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A Petri net approach to assess the effects of railway maintenance on track availability

Fecarotti, Claudia; Andrews, John

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Authors

Claudia Fecarotti

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management



Abstract

The railway infrastructure includes a portfolio of assets that are subjected to degradation and failure processes due to both usage and ageing. As a consequence of degradation and failures, speed restrictions and line closures may be imposed to control the risk of derailment. Such actions have a direct impact on service, as they lead to delays and journey cancellations. Maintenance is implemented to control the state of the assets. Different maintenance strategies determine different asset conditions and performance profiles and, consequently, a different impact on service. This paper presents a simulation tool based on Petri nets, which combines degradation and maintenance processes to predict future track geometry conditions, including the probability of those failure modes leading to speed restrictions and line closures. Such a model is a valuable feature of an effective infrastructure-asset-management system that intends to support cost-effective informed decisions on railway maintenance.

Citation

Fecarotti, C., & Andrews, J. (2020). A Petri net approach to assess the effects of railway maintenance on track availability. Infrastructure Asset Management, 7(3), 201-220. https://doi.org/10.1680/jinam.18.00046

Journal Article Type Article
Acceptance Date Jan 25, 2020
Online Publication Date Sep 16, 2020
Publication Date 2020-09
Deposit Date Sep 15, 2021
Publicly Available Date Mar 28, 2024
Journal Infrastructure Asset Management
Print ISSN 2053-0242
Electronic ISSN 2053-0250
Publisher Institution of Civil Engineers (ICE)
Peer Reviewed Peer Reviewed
Volume 7
Issue 3
Pages 201-220
DOI https://doi.org/10.1680/jinam.18.00046
Public URL https://nottingham-repository.worktribe.com/output/6241061
Publisher URL https://www.icevirtuallibrary.com/doi/10.1680/jinam.18.00046

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