Integrating Automated Analyses of Track Defect Data with Track Inspection and Maintenance Scheduling
Recent research has demonstrated the potential value of using automated text analyses and visualization tools, in conjunction with geographic information system (GIS), to capture and identify associations between track defects, track type, equipment failures, population, weather and climatic trends, and other factors with railroad accidents. In this paper, the authors extend those analyses to demonstrate possible opportunities to introduce these automated tools into systematic track inspection and maintenance scheduling. More specifically, the authors show how these automated tools lead to the development of probabilistic estimates of potential track failure based upon the underlying statistical relationships of track defect data and other data with railroad accidents. Given such estimates, the authors identify possible ways these estimates can be utilized to improve systematic track inspection and maintenance practices.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784481257
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Supplemental Notes:
- © 2018 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Betak, John F
- Williams, Trefor P
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Conference:
- First International Conference on Rail Transportation 2017
- Location: Chengdu Sichuan Provence, China
- Date: 2017-7-10 to 2017-7-12
- Publication Date: 2018
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 947-963
- Monograph Title: ICRT 2017: Railway Development, Operations, and Maintenance
Subject/Index Terms
- TRT Terms: Data analysis; Defects; Inspection; Maintenance of way; Maintenance practices; Railroad tracks
- Subject Areas: Maintenance and Preservation; Railroads;
Filing Info
- Accession Number: 01868916
- Record Type: Publication
- ISBN: 9780784481257
- Files: TRIS, ASCE
- Created Date: Dec 28 2022 5:09PM