Structure-Based Decomposition for Pattern-Detection for Railway Timetables

Stanley Schade (), Thomas Schlechte () and Jakob Witzig ()
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Stanley Schade: Zuse Institute Berlin, Mathematics of Transportation and Logistics
Thomas Schlechte: LBW Optimization GmbH
Jakob Witzig: Zuse Institute Berlin, Mathematical Optimization Methods

A chapter in Operations Research Proceedings 2017, 2018, pp 715-721 from Springer

Abstract: Abstract We consider the problem of pattern detection in large scale railway timetables. This problem arises in rolling stock optimization planning in order to identify invariant sections of the timetable for which a cyclic rotation plan is adequate. We propose a dual reduction technique which leads to an decomposition and enumeration method. Computational results for real world instances demonstrate that the method is able to produce optimal solutions as fast as standard MIP solvers.

Keywords: Pattern Detection Problem; Railway Timetables; Dual Reduction; Real-world Instances; Plane Rotation (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-89920-6_95

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DOI: 10.1007/978-3-319-89920-6_95

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