OASIcs.ATMOS.2018.2.pdf
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Large Scale Railway Renewal Planning with a Multiobjective Modeling Approach
Authors
Nuno Sousa 
,
Luis Alçada-Almeida ,
João Coutinho-Rodrigues
-
Part of:
Volume:
18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2018)
Series: Open Access Series in Informatics (OASIcs)
Conference: Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2018-08-28
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Author Details
- INESC-Coimbra, Coimbra, Portugal, Department of Sciences and Technology, Open University, Lisbon, Portugal, R. da Escola Politécnica 141-147, 1269-001 Lisboa, Portugal. Phone +351 213 916 300
- INESC-Coimbra, Coimbra, Portugal , Faculty of Economics, University of Coimbra, Coimbra, Portugal, Av. Dr. Dias da Silva 165, 3004-512 Coimbra, Portugal. Phone: +351 239 790 500
Cite AsGet BibTex
Nuno Sousa, Luis Alçada-Almeida, and João Coutinho-Rodrigues. Large Scale Railway Renewal Planning with a Multiobjective Modeling Approach. In 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2018). Open Access Series in Informatics (OASIcs), Volume 65, pp. 2:1-2:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/OASIcs.ATMOS.2018.2
https://doi.org/10.4230/OASIcs.ATMOS.2018.2
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.
Subject Classification
ACM Subject Classification
- Theory of computation → Integer programming
Keywords
- Rail infrastructure
- Renewal maintenance
- Multiobjective modeling
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References
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