Marshalling station is the key link in a railway network. The two operations, disintegration and marshalling, are the important factors to limit the ability of the marshalling station. According to these two operations, this paper used the BP neural network model to do a simulation on three levels, which are the arrival forecasting, the conditions of disintegration and aggregation, and the generation of marshalling. Finally, we programmed simulations on the Chengdu North Marshalling Station and got the related reference data.


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    Title :

    Marshalling Yard Simulation Based on BP Neural Network Model


    Contributors:
    Wang, Xuan (author) / Rong, Li (author)

    Conference:

    Fourth International Conference on Transportation Engineering ; 2013 ; Chengdu, China


    Published in:

    ICTE 2013 ; 1117-1122


    Publication date :

    2013-10-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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