Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks
This manuscript proposes a methodology to leverage digitalisation to efficiently generate an overview of required condition-based railway track interventions, possession windows, and expected costs for railway networks at the beginning of the intervention planning process. The consistent and efficie...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Infrastructures |
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| Online Access: | https://www.mdpi.com/2412-3811/10/5/126 |
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| author | Hamed Mehranfar Bryan T. Adey Saviz Moghtadernejad Claudia Fecarotti |
| author_facet | Hamed Mehranfar Bryan T. Adey Saviz Moghtadernejad Claudia Fecarotti |
| author_sort | Hamed Mehranfar |
| collection | DOAJ |
| description | This manuscript proposes a methodology to leverage digitalisation to efficiently generate an overview of required condition-based railway track interventions, possession windows, and expected costs for railway networks at the beginning of the intervention planning process. The consistent and efficient generation of such an overview not only helps track managers in their decision-making but also facilitates the discussion among other decision-makers in later phases of the track intervention planning process, including line planners, capacity managers, and project managers. The methodology uses data of different levels of detail, discrete state modelling for uncertain deterioration of components, and component-level intervention strategies. It dynamically updates the condition estimates of components by capturing the interaction between deteriorating components using Bayesian filters. It also estimates the risks associated with different types of potential service losses that may occur due to sudden events using fault trees as a function of time and the condition of components. An implementation of the methodology is conducted for a 25 km regional railway network in Switzerland. The results suggest that the methodology has the potential to help track managers early in the intervention planning process. In addition, it is argued that the methodology will lead to improvements in the efficiency of the planning process, improvements in the scheduling of preventive interventions, and the reduction in corrective intervention costs upon the implementation in a digital environment. |
| format | Article |
| id | doaj-art-209382d281f9444d8d60fe85d2e50c4a |
| institution | Kabale University |
| issn | 2412-3811 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj-art-209382d281f9444d8d60fe85d2e50c4a2025-08-20T03:47:59ZengMDPI AGInfrastructures2412-38112025-05-0110512610.3390/infrastructures10050126Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure RisksHamed Mehranfar0Bryan T. Adey1Saviz Moghtadernejad2Claudia Fecarotti3Infrastructure Asset Management, Sihltal Zurich Uetliberg Bahn SZU, 8045 Zürich, SwitzerlandInstitute of Construction and Infrastructure Management, ETH Zürich, 8093 Zürich, SwitzerlandConstruction Research Centre, National Research Council, Ottawa, ON K1A 0R6, CanadaDepartment of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, 5612 Eindhoven, The NetherlandsThis manuscript proposes a methodology to leverage digitalisation to efficiently generate an overview of required condition-based railway track interventions, possession windows, and expected costs for railway networks at the beginning of the intervention planning process. The consistent and efficient generation of such an overview not only helps track managers in their decision-making but also facilitates the discussion among other decision-makers in later phases of the track intervention planning process, including line planners, capacity managers, and project managers. The methodology uses data of different levels of detail, discrete state modelling for uncertain deterioration of components, and component-level intervention strategies. It dynamically updates the condition estimates of components by capturing the interaction between deteriorating components using Bayesian filters. It also estimates the risks associated with different types of potential service losses that may occur due to sudden events using fault trees as a function of time and the condition of components. An implementation of the methodology is conducted for a 25 km regional railway network in Switzerland. The results suggest that the methodology has the potential to help track managers early in the intervention planning process. In addition, it is argued that the methodology will lead to improvements in the efficiency of the planning process, improvements in the scheduling of preventive interventions, and the reduction in corrective intervention costs upon the implementation in a digital environment.https://www.mdpi.com/2412-3811/10/5/126infrastructure managementrailway systemsdigitalisationdeterioration modellingmaintenance planningintervention strategies |
| spellingShingle | Hamed Mehranfar Bryan T. Adey Saviz Moghtadernejad Claudia Fecarotti Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks Infrastructures infrastructure management railway systems digitalisation deterioration modelling maintenance planning intervention strategies |
| title | Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks |
| title_full | Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks |
| title_fullStr | Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks |
| title_full_unstemmed | Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks |
| title_short | Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks |
| title_sort | enhancing railway track intervention planning accounting for component interactions and evolving failure risks |
| topic | infrastructure management railway systems digitalisation deterioration modelling maintenance planning intervention strategies |
| url | https://www.mdpi.com/2412-3811/10/5/126 |
| work_keys_str_mv | AT hamedmehranfar enhancingrailwaytrackinterventionplanningaccountingforcomponentinteractionsandevolvingfailurerisks AT bryantadey enhancingrailwaytrackinterventionplanningaccountingforcomponentinteractionsandevolvingfailurerisks AT savizmoghtadernejad enhancingrailwaytrackinterventionplanningaccountingforcomponentinteractionsandevolvingfailurerisks AT claudiafecarotti enhancingrailwaytrackinterventionplanningaccountingforcomponentinteractionsandevolvingfailurerisks |