Investigation of the effect of the inspection intervals on the track geometry condition
In order to evaluate the railway track geometry condition and plan maintenance activities, track inspection cars run over the track at specific times to monitor it and record geometry measurements. Applying an adequate inspection interval is vital to ensure the availability, safety and quality of the railway track, at the lowest possible cost. The aim of this study has been to investigate the effect of different inspection intervals on the track geometry condition. To achieve this, an integrated statistical model was developed to predict the track geometry condition given different inspection intervals. In order to model the evolution of the track geometry condition, a piecewise exponential model was used which considers break points at the maintenance times. Ordinal logistic regression was applied to model the probability of the occurrence of severe isolated defects. The Monte Carlo technique was used to simulate the track geometry behaviour given different inspection intervals. The results of the proposed model support the decision-making process regarding the selection of the most adequate inspection interval. The applicability of the model was tested in a case study on the Main Western Line in Sweden.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/15732479
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Supplemental Notes:
- © 2019 Iman Soleimanmeigouni, et al. Published by Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Soleimanmeigouni, Iman
- Ahmadi, Alireza
- Khajehei, Hamid
- Nissen, Arne
- Publication Date: 2020-8
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 1138-1146
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Serial:
- Structure and Infrastructure Engineering
- Volume: 16
- Issue Number: 8
- Publisher: Taylor & Francis
- ISSN: 1573-2479
- EISSN: 1744-8980
- Serial URL: http://www.tandfonline.com/loi/nsie20
Subject/Index Terms
- TRT Terms: Case studies; Geometry; Inspection; Logistic regression analysis; Maintenance management; Maintenance of way; Monte Carlo method; Railroad tracks; Scheduling
- Geographic Terms: Sweden
- Subject Areas: Maintenance and Preservation; Planning and Forecasting; Railroads;
Filing Info
- Accession Number: 01742365
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 15 2020 10:44AM