Template-based re-optimization of rolling stock rotations
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Rolling stock, i.e., the set of railway vehicles, is among the most expensive and limited assets of a railway company and must be used efficiently. We consider in this paper the re-optimization problem to recover from unforeseen disruptions. We propose a template concept that allows to recover cost minimal rolling stock rotations from reference rotations under a large variety of operational requirements. To this end, connection templates as well as rotation templates are introduced and their application within a rolling stock rotation planning model is discussed. We present an implementation within the rolling stock rotation optimization framework rotor and computational results for scenarios provided by DB Fernverkehr AG, one of the leading railway operators in Europe.
KeywordsRolling stock rotation problem Re-optimization Hypergraph-based integer programming Rotation patterns
This work has been developed within the http://www.forschungscampus-modal.de/Research Campus MODAL (Mathematical Optimization and Data Analysis Laboratories) funded by the German Ministry of Education and Research (BMBF).
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