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Rescheduling of Railway Rolling Stock with Dynamic Passenger Flows

Leo Kroon (), Gábor Maróti () and Lars Nielsen ()
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Leo Kroon: Rotterdam School of Management, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands; and Netherlands Railways, 3500 HA Utrecht, The Netherlands
Gábor Maróti: Faculty of Economics and Business Administration, VU University Amsterdam, 1081 HV Amsterdam, The Netherlands; and Netherlands Railways, 3500 HA Utrecht, The Netherlands
Lars Nielsen: Quintiq Applications, 5232 CD ‘s-Hertogenbosch, The Netherlands

Transportation Science, 2015, vol. 49, issue 2, 165-184

Abstract: In this paper we describe a real-time rolling stock rescheduling model for disruption management of passenger railways. Large-scale disruptions, e.g., due to malfunctioning infrastructure or rolling stock, usually result in the cancellation of train services. As a consequence, the passenger flows change, because passengers will look for alternative routes to get to their destinations. Our model takes these dynamic passenger flows into account. This is in contrast with most traditional rolling stock rescheduling models that consider the passenger flows either as static or as given input. Furthermore, we describe an iterative heuristic for solving the rolling stock rescheduling model with dynamic passenger flows. The model and the heuristic were tested on realistic problem instances of Netherlands Railways, the major operator of passenger trains in the Netherlands. The computational results show that the average delay of the passengers can be reduced significantly by taking into account the dynamic behavior of the passenger flows on the detour routes, and that the computation times of the iterative heuristic are appropriate for an application in real-time disruption management.

Keywords: passenger railways; disruption management; dynamic passenger flows; rolling stock rescheduling (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (19)

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