Multi-objective models and techniques for analysing the absolute capacity of railway networks

Burdett, Robert L. (2015) Multi-objective models and techniques for analysing the absolute capacity of railway networks. European Journal of Operational Research, 245(2), pp. 489-505.

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Abstract

Railway capacity determination and expansion are very important topics. In prior research, the competition between different entities such as train services and train types, on different network corridors however have been ignored, poorly modelled, or else assumed to be static. In response, a comprehensive set of multi-objective models have been formulated in this article to perform a trade-off analysis. These models determine the total absolute capacity of railway networks as the most equitable solution according to a clearly defined set of competing objectives. The models also perform a sensitivity analysis of capacity with respect to those competing objectives. The models have been extensively tested on a case study and their significant worth is shown. The models were solved using a variety of techniques however an adaptive E constraint method was shown to be most superior. In order to identify only the best solution, a Simulated Annealing meta-heuristic was implemented and tested. However a linearization technique based upon separable programming was also developed and shown to be superior in terms of solution quality but far less in terms of computational time.

Impact and interest:

4 citations in Scopus
6 citations in Web of Science®
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ID Code: 82331
Item Type: Journal Article
Refereed: Yes
Keywords: Railways, Absolute Capacity, Multi-Objective, Separable Programming
DOI: 10.1016/j.ejor.2015.03.020
ISSN: 0377-2217
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > OTHER MATHEMATICAL SCIENCES (019900) > Mathematical Sciences not elsewhere classified (019999)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 Elsevier BV
Copyright Statement: NOTICE: this is the author’s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Operational Research, [VOL 245, ISSUE 2, (2015)] DOI:10.1016/j.ejor.2015.03.020
Deposited On: 09 Mar 2015 23:46
Last Modified: 03 Sep 2015 00:49

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