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.
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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