An Optimal Expansion Strategy for the German Railway Network Until 2030

Beitrag bei einer Tagung


Details zur Publikation

Autor(en): Bärmann A
Herausgeber: Fink A, Fügenschuh A, Geiger MJ
Verlag: Springer International Publishing
Verlagsort: Cham
Jahr der Veröffentlichung: 2018
Tagungsband: Operations Research Proceedings 2016
Seitenbereich: 3--8
ISBN: 978-3-319-55702-1
Sprache: Englisch


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.


FAU-Autoren / FAU-Herausgeber

Bärmann, Andreas Dr.
Lehrstuhl für Wirtschaftsmathematik


Zitierweisen

APA:
Bärmann, A. (2018). An Optimal Expansion Strategy for the German Railway Network Until 2030. In Fink A, Fügenschuh A, Geiger MJ (Eds.), Operations Research Proceedings 2016 (pp. 3--8). Cham: Springer International Publishing.

MLA:
Bärmann, Andreas. "An Optimal Expansion Strategy for the German Railway Network Until 2030." Proceedings of the Operations Research Proceedings 2016 Ed. Fink A, Fügenschuh A, Geiger MJ, Cham: Springer International Publishing, 2018. 3--8.

BibTeX: 

Zuletzt aktualisiert 2018-17-08 um 12:08