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dc.date.accessioned2023-01-19T18:17:09Z
dc.date.available2023-01-19T18:17:09Z
dc.date.created2022-02-01T16:51:41Z
dc.date.issued2022
dc.identifier.citationDal Sasso, Veronica Lamorgese, Leonardo Mannino, Carlo Tancredi, Antonio Ventura, Paolo . Easy Cases of Deadlock Detection in Train Scheduling. Operations Research. 2022, 70(4), 2101-2118
dc.identifier.urihttp://hdl.handle.net/10852/98971
dc.description.abstractIn a railway network, a deadlock occurs when two or more trains are preventing each other from moving forward by each occupying the tracks required by the other. Deadlocks are rare but pernicious events in railroad operations, and, in most cases, they are caused by human errors and involve only two extra-long trains missing their last potential meet location. In “Easy Cases of Deadlock Detection in Train Scheduling,” V. Dal Sasso, L. Lamorgese C. Mannino, A. Tancredi, and P. Ventura prove that the identification of two-train deadlocks can be performed in polynomial time. Moreover, they also present a pseudo-polynomial but efficient oracle that allows real-time early detection and prevention of any (potential) two-train deadlock in the Union Pacific (a U.S. class 1 rail company) railroad network. A deadlock prevention module based on the work in this paper will be put in place at Union Pacific to prevent all deadlocks of this kind.
dc.languageEN
dc.titleEasy Cases of Deadlock Detection in Train Scheduling
dc.title.alternativeENEngelskEnglishEasy Cases of Deadlock Detection in Train Scheduling
dc.typeJournal article
dc.creator.authorDal Sasso, Veronica
dc.creator.authorLamorgese, Leonardo
dc.creator.authorMannino, Carlo
dc.creator.authorTancredi, Antonio
dc.creator.authorVentura, Paolo
cristin.unitcode185,15,13,25
cristin.unitnameStatistikk og Data Science
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.cristin1996554
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Operations Research&rft.volume=70&rft.spage=2101&rft.date=2022
dc.identifier.jtitleOperations Research
dc.identifier.volume70
dc.identifier.issue4
dc.identifier.startpage2101
dc.identifier.endpage2118
dc.identifier.doihttps://doi.org/10.1287/opre.2022.2283
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0030-364X
dc.type.versionAcceptedVersion
dc.relation.projectNFR/267554
dc.relation.projectNFR/237718


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