Simulation models reflecting the operation of transportation systems are supposed to utilise an appropriate realisation of decision-making procedures. The formation or selection of adequate modelling approaches and methodologies has to be done in this context. Attention is paid to a specific operational problem related to the assignment of platform tracks to delayed arriving trains within simulation models of passenger railway stations. The application of a two layered artificial neural network as a decision-making support associated with the mentioned assignment problem was investigated. The neural network reached very encouraging results with regard to the studied problem, which enables its profitable utilisation. It means, in fact, that the quality of relevant simulation models rises and the consequent credibility of corresponding simulation studies for railway companies should be increased.


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    Title :

    Artificial neural network as a support of platform track assignment within simulation models reflecting passenger railway stations


    Contributors:
    Bazant, M. (author) / Kavicka, A. (author)


    Publication date :

    2009


    Size :

    11 Seiten, 11 Bilder, 2 Tabellen, 25 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English