Abstract
In this paper we consider two important railway optimization problems.
In particular, we focus on the Rolling Stock Rescheduling problem and the Depot
Replanning problem, respectively. We present an integrated framework for solving
these two problems simultaneously, and show that it is fast enough to be applied
in a disruption recovery setting. Furthermore, we provide a comparison of several
solution strategies to the Train Unit Parking Problem, and, by way of an example
prove the heuristic nature of a previously proposed optimal approach. We analyse
the performance of the proposed methodology on a number of articial data sets
as well as several real-life case studies provided by DSB Stog, a suburban train
operator in the greater Copenhagen area.
Original language | English |
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Title of host publication | Proceedings of the 13th Conference on Advanced Systems in Public Transport (CASPT) 2015 |
Number of pages | 21 |
Publisher | Erasmus University |
Publication date | 2015 |
Publication status | Published - 2015 |
Event | 13th Conference on Advanced Systems in Public Transport - Rotterdam, Netherlands Duration: 19 Jul 2015 → 23 Jul 2015 Conference number: 13 |
Conference
Conference | 13th Conference on Advanced Systems in Public Transport |
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Number | 13 |
Country/Territory | Netherlands |
City | Rotterdam |
Period | 19/07/2015 → 23/07/2015 |