Study on Comprehensive Evaluation Method for Track Irregularity Based on HSMM
- 10.2991/icsmim-15.2016.220How to use a DOI?
- Track irregularity hidden semi-Markov models track quality index multi-source track detection data.
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.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Limei Guo AU - Haixin Lin AU - Xianghua Wu AU - Hanyu Cui PY - 2016/01 DA - 2016/01 TI - Study on Comprehensive Evaluation Method for Track Irregularity Based on HSMM BT - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials PB - Atlantis Press SP - 1191 EP - 1194 SN - 2352-538X UR - https://doi.org/10.2991/icsmim-15.2016.220 DO - 10.2991/icsmim-15.2016.220 ID - Guo2016/01 ER -