an origin and a destination of the trip, and determines a route connecting the origin and the destination. The route includes a plurality of road segments. The method then receives transportation information associated with the road segments of the route and extracts global features and local features from the transportation information. Each global feature is indicative of characteristics involving at least two of the road segments, and each local feature is indicative of characteristics related to an individual one of the road segments. The method applies a machine learning model to estimate the arrival time, which includes a first neural network dedicated to process the global features and a second neural network dedicated to process the local features. The first neural network is distinct from the second neural network.


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    Title :

    SYSTEM AND METHOD FOR ESTIMATING ARRIVAL TIME


    Additional title:

    SYSTEM UND VERFAHREN ZUR SCHÄTZUNG DER ANKUNFTSZEIT
    SYSTÈME ET PROCÉDÉ D'ESTIMATION D'HEURE D'ARRIVÉE


    Contributors:
    FU KUN (author) / WANG ZHENG (author)

    Publication date :

    2021-11-10


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

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



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