Column Generation with Dynamic Duty Selection for Railway Crew Rescheduling

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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.

, 25 pages

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Column generation with dynamic duty selection for railway crew rescheduling
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Transportation Science, 44(4), 493–505, 2010 BibTeX reference