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Bianca Pascariu
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In railway systems, unexpected disturbances often make the planned train schedule infeasible. The real-time Railway Traffic Management Problem (rtRTMP) consists in applying retiming, reordering and rerouting of trains with the aim of minimizing delay propagation. In this work, we additionally consider the option of skipping stops to further reduce delays. We extend the RECIFE-MILP model, a Mixed Integer Linear Programming based heuristic for the rtRTMP with microscopic network description, by including stop-skipping. We evaluate the benefit and impact of this rescheduling measure on train and passenger delays in a suburban railway network.
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In railway systems, unexpected disturbances often make the planned train schedule infeasible. The real-time Railway Traffic Management Problem (rtRTMP) consists in applying retiming, reordering and rerouting of trains with the aim of minimizing delay propagation. In this work, we additionally consider the option of skipping stops to further reduce delays. We extend the RECIFE-MILP model, a Mixed Integer Linear Programming based heuristic for the rtRTMP with microscopic network description, by including stop-skipping. We evaluate the benefit and impact of this rescheduling measure on train and passenger delays in a suburban railway network.