A multi-objective optimization-simulation approach for real time rescheduling in dense railway systems

Estelle Altazin, Stéphane Dauzère-Pérès, François Ramond and Sabine Tréfond

European Journal of Operational Research, 2020, vol. 286, issue 2, 662-672

Abstract: Rescheduling trains in dense railway systems to cope in real time with limited disturbances is a challenging problem with multiple conflicting objectives and various types of decisions. Based on the French railway system in the Paris region, this paper proposes an approach combining multi-objective optimization, to select rescheduling decisions, and macroscopic simulation, to compute the objectives associated to these decisions. Possible decisions include canceling or short-turning trains and skipping or adding stops. Three main objectives are optimized to propose multiple solutions to the decision makers: The recovery time, the quality of service for passengers and the number of decisions. Two greedy heuristics are presented whose results on actual data are compared with a full enumeration method. The multi-objective feature of the approach is also analyzed. The implementation and successful validation in real life of a decision-support tool, that is now implemented, is discussed.

Keywords: Transportation; Real time rescheduling; Optimization and simulation; Multi-objective; Dense railway system (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:286:y:2020:i:2:p:662-672

DOI: 10.1016/j.ejor.2020.03.034

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