Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2013, Article ID 970573, 7 pages
Research Article

Railroad Track Deterioration Characteristics Based Track Measurement Data Mining

1Beijing Jiaotong University, MOE Key Laboratory for Urban Transportation Complex Systems Theory, 3 Shang Yuan Cun, Beijing 100044, China
2Shanghai Bureau of China Railways, 355 Mo Ling Road, 3rd Floor, Shanghai 200070, China

Received 15 July 2013; Accepted 30 September 2013

Academic Editor: Heiner Bubb

Copyright © 2013 Peng Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Accurate information on future railroad track condition is essential to optimally schedule track Maintenance & Renewal activities in order to minimize influences of the activities on rail traffic under constraints of limited budgets and maintaining allowable condition tracks. In this paper, a track measurement data mining method is presented to this aim. It is developed on the basis of track deterioration characteristics. Actual track measurement data is used to analyze errors in track condition predictions by the method. The analysis results show that the proposed method can mine accurate track deterioration rates from historical track measurement data and thus accurately provides future track condition two or three months in advance.