Proceedings of the 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025)

Method for Optimizing Sliding Distance of Track Quality Assessment

Authors
Yifan Qi1, Peng Xu1, *
1Beijing Jiaotong University, Beijing, China
*Corresponding author. Email: Peng.xu@bjtu.edu.cn
Corresponding Author
Peng Xu
Available Online 28 July 2025.
DOI
10.2991/978-94-6463-793-9_50How to use a DOI?
Keywords
Track Quality Assessment; Sliding Unit; Information Entropy; Jensen-Shannon Divergence; Monte Carlo Method
Abstract

Objective assessment of railway track quality is vital to determine track maintenance operations to ensure train running safety and passenger riding comfort. A unit section is represented as a window on the chart of track quality parameters measurement data along the kilometrage x-axis. To obtain complete track quality values in the spatial dimension, running windows with some sliding distance are adopted. If the sliding distance equals the window size, two quality values at adjacent sections are independent, which has high risk of underestimating actual track quality. To address this issue, the sliding distance should be smaller than the window size. The smaller the sliding distance, the more the windows. More windows require a bigger storage disk and a larger computation for track quality indices calculation and analysis. Therefore, the sliding distance should be determined in an optimal manner so that the effect of all track irregularities is captured, and the amount of track quality indices is minimized. Based on the precision of the management specifications of track quality indices, the Jensen-Shannon divergence and Monto Carlo simulation method are employed to obtain the optimal sliding distance. The sliding distance of 5 meters is appropriate to tracks with the allowable speed no higher than 200km/h, while 10 meters to high-speed tracks (i.e., >200). Compared with traditional methods, the new method can reflect the most realistic quality status of the line and accurately determine all sections of track defects, which is conductive to railway maintenance plans.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025)
Series
Atlantis Highlights in Engineering
Publication Date
28 July 2025
ISBN
978-94-6463-793-9
ISSN
2589-4943
DOI
10.2991/978-94-6463-793-9_50How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yifan Qi
AU  - Peng Xu
PY  - 2025
DA  - 2025/07/28
TI  - Method for Optimizing Sliding Distance of Track Quality Assessment
BT  - Proceedings of the 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025)
PB  - Atlantis Press
SP  - 587
EP  - 597
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-793-9_50
DO  - 10.2991/978-94-6463-793-9_50
ID  - Qi2025
ER  -