Scheduling Infrastructure Renewal for Railway Networks

Cuong D. Dao, Andreas Hartmann, Anton Lamper, Peter Herbert

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Abstract

The pressing necessity to renew infrastructure assets in developed railway systems leads to an increased number of activities to be scheduled annually. Scheduling of renewal activities for a railway network is a critical task because these activities often require a significant amount of time and create a capacity conflict in operation scheduling. This paper discusses economic and technological aspects, opportunities, and constraints in the renewals of multiple rail infrastructure components at several locations in a railway network. We addressed and modeled a challenging situation in which there were interrelationships between different track lines, and thus, possession of a track line could affect the other track lines and prevent renewal works on them. A mathematical formulation for the railway infrastructure renewal scheduling problem in the network context was presented to minimize the total renewal and unavailability costs. A method based on a triple-prioritization rule and an optimal sharing of renewal times allocated for different types of rail infrastructure components in a possession is proposed to solve the problem. The method was applied to a real case of a regional railway network in Northern Netherlands and it was shown that up to 13% of total costs can be saved compared with the current scheduling practice.

Original languageEnglish
Article number04019027
JournalJournal of Infrastructure Systems
Volume25
Issue number4
Early online date28 Sep 2019
DOIs
Publication statusPublished - 1 Dec 2019

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Dao, Cuong D. ; Hartmann, Andreas ; Lamper, Anton ; Herbert, Peter. / Scheduling Infrastructure Renewal for Railway Networks. In: Journal of Infrastructure Systems. 2019 ; Vol. 25, No. 4.
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Scheduling Infrastructure Renewal for Railway Networks. / Dao, Cuong D.; Hartmann, Andreas; Lamper, Anton; Herbert, Peter.

In: Journal of Infrastructure Systems, Vol. 25, No. 4, 04019027, 01.12.2019.

Research output: Contribution to journalArticleAcademicpeer-review

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