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MILP formulations of cumulative constraints for railway scheduling - A comparative study
RISE, Swedish ICT, SICS. IAM.
RISE, Swedish ICT, SICS. IAM.
RISE, Swedish ICT, SICS. IAM.
Number of Authors: 3
2009 (English)In: The Proceedings of the 9th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS), Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany , 2009, 13Conference paper (Refereed)
Abstract [en]

This paper introduces two Mixed Integer Linear Programming (MILP) models for railway traffic planning using a cumulative scheduling constraint and associated pre-processing filters. We compare standard solver performance for these models on three sets of problems from the railway domain and for two of them, where tasks have unitary resource consumption, we also compare them with two more conventional models. In the experiments, the solver performance of one of the cumulative models is clearly the best and is also shown to scale very well for a large scale practical railway scheduling problem.

Place, publisher, year, edition, pages
Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany , 2009, 13.
Keyword [en]
Railway transport scheduling, Cumulative scheduling, Mixed Integer Linear Programming (MILP) modelling and pre-processing
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-23631OAI: oai:DiVA.org:ri-23631DiVA: diva2:1042707
Conference
9th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS)
Projects
DDTP
Note
The Proceedings of the 9th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS) published by Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, GermanyAvailable from: 2016-10-31 Created: 2016-10-31

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