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An Optimal Expansion Strategy for the German Railway Network Until 2030

In: Operations Research Proceedings 2016

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  • Andreas Bärmann

    (FAU Erlangen-Nürnberg)

Abstract

This article summarizes the findings of my Ph.D. thesis finished in 2015, whose topic are algorithmic approaches for the solution of network design problems. I focus on the results of a joint project with Deutsche Bahn AG on developing an optimal expansion strategy for the German railway network until 2030 to meet future demands. I have modelled this task as a multi-period network design problem and have derived an efficient decomposition approach to solve it. In a case study on real-world data on the German railway network, I demonstrate both the efficiency of by method as well as the high quality of the solutions it computes.

Suggested Citation

  • Andreas Bärmann, 2018. "An Optimal Expansion Strategy for the German Railway Network Until 2030," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 3-8, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-55702-1_1
    DOI: 10.1007/978-3-319-55702-1_1
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