An Improved Train Classification Procedure for the Hump Yard Lausanne Triage

Authors Peter Márton, Jens Maue, Marc Nunkesser



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Peter Márton
Jens Maue
Marc Nunkesser

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Peter Márton, Jens Maue, and Marc Nunkesser. An Improved Train Classification Procedure for the Hump Yard Lausanne Triage. In 9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09). Open Access Series in Informatics (OASIcs), Volume 12, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009) https://doi.org/10.4230/OASIcs.ATMOS.2009.2142

Abstract

In this paper we combine an integer programming approach
and a computer simulation tool to successfully develop and verify an
improved classification schedule for a real-world train classification instance.
First, we derive an integer program for computing train classification 
schedules based on an earlier developed bitstring representation of
such schedules. We show how to incorporate various practical restrictions
in this model. Secondly, we apply the model to one day of traffic data
of the Swiss classification yard Lausanne Triage. We incorporate all the
operational and infrastructural restrictions of this yard instance in our
integer program. Even with this high number of restrictions, we are able
to compute a schedule that saves a full sorting step and one track compared
to the currently applied procedure. We finally show this improved
schedule is applicable in practice by a thorough computer simulation.

Subject Classification

Keywords
  • Train classification
  • shunting of rolling stock
  • simulation tools for transport operations
  • infrastructure planning
  • freight trains Train classification
  • shunting of rolling stock
  • simulation tools for transport operations
  • infrastructure planning
  • freight trains

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