Column Generation with Dynamic Duty Selection for Railway Crew Rescheduling

D (Daniel) Potthoff, Dennis Huisman, G Desaulniers

Research output: Contribution to journalArticleAcademicpeer-review

52 Citations (Scopus)

Abstract

The Dutch railway network experiences about three large disruptions per day on average. In this paper, we present an algorithm to reschedule the crews when such a disruption occurs. The algorithm is based on column generation techniques combined with Lagrangian heuristics. Since the number of duties is very large in practical instances, we first define a core problem of tractable size. If some tasks remain uncovered in the solution of the core problem, we perform a neighborhood exploration to improve the solution. Computational experiments with real-life instances show that our method is capable of producing good solutions within a couple of minutes of computation time. [ABSTRACT FROM AUTHOR]
Original languageEnglish
Pages (from-to)493-505
Number of pages13
JournalTransportation Science
Volume44
Issue number4
DOIs
Publication statusPublished - 2010

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