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Abstract:Identifying track locations with rapid degradation potential and derailment risks due to structural failure is important for the railroad industry. Among the tools used to identify degradation are Track Quality Indexes (TQIs), a track geometry-based metric to characterize overall track quality. However, TQIs generally do not reflect the effect of short wavelength events, such as poor rail joints, or considerations required for long wavelength track features such as curves. Additionally, TQIs do not reflect vehicle-track interaction (VTI) and the potential damage to rolling stock components. Therefore, a metric that identifies track areas of concern by appropriately capturing the effects of a wide range of defect wavelengths and potential VTI forces would benefit the railroad industry.
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