A system includes one or more processors to obtain a transportation event and a transportation event time of a vehicle system at a current location on a route from an origin to a destination. The one or more processors determine transportation event conditions based on historical transportation data and predict, by mathematical optimization methods, optimal transportation routes based on one or more of historical transportation routes, contractual routes, contractual junctions, and station master data. The one or more processors cluster from the historical transportation data, by a machine learning classification method, transportation event data clusters and match at the current location the transportation event data to historical transportation data machine learning classification clusters. The one or more processors predict, by a machine learning model, an estimated time of arrival (ETA) of the vehicle system to the destination.


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    Title :

    Systems and methods for estimating time of arrival of vehicle systems


    Publication date :

    2022-08-10


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English



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