The paper presents a Short term Transit Occupancy Predictor tool (STOP), which allows to evaluate and predict the number of on-board passengers for each vehicle of the transit system using also real-time information on passenger counts, if available. The first part describes the user needs and the logical architecture of the tool. The second part deals with the modeling framework implemented to provide the best real time vehicle occupancy predictions. Finally, the results of a preliminary real case application are presented.


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    Title :

    STOP: A Short term Transit Occupancy Prediction tool for APTIS and real time transit management systems


    Contributors:
    Nuzzolo, A. (author) / Crisalli, U. (author) / Rosati, L. (author) / Ibeas, A. (author)


    Publication date :

    2013-10-01


    Size :

    1102880 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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