Railroad Track Performance Monitoring by Advanced Sensor Network and Big Data
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2021-02-28
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Edition:Final Report 3-1-2019 – 9-30-2021
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Abstract:Long-lasting track quality is dependent on a well-maintained track ballast and subgrade. Accelerated deterioration of ballast and sub-ballast layers ultimately leads to accelerated deterioration of the track superstructure that rests upon it. It has been shown through research and practice that minimizing variations in track geometry variables is the best way to guarantee safe and efficient track system usage. This report focuses on the development of analysis techniques for data collected from test sites containing a total of 16 SmartRocks. SmartRocks are a new measurement hardware designed with maintenance engineers in mind, capable of measuring ballast dynamics. The analysis makes use of data science techniques to identify differences in SmartRock measurements to quantify ballast response. The use of SmartRocks provides measurements of ballast dynamics under passing trains, quantifying inter-particle interactions in a way that other ballast assessments cannot match. The analysis presented herein provides an in-depth look at SmartRock behavior using the time series’ data measured under train passings and how differences in their behavior correlate with measured SmartRock data. This report concludes with a discussion of the results obtained and their potential implications for future ballast and SmartRock research.
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