Railroad Track Deterioration Characteristics Based Track Measurement Data Mining

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 tr...

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Bibliographic Details
Published in:Mathematical problems in engineering 2013-01, Vol.2013 (2013), p.1-7
Main Authors: Liu, Rengkui, Sun, Quanxin, Wang, Futian, Wang, Feng, Xu, Peng
Format: Article
Language:English
Subjects:
Data mining
Deterioration
Error analysis
Geometry
Mathematical analysis
Optimization
Permissible error
Railroad tracks
Railroads
Rails (railroad)
Railway tracks
Regression analysis
Researchers
Standard deviation
System theory
Traffic accidents & safety
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Summary: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.
ISSN:1024-123X
1563-5147
DOI:10.1155/2013/970573