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Flexible Services and Manufacturing Journal

, Volume 26, Issue 4, pp 490–515 | Cite as

An iterative optimization framework for delay management and train scheduling

  • Twan Dollevoet
  • Francesco Corman
  • Andrea D’Ariano
  • Dennis Huisman
Article

Abstract

Delay management determines which connections should be maintained in case of a delayed feeder train. Recent delay management models incorporate the limited capacity of the railway infrastructure. These models introduce headway constraints to make sure that safety regulations are satisfied. Unfortunately, these headway constraints cannot capture the full details of the railway infrastructure, especially within the stations. We therefore propose an optimization approach that iteratively solves a macroscopic delay management model on the one hand, and a microscopic train scheduling model on the other hand. The macroscopic model determines which connections to maintain and proposes a disposition timetable. This disposition timetable is then validated microscopically for a bottleneck station of the network, proposing a feasible schedule of railway operations. We evaluate our iterative optimization framework using real-world instances around Utrecht in the Netherlands.

Keywords

Public transportation Railway operations Event–activity network Alternative graph 

Notes

Acknowledgments

We acknowledge the partial support by the State Key Laboratory of Rail Traffic Control and Safety (Contract No. RCS2012K004), Beijing Jiaotong University.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Twan Dollevoet
    • 1
    • 2
  • Francesco Corman
    • 3
    • 4
  • Andrea D’Ariano
    • 5
  • Dennis Huisman
    • 1
    • 2
  1. 1.ECOPT and Econometric InstituteErasmus University RotterdamRotterdamThe Netherlands
  2. 2.Process quality and InnovationNetherlands RailwaysUtrechtThe Netherlands
  3. 3.Centre for Industrial ManagementKatholieke Universiteit LeuvenHeverleeBelgium
  4. 4.Section of Transport Engineering and LogisticsDelft University of TechnologyDelftThe Netherlands
  5. 5.Dipartimento di IngegneriaUniversità degli Studi Roma TreRomeItaly

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