BIC-Based Data-Driven Rail Track Deterioration Adaptive Piecewise Modeling Framework

The records of maintenance activities are required for modeling the track irregularity deterioration process. However, it is hard to guarantee completeness and accuracy records. To tackle this problem, an adaptive piecewise framework rail process driven by historical measurement data from comprehensive inspection train (referred as CIT) proposed. identification when occurred reformulated a model selection optimization problem based on Bayesian Information Criterion. An efficient solution algorithm utilizing thresholding dynamic programming proposed solving problem. This framework’s validity practicability illustrated CIT mileage section K21 + 184 K220 308 Nanchang-Fuzhou railway 2014 2019. results indicate that can overcome disturbance contaminated accurately estimate were undertaken without any What more, fitting provided describe irregular corresponding sections.