 Credibility-based rescheduling model in a double-track railway network: a fuzzy reliable optimization approachLixing Yang, Xuesong Zhou and Ziyou Gao Omega, 2014, vol. 48, issue C, 75-93 Abstract: Using a space–time network to represent the choice of train trajectories, this paper proposes a fuzzy optimization framework to reschedule trains in a double-track railway network when the capacity reduction is caused by a low-probability incident. We explicitly introduce a fuzzy variable-based recovery time to capture the uncertainty of incident duration based on professional judgements or empirical estimates. The problem is then formulated as a credibilistic two-stage fuzzy 0–1 integer optimization model to find a reliable operational plan for emergency response guidance. The first stage of the model aims to generate a traversing order on the incident link, and meanwhile the second stage adaptively generates optimized schedules to evaluate the operational plan. Crisp equivalents of mathematical models are further investigated to simplify solution methodologies. The numerical experiments, which are solved by using the GAMS optimization software, demonstrate the effectiveness and efficiency of the proposed approaches. Keywords: Train rescheduling; Fuzzy variable; Space–time network (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:48:y:2014:i:c:p:75-93 Ordering information: This journal article can be ordered from DOI: 10.1016/j.omega.2013.11.004 Access Statistics for this article Omega is currently edited by B. Lev More articles in Omega from Elsevier |
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