Railroad Track Deterioration Characteristics Based Track Measurement Data Mining

Peng Xu, Reng-Kui Liu, Feng Wang, Fu-Tian Wang and Quan-Xin Sun

Mathematical Problems in Engineering, 2013, vol. 2013, 1-7

Abstract:

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:970573

DOI: 10.1155/2013/970573

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