Jing Xun

36 papers B 1Journal 17Unranked 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
An adaptive graph reinforcement learning method for scalable multi-train cooperative control.
Comput. Aided Civ. Infrastructure Eng.
Zicong Zhao, Jing Xun, Yuan Cao, Jin Liu, Sishuo Wang
2025 J jnl
Autonomous Operations With a Safe Reinforcement Learning Approach for Urban Rail Transit.
IEEE Trans. Intell. Transp. Syst.
Zicong Zhao, Jing Xun, Yilun Lin, Andy H. F. Chow, Jianqiu Chen
2025 — conf
Integrated Optimization of Speed Curve and Energy Management for a Fuel Cell Hybrid Tram on a Signalized Route.
ITSC
Dian Yi, Jing Xun, Zicong Zhao, Yuchen Luo, Jin Liu
2025 J jnl
Multi-trajectory optimization for train using distributional reinforcement learning with conditional value-at-risk.
Appl. Soft Comput.
Yalan Chen, Jing Xun, Shibo He, Xin Wan, Yafei Liu
2025 — conf
Towards Explainable Reinforcement Learning for Train Operation: Two Typical Methods.
ITSC
Zicong Zhao, Jing Xun, Yuan Cao, Jin Liu
2024 J jnl
Distributed Model Predictive Control for Virtually Coupled Heterogeneous Trains: Comparison and Assessment.
IEEE Trans. Intell. Transp. Syst.
Xiaoyu Liu, Azita Dabiri, Yihui Wang, Jing Xun, Bart De Schutter
2023 J jnl
A Real-Time Rescheduling Approach Using Loop Iteration for High-Speed Railway Traffic.
IEEE Intell. Transp. Syst. Mag.
Fan Liu, Jing Xun, Ronghui Liu, Jiateng Yin, Hairong Dong
2023 — conf
An Integrated Approach for Energy-Efficient Train Operation Considering Bidirectional Converter in Urban Rail Transit.
ITSC
Yanyan Li, Jing Xun, Hao Liu, Jiayu Mi, Xiangyu Ji
2023 J jnl
Control strategy for stable formation of high-speed virtually coupled trains with disturbances and delays.
Comput. Aided Civ. Infrastructure Eng.
Yafei Liu, Yang Zhou, Shuai Su, Jing Xun, Tao Tang
2023 J jnl
Safe Reinforcement Learning for Single Train Trajectory Optimization via Shield SARSA.
IEEE Trans. Intell. Transp. Syst.
Zicong Zhao, Jing Xun, Xuguang Wen, Jianqiu Chen
2022 — conf
A Driving Strategy Based Integrated Rescheduling Model for High-Speed Railway by Using the Parallel Intelligent Method.
DTPI
Fan Liu, Jing Xun, Min Zhou, Shibo He, Hairong Dong
2022 — conf
An Approach to Improving Regenerative Energy by Using Swarm Intelligence for Urban Rail Transit.
ITSC
Hao Liu, Jing Xun, Juanjuan Cai, Yafei Liu, Xuguang Wen
2022 J jnl
Distributed Model Predictive Control Strategy for Constrained High-Speed Virtually Coupled Train Set.
IEEE Trans. Veh. Technol.
Yafei Liu, Ronghui Liu, Chongfeng Wei, Jing Xun, Tao Tang
2022 J jnl
Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies.
IEEE Trans. Comput. Soc. Syst.
Hairong Dong, Xuan Liu, Min Zhou, Wei Zheng, Jing Xun, Shigen Gao, Haifeng Song, Yidong Li, Fei-Yue Wang
2021 — conf
A Bi-level Real-time Rescheduling Approach for Train Operation in High-speed Railways.
ITSC
Fan Liu, Jing Xun, Hairong Dong, Zixuan Zhang, Yanyan Li
2021 — conf
A Model Predictive Control Based Inter-Station Driving Strategy for Virtual Coupling Trains in Railway System.
ITSC
Xiaolin Luo, HongJie Liu, Lei Zhang, Jing Xun
2021 J jnl
Design of Running Grades for Energy-Efficient Train Regulation: A Case Study for Beijing Yizhuang Line.
IEEE Intell. Transp. Syst. Mag.
Shuai Su, Tao Tang, Jing Xun, Fang Cao, Yihui Wang
2020 — conf
A Coordinated Collision Mitigation Approach for Virtual Coupling Trains by Using Model Predictive Control
ITSC
Mingliang Chen, Jing Xun, Yafei Liu
2020 J jnl
An Overspeed Protection Mechanism for Virtual Coupling in Railway.
IEEE Access
Jing Xun, Mingliang Chen, Yafei Liu, Fan Liu
2020 J jnl
Motion Recurring Pattern Analysis: A Lossless Representation for Motion Capture Databases.
IEEE Access
Pengjie Wang, Jiang Wang, Xiaoming Wei, Jiana Meng, Jing Xun
2020 J jnl
Using Approximate Dynamic Programming to Maximize Regenerative Energy Utilization for Metro.
IEEE Trans. Intell. Transp. Syst.
Jing Xun, Tong Liu, Bin Ning, Yafei Liu
2019 — conf
An approach for accurate stopping of high-speed train by using model predictive control.
ITSC
Xiaoyu Liu, Jing Xun, Bin Ning, Lei Yuan
2019 — conf
Analysis of optimal train control problem on a non-steep track with speed limit.
ITSC
Tong Liu, Jing Xun, Yafei Liu
2019 J jnl
Intelligent operation of heavy haul train with data imbalance: A machine learning method.
Knowl. Based Syst.
Xi Wang, Shukai Li, Tao Tang, Xiaoning Wang, Jing Xun
2019 — conf
Mixed-Integer Linear Programming Models for Coordinated Train Timetabling with Dynamic Demand.
ITSC
Jiateng Yin, Andrea D'Ariano, Yihui Wang, Jing Xun, Shuai Su, Tao Tang
2018 — conf
A Two-Stage Stochastic Optimization Model for Passenger-Oriented Metro Rescheduling with Backup Trains.
ITSC
Jiateng Yin, Tao Tang, Lixing Yang, Jing Xun, Shuai Su, Yihui Wang
2018 — conf
An Intelligent train regulation algorithm for metro using deep reinforcement learning.
ITSC
Yafei Liu, Tao Tang, Lei Yue, Jing Xun, Hui Guo
2018 — conf
Optimal Train Control by Approximate Dynamic Programming: Comparison of Three Value Function Approximation Methods.
ITSC
Tong Liu, Jing Xun, Jiateng Yin, Xiao Xiao
2017 — conf
Prediction algorithms for train arrival time in urban rail transit.
ITSC
Yafei Liu, Tao Tang, Jing Xun
2017 B conf
Train cooperative control for headway adjustment in high-speed railways.
Intelligent Vehicles Symposium
Jing Xun, Jiateng Yin, Yang Zhou, Fan Liu
2016 — conf
Timetable multi-objective optimization by improved genetic algorithm based on stochastic passenger flow.
ITSC
Xubin Sun, Hong Lu, Hairong Dong, Jing Xun
2015 J jnl
Adaptive Neural Dynamic surface control with truncated Adaptation for uncertain saturated nonlinear Systems.
Control. Intell. Syst.
Shigen Gao, Hairong Dong, Bin Ning, Jing Xun
2015 J jnl
An Integrated Control Model for Headway Regulation and Energy Saving in Urban Rail Transit.
IEEE Trans. Intell. Transp. Syst.
Bin Ning, Jing Xun, Shigen Gao, Lingying Zhang
2015 J jnl
An Optimization Approach for Real-Time Headway Control of Railway Traffic.
IEICE Trans. Inf. Syst.
Jing Xun, Ke-Ping Li, Yuan Cao
2015 — conf
Energy-Efficient Operation of Single Train Based on the Control Strategy of ATO.
ITSC
Shuqi Liu, Fang Cao, Jing Xun, Yihui Wang
2015 — conf
Practical Computation Acceleration for Large Size Single Image Filtering Based Haze Removal.
IScIDE (1)
Heng Liu, Hongshen Liu, Jing Xun