Huang Ping, Li Zhongcan, Wen Chao, Javad Lessan, Francesco Corman, Liping Fu. Modeling train timetables as images: a cost-sensitive deep learning framework for delay propagation pattern recognition[J]. Expert Systems with Applications, 2021: 114996.
Ye Yunguang, Huang Ping*, Sun Yu, and Shi Dachuan. MBSNet: a deep learning model for multibody dynamics simulation and its application to a vehicle-track system [J]. Mechanical Systems and Signal Processing, 2021, 157, DOI: 10.1016/j.ymssp.2021.107716.
Huang Ping, Lessan Javad, Wen Chao, Peng Qiyuan, Fu Liping, Li Li, and Xu Xinyue. A Bayesian network model to predict the interruption effects on train operations. Transportation Research Part C: Emerging Technologies, 2020, 114, 338-358.
Huang Ping, Wen Chao, Fu Liping, Lessan Javad Jiang Chaozhe, Peng Qiyuan, Xu Xinyue. Modeling train operation as sequences: A study of delay prediction with operation and weather data [J]. Transportation Research Part E: Logistics and Transportation Review, 2020, 141(102022), DOI: 10.1016/j.tre.2020.102022.
Huang Ping, Wen Chao, Fu Liping, Peng Qiyuan and Tang Yixiong. A deep learning approach for multi-attribute data: a study of train delay prediction in railway systems [J]. Information Sciences, 2019, 516, 234-253, DOI: 10.1016/j.ins.2019.12.053.
Huang Ping, Wen Chao, Fu Liping, Peng Qiyuan and Li Zhongcan. A hybrid model to improve the train running time prediction ability during high-speed railway disruptions [J]. Safety Science, 2019, 122. DOI: 10.1016/j.ssci.2019.104510.
Huang Ping, Wen Chao, Peng Qiyuan, Jiang Chaozhe, Yang Yuxiang and Fu Zhuan. Modeling the Influence of Disturbances in High-Speed Railway Systems [J]. Journal of Advanced Transportation, 2019, DOI: 10.1155/2019/8639589.
Huang Ping, Wen Chao, Peng Qiyuan, Lessan Javad, Fu Liping and Jiang Chaozhe. A data-driven time supplements allocation model for train operations on high-speed railways [J]. International Journal of Rail Transportation, 2019, 7(2): 140-157.
Wen Chao, Mou Weiwei, Huang Ping**, Li Zhongcan. A Predictive Model of Train Delays on a Railway Line [J]. Journal of forecasting, 2019, DOI:10.1002/for.2639.
黄平, 彭其渊, 文超, 杨宇翔. 武广高速铁路列车晚点恢复时间预测的随机森林模型 [J]. 铁道学报, v.40；No.249(7): 6-14.
黄平, 李忠灿, 文超, 彭其渊. 高速铁路故障时空分布及持续时长分布特征研究[J].中国安全科学学报,2018,28(S2):99-104.
黄平, 彭其渊, 文超, 李忠灿. 高速铁路故障分类及其影响列车数模型 [J]. 中国安全科学学报, 2018, 28(S2): 50-57.
黄平, 文超, 李忠灿, 杨宇翔, 彭其渊. 高速铁路列车晚点时间实时预测的神经网络模型 [J]. 中国安全科学学报, 2019, (S1):20:26.
Huang Ping. Estimating the Total Delay Times Owing to Disruptions in High-Speed Rail Systems [C]; Proceedings of the 2019 5th International Conference on Transportation Information and Safety (ICTIS), IEEE, 2019.
Huang Ping, Wen Chao, Li Jie, Peng Qiyuan, Li Zhongcan and Fu Zhuan. Statistical Analysis of Train Delay and Delay Propagation Patterns in a High-Speed Railway System [C]; Proceedings of the 2019 5th International Conference on Transportation Information and Safety (ICTIS), IEEE, 2019.
Huang Ping. Statistical Modeling of the Distribution Characteristics of High-Speed Railway Disruptions [C]; Proceedings of the RailNorrköping 2019 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th–20th, 2019. Linköping University Electronic Press.
Huang Ping, Wen Chao and Li Zhongcan. Mining Train Delay Propagation Pattern from Train Operation Records in a High-Speed System [C]; Proceedings of the RailNorrköping 2019 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th–20th, 2019. Linköping University Electronic Press.
Huang Ping, Wen Chao, Yang Yuxiang, Jiang Chaozhe, Chen Yuhong and Li Jie, Delay Propagation Mechanism of High-Speed Railway [C], Transportation research board 2017.
Huang Ping, Wen Chao, Peng Qiyuan, Jiang Chaozhe, Yang Yuxiang and Fu Zhuan. Modeling the Influence of Disturbances in High-Speed Railway Systems [C]. Transportation research board 2019.
Huang Ping, Wen Chao, Peng Qiyuan, Chen Yuhong, and Yang Yuxiang. Multiple-Linear Regression Model of Primary Delay Recovery Based on Records of Wuhan-Guangzhou HSR [C]; Proceedings of the RailLille 2017 7th International Conference on Railway Operations Modelling and Analysis (ICROMA), Lille, France, April 5th–7th, 2017.
