Multi-Stage Linear Prediction Model for Railway Track Irregularity

Article Preview

Abstract:

Railway track irregularity has significant impact on traffic safety. It can ensure high smooth of the track from predicting the deterioration of track irregularities accurately, and then fundamentally eliminate hidden dangers. In this paper, a multi-stage linear prediction method for track local irregularities based on time series is proposed. On the basis of the track irregularity management standard in our country, this paper has researched the changing regularity of irregularities in unit section and built the local irregularities deterioration model for each unit section to forecast the development of irregularities during a maintenance period. After comparing predicting data with actual data and analyzing the error, the accuracy of the model was verified.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1811-1816

Citation:

Online since:

August 2013

Authors:

Export:

Price:

[1] A. Kawaguchi, M. Miwa, and K. Terada, Actual Data Analysis of Alignment Irregularity Growth and Prediction Model, QR of RTRI, 262–268, (2005).

DOI: 10.2219/rtriqr.46.262

Google Scholar

[2] X. M. Chen, L. Wang, F. C. Yang, X. S. Chai, and W. Q. Wu, Integrating Factor Method for Predicting the Developing Trend of Railway Track Irregularity, China Railway Science, Vol. 27, issue 6, 27-31, (2006).

Google Scholar

[3] J. X. Wang, H. F. Li, Y. D. Xu, Evaluation and Prediction Method for Railway Track Geometric State Based on Probability Distribution Change, China Railway Science, Vol. 29, issue 5, 31-34, (2008).

Google Scholar

[4] Ministry of Railway of the People's Republic of China, Railway Line Maintenance Regulations, Beijing: China Railway Publishing House, (2008).

Google Scholar

[5] P. Xu, Research on the Variation Characteristics of the Track Dynamic Irregularity in Railway Line, Master Dissertation, Beijing Jiao tong University, China, (2008).

Google Scholar