Study on Comprehensive Evaluation Method for Track Irregularity Based on HSMM

detection data. Abstract: Evaluation of track irregularity is the foundation of track maintenance and traffic safety. A comprehensive evaluation model based on hidden semi-Markov models was proposed to evaluate track irregularity in a certain length, which used the multiple dynamic and static detection data. The model also took into account the different affection of track structure, passed total weight and allowed velocity. The features of track quality index, track complex irregularity, acceleration amplitude were extracted to train the proposed model. Finally, the effectiveness of the proposed model is verified by the simulation results.