A robust mixed-integer linear programming model for mitigating rail transit disruptions under uncertainty
Year of publication: |
2020
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Authors: | Xu, Lei ; Ng, Tsan Sheng Adam |
Published in: |
Transportation science : a journal of the Institute for Operations Research and the Management Sciences. - Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, ISSN 0041-1655, ZDB-ID 160958-0. - Vol. 54.2020, 5, p. 1388-1407
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Subject: | rail transit commuter flow routing | uncertain disruption scenarios | two-stage robust optimization framework | cutting plane algorithm | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Robustes Verfahren | Robust statistics | Pendelverkehr | Commuting | Algorithmus | Algorithm | Schienenverkehr | Railway transport | Tourenplanung | Vehicle routing problem | Risiko | Risk |
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