An Adjustable Robust Optimization Approach for Periodic Timetabling
Gert-Jaap Polinder,
Thomas Breugem,
Twan Dollevoet and
Gábor Maróti
No EI2019-01, Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute
Abstract:
In this paper, we consider the Robust Periodic Timetabling Problem (RPTP), the problem of designing an adjustable robust periodic timetable. We develop a solution method for a parametrized class of uncertainty regions. This class relates closely to uncertainty regions known in the robust optimization literature, and naturally denes a metric for the robustness of the timetable. The proposed solution method combines a linear decision rule with well-known reformulation techniques and cutting-plane methods. We show that the RPTP can be solved for practical-sized instances by applying the solution method to practical cases of Netherlands Railways (NS). In particular, we show that the trade-o between the e- ciency and robustness of a timetable can be analyzed using our solution method.
Keywords: Robust Optimization; Periodic Timetabling; Periodic Event Scheduling; Adjustable Robustness (search for similar items in EconPapers)
Pages: 25
Date: 2019-01-01
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Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:ems:eureir:113303
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