dc.contributor.author | Altazin, Estelle | |
dc.contributor.author | Dauzère-Pérès, Stéphane | |
dc.contributor.author | Ramond, François | |
dc.contributor.author | Tréfond, Sabine | |
dc.date.accessioned | 2021-09-21T10:53:48Z | |
dc.date.available | 2021-09-21T10:53:48Z | |
dc.date.created | 2020-07-16T11:41:15Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | European Journal of Operational Research. 2020, 286 (2), 662-672. | en_US |
dc.identifier.issn | 0377-2217 | |
dc.identifier.uri | https://hdl.handle.net/11250/2779820 | |
dc.description.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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | A multi-objective optimization-simulation approach for real time rescheduling in dense railway systems | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 662-672 | en_US |
dc.source.volume | 286 | en_US |
dc.source.journal | European Journal of Operational Research | en_US |
dc.source.issue | 2 | en_US |
dc.identifier.doi | 10.1016/j.ejor.2020.03.034 | |
dc.identifier.cristin | 1819575 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |