Keywords: assessment, rail profile, measurement system, big data, model, processing methodology.

Mechanized Track Patrol inspection vehicle (also been known as track geometry inspection car or track recording car) has been widely utilized by the major railway authorities around the world for track geometry inspection/data collection, track condition assessment, as well as rail profile and surface defects collection since decades ago. The rail profile data is one of the most critical measurement of the track inspection system. The most state-of-the-art rail profile measurement system that are currently utilized by the modern track inspection system are the laser-based system. To understand the measurement capacity and accuracy of the output results from the vehicle mounted Rail Profile Measurement System of a newly introduced mechanized track patrol inspection car, the reliability and repeatability of the Rail Profile Measurement System have been studied. This study is consisted of development of the algorithm/model for the data analysis and a series of data comparison of the rail profile data (Rail Profile Measurement System results vs. rail profile data from the Track data database, and Rail Profile Measurement System results vs. the in-field measurement results), develop/test/provide the special “rules”, which can be used to undertake further secondary alternative analysis to improve the accuracy of the output results from the Rail Profile Measurement System.

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