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.
Modeling Train Traffic Flow Using Cellular Automata
Second International Conference on Transportation Information and Safety ; 2013 ; Wuhan, China
ICTIS 2013 ; 1926-1931
11.06.2013
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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