Multilevel Residual Prophet Network Time Series Model for Prediction of Irregularities on High-Speed Railway Track-Reference-Cited by-同舟云学术

Multilevel Residual Prophet Network Time Series Model for Prediction of Irregularities on High-Speed Railway Track

Published:2023-04 Issue:4 Volume:149 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Wang Xiaohui¹^ORCID,Yang Jianwei²^ORCID,Yang Fei³,Wang Yanxue⁴,Liu Fu⁵

Affiliation:

1. Ph.D. Student, School of Civil and Transportation Engineering, Beijing Univ. of Civil Engineering and Architecture, No. 1 Zhanlanguan Rd., Xicheng District, Beijing 100044, China. ORCID: .

2. Professor, Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing Univ. of Civil Engineering and Architecture, No. 1 Zhanlanguan Rd., Xicheng District, Beijing 100044, China (corresponding author). ORCID: .

3. Senior Engineer, Infrastructure Inspection Research Center, China Academy of Railway Sciences Corporation Ltd., 2 Daliushu Rd., Haidian, Beijing 100081, China.

4. Professor, Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing Univ. of Civil Engineering and Architecture, No. 1 Zhanlanguan Rd., Xicheng District, Beijing 100044, China.

5. Ph.D. Student, School of Civil and Transportation Engineering, Beijing Univ. of Civil Engineering and Architecture, No. 1 Zhanlanguan Rd., Xicheng District, Beijing 100044, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7437

Reference32 articles.

1. Adhikari R. and R. Agrawal. 2013. “An introductory study on time series modeling and forecasting Ratnadip Adhikari R. K. Agrawal.” Preprint submitted February 26 2013. http://arxiv.org/abs/1302.6613.

2. Classification-learning-based framework for predicting railway track irregularities

3. Time series analysis: Forecasting and control;Box G. E. P.;J. Time,2010

4. Identification of creep camber state of 32-m box girders on high-speed railway and prediction of geometry of track over girder;Du X.-R.;J. Transp. Eng. Part A Syst.,2022

5. Sum of squared ACF and the ljung–box statistics;Hassani H.;Physica A,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual Jitter Suppression Mechanism-Based Cooperation Control for Multiple High-Speed Trains with Parametric Uncertainty;Mathematics;2023-04-09