Integrating automated analyses of track defect data with track inspection and maintenance scheduling

John F. Betak, Trefor P. Williams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Recent research has demonstrated the potential value of using automated text analyses and visualization tools, in conjunction with 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, we extend those analyses to demonstrate possible opportunities to introduce these automated tools into systematic track inspection and maintenance scheduling. More specifically, we 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, we identify possible ways these estimates can be utilized to improve systematic track inspection and maintenance practices.

Original languageEnglish (US)
Title of host publicationICRT 2017
Subtitle of host publicationRailway Development, Operations, and Maintenance - Proceedings of the 1st International Conference on Rail Transportation 2017
EditorsWanming Zhai, Kelvin C. P. Wang
PublisherUltrasound International
Pages947-963
Number of pages17
ISBN (Electronic)9780784481257
DOIs
StatePublished - 2018
Event1st International Conference on Rail Transportation 2017: Railway Development, Operations, and Maintenance, ICRT 2017 - Chengdu, Sichuan Province, China
Duration: Jul 10 2017Jul 12 2017

Publication series

NameICRT 2017: Railway Development, Operations, and Maintenance - Proceedings of the 1st International Conference on Rail Transportation 2017
Volume2017-July

Other

Other1st International Conference on Rail Transportation 2017: Railway Development, Operations, and Maintenance, ICRT 2017
Country/TerritoryChina
CityChengdu, Sichuan Province
Period7/10/177/12/17

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Transportation
  • Automotive Engineering
  • Artificial Intelligence
  • Human Factors and Ergonomics

Keywords

  • Automated text-visualization – track defects
  • Probabilistic track inspection-maintenance scheduling
  • Track defect-train derailment relationships

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