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Re-Optimization of Rolling Stock Rotations

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Operations Research Proceedings 2013

Part of the book series: Operations Research Proceedings ((ORP))

Abstract

The Rolling Stock Rotation Problem is to schedule rail vehicles in order to cover timetabled trips by a cost optimal set of vehicle rotations. The problem integrates several facets of railway optimization, such as vehicle composition, maintenance constraints, and regularity aspects. In industrial applications existing vehicle rotations often have to be re-optimized to deal with timetable changes or construction sites. We present an integrated modeling and algorithmic approach to this task as well as computational results for industrial problem instances of DB Fernverkehr AG.

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References

  1. Jespersen-Groth, J., Potthoff, D., Clausen, J., Huisman, D., Kroon, L., Maróti, G., & Nielsen, M. (2009). Disruption management in passenger railway transportation. In A. RavindraK, M. RolfH, & Z. ChristosD (Eds.), Robust and Online Large-Scale Optimization (vol. 5868, pp. 399–421). Berlin: Springer.

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  2. Nielsen, L. K. (2011). Rolling stock rescheduling in passenger railways: Applications in shortterm planning and in disruption management. PhD Thesis.

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  3. Reuther, M., Borndörfer, R., Schlechte, T., Waas, K., & Weider, S. (2013). Integrated optimization of rolling stock rotations for intercity railways. In Proceedings of the 5\(^{th}\) ISROR (Rail Copenhagen 2013), Copenhagen, Denmark.

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Author information

Authors and Affiliations

  1. Zuse Institute Berlin, Takustr. 7, 14195, Berlin, Germany

    Ralf Borndörfer, Julika Mehrgardt, Markus Reuther & Thomas Schlechte

  2. DB Fernverkehr AG, Frankfurt, Germany

    Kerstin Waas

Authors
  1. Ralf Borndörfer
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  2. Julika Mehrgardt
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  3. Markus Reuther
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  4. Thomas Schlechte
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  5. Kerstin Waas
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Corresponding author

Correspondence to Thomas Schlechte .

Editor information

Editors and Affiliations

  1. Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands

    Dennis Huisman

  2. Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands

    Ilse Louwerse

  3. Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands

    Albert P.M. Wagelmans

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© 2014 Springer International Publishing Switzerland

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Borndörfer, R., Mehrgardt, J., Reuther, M., Schlechte, T., Waas, K. (2014). Re-Optimization of Rolling Stock Rotations. In: Huisman, D., Louwerse, I., Wagelmans, A. (eds) Operations Research Proceedings 2013. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-07001-8_8

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