This chapter shows a successful approach how to model and optimize rolling stock rotations that are required for the operation of a passenger timetable. The underlying mathematical optimization problem is described in detail and solved by Rotation Optimizer for Railways (ROTOR), i.e., a complex optimization algorithm based on linear programming and combinatorial methods. ROTOR is used by DB Fernverkehr AG (DBF) in order to optimize intercity express (ICE) rotations for the European high-speed network. We focus on main modeling and solving components, i.e. a hypergraph model and a coarse-to-fine column generation approach. Finally, the chapter concludes with a complex industrial re-optimization application showing the effectiveness of the approach for real world challenges.
CITATION STYLE
Reuther, M., & Schlechte, T. (2018). Optimization of Rolling Stock Rotations. In International Series in Operations Research and Management Science (Vol. 268, pp. 213–241). Springer New York LLC. https://doi.org/10.1007/978-3-319-72153-8_10
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