This paper is concerned with increasing the safety of railway transportation using Cellular Automata (CA). Train traffic flow considers as a spatial and dynamic complex process. In the proposed algorithm, the dynamic system was divided to discrete cells in space and time, each in one of a finite number of states. For each cell, a set of cells called its neighborhood is defined. An initial state is selected by assigning a state for each cell. The new state of each cell was determined in terms of the current state of the cell, the states of the cells in its neighborhood and a transition rule. The results showed the efficiency of the proposed method to model train traffic flow in the railway transportation system.


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    Titel :

    Modeling Train Traffic Flow Using Cellular Automata


    Beteiligte:

    Kongress:

    Second International Conference on Transportation Information and Safety ; 2013 ; Wuhan, China


    Erschienen in:

    ICTIS 2013 ; 1926-1931


    Erscheinungsdatum :

    11.06.2013




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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