Modeling Moving-Block Railway Systems: A Generalized Batches Petri Net Approach

Instead of conventional signaling systems (fixed-block signaling systems), moving-block signaling systems are in use to increase transport capacity by reducing headways on railway lines. A moving-block is considered as the sum of the length of the train and the safe following distance between trains. Communication Based Train Control (CBTC) systems and European Rail Traffic Management System (ERTMS) application level 3 are examples of moving-block signaling systems. In this study, speed control of two consecutive trains as moving-block is realized in two levels: the modeling level and the control level. To cope with both discrete and continuous behavior of the moving-block signaling system, a Generalized Batches Petri Net (GBPN) approach is used for modeling the system whereas a fuzzy logic control method is proposed at the control level. Simulation results are shown in order to demonstrate the accuracy of the proposed approach.

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