License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ATMOS.2018.2
URN: urn:nbn:de:0030-drops-97071
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9707/
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Sousa, Nuno ; Alçada-Almeida, Luis ; Coutinho-Rodrigues, João

Large Scale Railway Renewal Planning with a Multiobjective Modeling Approach

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OASIcs-ATMOS-2018-2.pdf (0.6 MB)

Abstract

A multiobjective modeling approach for managing large scale railway infrastructure asset renewal is presented. An optimized intervention project schedule is obtained considering operational constraints in a three objectives model: evenly spreading investment throughout multiple years, minimizing total cost, minimizing work start postponements on higher priority railway sections. The MILP model was based on a real world case study; the objectives and constraints specified by an infrastructure management company. Results show that investment spreading greatly influences the other objectives and that total cost fluctuations depend on the overall condition of the railway infrastructure. The model can produce exact efficient solutions in reasonable time, even for very large-sized instances (a test network of similar size to the USA railway network, the largest in the world). The modeling approach is therefore a very useful, practical methodology, for generating optimized solutions and analyzing trade-offs among objectives, easing the task of ultimately selecting a solution and produce the works schedule for field implementation.

BibTeX - Entry

@InProceedings{sousa_et_al:OASIcs:2018:9707,
  author =	{Nuno Sousa and Luis Al{\c{c}}ada-Almeida and Jo{\~a}o Coutinho-Rodrigues},
  title =	{{Large Scale Railway Renewal Planning with a Multiobjective Modeling Approach}},
  booktitle =	{18th Workshop on Algorithmic Approaches for Transportation  Modelling, Optimization, and Systems (ATMOS 2018)},
  pages =	{2:1--2:9},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-096-5},
  ISSN =	{2190-6807},
  year =	{2018},
  volume =	{65},
  editor =	{Ralf Bornd{\"o}rfer and Sabine Storandt},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9707},
  URN =		{urn:nbn:de:0030-drops-97071},
  doi =		{10.4230/OASIcs.ATMOS.2018.2},
  annote =	{Keywords: Rail infrastructure, Renewal maintenance, Multiobjective modeling}
}

Keywords: Rail infrastructure, Renewal maintenance, Multiobjective modeling
Collection: 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2018)
Issue Date: 2018
Date of publication: 28.08.2018

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