Advancing Railway Asset Management Using Track Geometry Deterioration Modeling Visualization

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Railway tracks need to be monitored to ensure safe operations and cost-effective maintenance. The monitoring is commonly conducted using a track recording car that describes deviations from an ideal track geometry. Over time, the measurements provide time series data that can be used to model the observed track geometry deterioration process. However, without simplification, the modeling results are generally too complex to be utilized to their full extent in track asset management. Therefore, this study aimed to implement visualization techniques for track geometry deterioration modeling results analysis which benefit track asset management. The best practices on track geometry deterioration modeling were studied and applied to the track geometry history of a track section located in Finland. After testing the establishing modeling principles, proposals were made regarding the use of the results in practice. This paper presents visualization techniques that use the modeling results of individual cross-sections to generate information about longer sections of track and even whole rail networks. These visualizations digest the massive amount of information from the modeling and present it in an informative way for practitioners to utilize and benefit from. Thus, this study fills the gap between research and practice in railway track geometry deterioration modeling.

Original languageEnglish
Article numbere0000626
JournalJournal of Transportation Engineering Part A: Systems
Volume148
Issue number2
Early online date2021
DOIs
Publication statusPublished - 1 Feb 2022
Publication typeA1 Journal article-refereed

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation

Fingerprint

Dive into the research topics of 'Advancing Railway Asset Management Using Track Geometry Deterioration Modeling Visualization'. Together they form a unique fingerprint.

Cite this