Aiming at enhancing the estimation performance of passenger volume for urban transit, based on analysis of horizontal and vertical characteristics and principles of multiple fusion technology, respectively, establishing 3 forecast models, and compared with the measured data. The results show that, the proposed new method has a comparative advantage to reduce prediction error.


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    Title :

    Short-Time Passenger Volume Forecasting of Urban Rail Transit Based on Multiple Fusion


    Contributors:

    Published in:

    Publication date :

    2014-09-19


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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