The disclosed embodiments illustrate methods of data processing for real-time prediction of crowdedness in vehicles in transit. The method includes receiving a current location of a vehicle, a real-time traffic information along a route of transit, and a current passenger demand at a first subsequent station and a second subsequent station. The method includes predicting a dwell time for the vehicle corresponding to the first subsequent station. The method includes predicting an arrival time instant of the vehicle at the second subsequent station based on a predicted first travel time of the vehicle, a predicted second travel time of the vehicle, and the predicted dwell time. The method includes predicting a passenger occupancy of the vehicle at the predicted arrival time instant at the second subsequent station based on at least a first passenger demand, a second passenger demand associated with the second subsequent station, and a passenger alighting pattern.


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    Title :

    METHOD AND SYSTEM FOR REAL-TIME PREDICTION OF CROWDEDNESS IN VEHICLES IN TRANSIT


    Contributors:

    Publication date :

    2018-03-22


    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 / G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS



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