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2020 – today
- 2023
[j13]Yafei Liu, Yang Zhou
, Shuai Su, Jing Xun, Tao Tang:
Control strategy for stable formation of high-speed virtually coupled trains with disturbances and delays. Comput. Aided Civ. Infrastructure Eng. 38(5): 621-639 (2023)- [j12]Fan Liu, Jing Xun, Ronghui Liu, Jiateng Yin, Hairong Dong:
A Real-Time Rescheduling Approach Using Loop Iteration for High-Speed Railway Traffic. IEEE Intell. Transp. Syst. Mag. 15(1): 318-332 (2023) - [j11]Zicong Zhao, Jing Xun, Xuguang Wen, Jianqiu Chen:
Safe Reinforcement Learning for Single Train Trajectory Optimization via Shield SARSA. IEEE Trans. Intell. Transp. Syst. 24(1): 412-428 (2023) - [c17]Yanyan Li, Jing Xun, Hao Liu, Jiayu Mi, Xiangyu Ji:
An Integrated Approach for Energy-Efficient Train Operation Considering Bidirectional Converter in Urban Rail Transit. ITSC 2023: 4663-4668 - 2022
- [j10]Hairong Dong, Xuan Liu, Min Zhou, Wei Zheng, Jing Xun, Shigen Gao, Haifeng Song, Yidong Li, Fei-Yue Wang:
Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies. IEEE Trans. Comput. Soc. Syst. 9(5): 1574-1582 (2022) - [j9]Yafei Liu, Ronghui Liu, Chongfeng Wei, Jing Xun, Tao Tang:
Distributed Model Predictive Control Strategy for Constrained High-Speed Virtually Coupled Train Set. IEEE Trans. Veh. Technol. 71(1): 171-183 (2022) - [c16]Fan Liu, Jing Xun, Min Zhou, Shibo He, Hairong Dong:
A Driving Strategy Based Integrated Rescheduling Model for High-Speed Railway by Using the Parallel Intelligent Method. DTPI 2022: 1-6 - [c15]Hao Liu, Jing Xun, Juanjuan Cai, Yafei Liu, Xuguang Wen:
An Approach to Improving Regenerative Energy by Using Swarm Intelligence for Urban Rail Transit. ITSC 2022: 499-504 - 2021
- [j8]Shuai Su, Tao Tang, Jing Xun, Fang Cao, Yihui Wang:
Design of Running Grades for Energy-Efficient Train Regulation: A Case Study for Beijing Yizhuang Line. IEEE Intell. Transp. Syst. Mag. 13(2): 189-200 (2021) - [c14]Fan Liu, Jing Xun, Hairong Dong, Zixuan Zhang, Yanyan Li:
A Bi-level Real-time Rescheduling Approach for Train Operation in High-speed Railways. ITSC 2021: 2417-2422 - [c13]Xiaolin Luo, Hongjie Liu, Lei Zhang, Jing Xun:
A Model Predictive Control Based Inter-Station Driving Strategy for Virtual Coupling Trains in Railway System. ITSC 2021: 3927-3932 - 2020
- [j7]Pengjie Wang, Jiang Wang, Xiaoming Wei, Jiana Meng, Jing Xun:
Motion Recurring Pattern Analysis: A Lossless Representation for Motion Capture Databases. IEEE Access 8: 78932-78941 (2020) - [j6]Jing Xun, Mingliang Chen, Yafei Liu, Fan Liu:
An Overspeed Protection Mechanism for Virtual Coupling in Railway. IEEE Access 8: 187400-187410 (2020) - [j5]Jing Xun, Tong Liu, Bin Ning, Yafei Liu:
Using Approximate Dynamic Programming to Maximize Regenerative Energy Utilization for Metro. IEEE Trans. Intell. Transp. Syst. 21(9): 3650-3662 (2020) - [c12]Mingliang Chen, Jing Xun, Yafei Liu:
A Coordinated Collision Mitigation Approach for Virtual Coupling Trains by Using Model Predictive Control*. ITSC 2020: 1-6
2010 – 2019
- 2019
- [j4]Xi Wang, Shukai Li, Tao Tang, Xiaoning Wang, Jing Xun:
Intelligent operation of heavy haul train with data imbalance: A machine learning method. Knowl. Based Syst. 163: 36-50 (2019) - [c11]Xiaoyu Liu, Jing Xun, Bin Ning, Lei Yuan:
An approach for accurate stopping of high-speed train by using model predictive control. ITSC 2019: 846-851 - [c10]Jiateng Yin, Andrea D'Ariano, Yihui Wang, Jing Xun, Shuai Su, Tao Tang:
Mixed-Integer Linear Programming Models for Coordinated Train Timetabling with Dynamic Demand. ITSC 2019: 863-868 - [c9]Tong Liu, Jing Xun, Yafei Liu:
Analysis of optimal train control problem on a non-steep track with speed limit. ITSC 2019: 2533-2538 - 2018
- [c8]Yafei Liu, Tao Tang, Lei Yue, Jing Xun, Hui Guo:
An Intelligent train regulation algorithm for metro using deep reinforcement learning. ITSC 2018: 1208-1213 - [c7]Jiateng Yin, Tao Tang, Lixing Yang, Jing Xun, Shuai Su, Yihui Wang:
A Two-Stage Stochastic Optimization Model for Passenger-Oriented Metro Rescheduling with Backup Trains. ITSC 2018: 2315-2320 - [c6]Tong Liu, Jing Xun, Jiateng Yin, Xiao Xiao:
Optimal Train Control by Approximate Dynamic Programming: Comparison of Three Value Function Approximation Methods. ITSC 2018: 2741-2746 - 2017
- [c5]Yafei Liu, Tao Tang, Jing Xun:
Prediction algorithms for train arrival time in urban rail transit. ITSC 2017: 1-6 - [c4]Jing Xun, Jiateng Yin, Yang Zhou, Fan Liu:
Train cooperative control for headway adjustment in high-speed railways. Intelligent Vehicles Symposium 2017: 328-333 - 2016
- [c3]Xubin Sun, Hong Lu, Hairong Dong, Jing Xun:
Timetable multi-objective optimization by improved genetic algorithm based on stochastic passenger flow. ITSC 2016: 434-440 - 2015
- [j3]Shigen Gao, Hairong Dong, Bin Ning, Jing Xun:
Adaptive Neural Dynamic surface control with truncated Adaptation for uncertain saturated nonlinear Systems. Control. Intell. Syst. 43(4) (2015) - [j2]Jing Xun, Ke-Ping Li, Yuan Cao:
An Optimization Approach for Real-Time Headway Control of Railway Traffic. IEICE Trans. Inf. Syst. 98-D(1): 140-147 (2015) - [j1]Bin Ning, Jing Xun, Shigen Gao, Lingying Zhang:
An Integrated Control Model for Headway Regulation and Energy Saving in Urban Rail Transit. IEEE Trans. Intell. Transp. Syst. 16(3): 1469-1478 (2015) - [c2]Heng Liu, Hongshen Liu, Jing Xun:
Practical Computation Acceleration for Large Size Single Image Filtering Based Haze Removal. IScIDE (1) 2015: 541-550 - [c1]Shuqi Liu, Fang Cao, Jing Xun, Yihui Wang:
Energy-Efficient Operation of Single Train Based on the Control Strategy of ATO. ITSC 2015: 2580-2586
Coauthor Index
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