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Estimation of speed-related car body acceleration limits with quantile regression
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Jianli Cong, Hang Zhang, Zilong Wei, Fei Yang, Zaitian Ke, Tao Lu, Rong Chen, Ping Wang, Zili Li
Railway Sciences | 2024, 3(5) : 575 - 592
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Railway Sciences | 2024, 3(5): 575-592
• Research paper •
Estimation of speed-related car body acceleration limits with quantile regression
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Jianli Cong, Hang Zhang, Zilong Wei, Fei Yang, Zaitian Ke, Tao Lu, Rong Chen, Ping Wang, Zili Li
Affiliations
  • China Academy of Railway Sciences Corporation Limited, Infrastructure Inspection Research Institute, Beijing, China
  • School of Civil Engineering, Beijing Jiaotong University, Beijing, China
  • Planning and Standard Research Institute, National Railway Administration, Beijing, China
  • China Academy of Railway Sciences Corporation Limited, Infrastructure Inspection Research Institute, Beijing, China
  • MOE Key Laboratory of High-Speed Railway Engineering, Southwest Jiaotong University, Chengdu, China
  • Department of Engineering Structures, Delft University of Technology, Delft, Netherlands
Published: 2024-10-10 doi: 10.1108/RS-06-2024-0019
Outline
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Purpose

This study aimed to facilitate a rapid evaluation of track service status and vehicle ride comfort based on car body acceleration. Consequently, a low-cost, data-driven approach was proposed for analyzing speed-related acceleration limits in metro systems.

Design/methodology/approach

A portable sensing terminal was developed to realize easy and efficient detection of car body acceleration. Further, field measurements were performed on a 51.95-km metro line. Data from 272 metro sections were tested as a case study, and a quantile regression method was proposed to fit the control limits of the car body acceleration at different speeds using the measured data.

Findings

First, the frequency statistics of the measured data in the speed-acceleration dimension indicated that the car body acceleration was primarily concentrated within the constant speed stage, particularly at speeds of 15.4, 18.3, and 20.9 m/s. Second, resampling was performed according to the probability density distribution of car body acceleration for different speed domains to achieve data balance. Finally, combined with the traditional linear relationship between speed and acceleration, the statistical relationships between the speed and car body acceleration under different quantiles were determined. We concluded the lateral/vertical quantiles of 0.8989/0.9895, 0.9942/0.997, and 0.9998/0.993 as being excellent, good, and qualified control limits, respectively, for the lateral and vertical acceleration of the car body. In addition, regression lines for the speed-related acceleration limits at other quantiles (0.5, 0.75, 2s, and 3s) were obtained.

Originality/value

The proposed method is expected to serve as a reference for further studies on speed-related acceleration limits in rail transit systems.

Car body acceleration  /  Track status monitoring  /  Speed-related acceleration limit  /  Quantile regression  /  Vehicle ride quality
Jianli Cong, Hang Zhang, Zilong Wei, Fei Yang, Zaitian Ke, Tao Lu, Rong Chen, Ping Wang, Zili Li. Estimation of speed-related car body acceleration limits with quantile regression[J]. Railway Sciences, 2024 , 3 (5) : 575 -592 . DOI: 10.1108/RS-06-2024-0019
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Funding
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  • the National Natural Science Foundation of China (NSFC)(52308473)
  • the National Key R&D Program(2022YFB2603301)
  • the China Postdoctoral Science Foundation funded project(2023M743895)
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Year 2024 volume 3 Issue 5
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Article Info
doi: 10.1108/RS-06-2024-0019
  • Receive Date：2024-06-21
  • Online Date：2026-06-11
  • Published：2024-10-10
Article Data
Affiliations
History
  • Received：2024-06-21
  • Revised：2024-07-02
  • Accepted：2024-07-03
Funding
the National Natural Science Foundation of China (NSFC)(52308473)
the National Key R&D Program(2022YFB2603301)
the China Postdoctoral Science Foundation funded project(2023M743895)
Affiliations
    China Academy of Railway Sciences Corporation Limited, Infrastructure Inspection Research Institute, Beijing, China
    School of Civil Engineering, Beijing Jiaotong University, Beijing, China
    Planning and Standard Research Institute, National Railway Administration, Beijing, China
    China Academy of Railway Sciences Corporation Limited, Infrastructure Inspection Research Institute, Beijing, China
    MOE Key Laboratory of High-Speed Railway Engineering, Southwest Jiaotong University, Chengdu, China
    Department of Engineering Structures, Delft University of Technology, Delft, Netherlands

Corresponding:

Zilong Wei can be contacted at:
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