A preliminary methodology for broken rail caused freight train derailment risk analysis

Tal Ben-Gera, Jiabo He, Xiang Liu

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

Abstract

This paper investigates the influence of rail age, annual traffic density, and inspection frequency on broken-rail-caused train derailment risk. First, we estimate the probability of a broken-rail-caused train derailment based on a sequence of stochastic processes including rail defect formation, growth, detection and the likelihood that a broken rail causes a derailment. In addition to derailment frequency, we also estimate derailment severity, which is measured by the average number of railcars derailed per train derailment, based on FRA-reportable train derailment data. The preliminary risk analysis model provides a quantitative approach to understand broken rail risk, and potentially aid in development of effective ways to mitigate derailment risk.

Original languageEnglish (US)
Title of host publication2016 Joint Rail Conference, JRC 2016
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791849675
DOIs
StatePublished - Jan 1 2016
Event2016 Joint Rail Conference, JRC 2016 - Columbia, United States
Duration: Apr 12 2016Apr 15 2016

Publication series

Name2016 Joint Rail Conference, JRC 2016

Other

Other2016 Joint Rail Conference, JRC 2016
CountryUnited States
CityColumbia
Period4/12/164/15/16

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All Science Journal Classification (ASJC) codes

  • Transportation

Cite this

Ben-Gera, T., He, J., & Liu, X. (2016). A preliminary methodology for broken rail caused freight train derailment risk analysis. In 2016 Joint Rail Conference, JRC 2016 (2016 Joint Rail Conference, JRC 2016). American Society of Mechanical Engineers. https://doi.org/10.1115/JRC2016-5742