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Locomotive Assignment Using Train Delays

  • Koorush Ziarati
  • François Soumis
  • Jacques Desrosiers
Conference paper
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 471)

Abstract

The locomotive assignment problem is to provide at minimum cost sufficient motive power to pull all the trains of a timetabled schedule. Optimization methods for large scale problems are based on multi-commodity flow models with additional restrictions, solved on a rolling horizon. Branch-and-bound strategies are used to find integer solutions. When there is an insufficient number of locomotives, some companies rent additional units while others prefer to postpone train departures. In this paper, we propose a method that finds a feasible solution by delaying the departure of some trains, according to their types. The numerical results using data from the company CN North America show that with a total of about 38 hours of delay time, all the train requirements could be satisfied for a one-week planning problem involving 1988 train segments. When the train requirements are satisfied, the cost penalties associated with undercovering are significantly reduced, and consequently, the integrality gap is decreased. In our numerical experiments, this gap decreases by 2% on average.

Keywords

Penalty Cost Delay Cost Rolling Horizon Augmented Network Train Delay 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Koorush Ziarati
    • 1
  • François Soumis
    • 1
  • Jacques Desrosiers
    • 2
  1. 1.École Polytechnique and GERADMontréalCanada
  2. 2.École des Hautes Études Commerciales and GERADMontréalCanada

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