期刊论文:

1. Wang Q Y, Yu W, Huang D Q, et al. Weighted Train-to-Train Communication-Based Data-Driven Consensus Tracking of Multiple HSTs Subject to Deception Attacks[J]. IEEE Transactions on Vehicular Technology, 2024, doi: 10.1109/TVT.2023.3345281.

2. Chen M, Wang Q Y*, Sun P F, et al. Train Control and Schedule Integrated Optimization With Reversible Substations[J]. IEEE Transactions on Vehicular Technology, 2023, 72(2): 1586-1600.

3. Rao Y, Sun P F, Wang Q Y*, et al. Optimal running time supplement for the energy-efficient train control considering the section running time constraint[J]. IET Intelligent Transport Systems, 2022, 16, 661-674.

4. Rao Y, Feng X Y, Wang Q Y*, et al. Energy-efficient control of a train considering multi-trains power flow[J]. IET Intelligent Transport Systems, 2022, 16, 380-393.

5. Rao Y, Sun P F, Wang Q Y*, et al. Energy-efficient train control considering the traction system efficiency[J]. IET Intelligent Transport Systems, 2022, 1-15. 

6. Xiao Z, Wang Q Y*, Sun P F, et al. Real-time energy-efficient driver advisory system for high-speed trains, IEEE Transactions on Transportation Electrification, 2021, 7(4): 3163-3172. SCI

7. Xiao Z, Chen H H, Guo J S, Wang Q Y*, Sun P F. Joint Optimization of Speed and Voltage Trajectories for Hybrid Electric Trams[J]. IEEE Transactions on Industry Applications, 2021, 57(6):  6427-6439.

8. Xiao Z, Wang Q Y*, Sun P F, et al. Modeling and Energy-Optimal Control for High-Speed Trains, IEEE Transactions on Transportation Electrification, 2020, 6(2): 797-807. SCI

9. Xiao Z, Feng X Y, Wang Q Y*, et al. Eco-driving control for hybrid electric trams on a signalized route[J]. IET Intelligent Transport Systems. 2020, 14(1): 36-44. SCI

10. Xiao Z, Sun P F, Wang Q Y*, Zhu Y Q,  Feng X Y. Integrated Optimization of Speed Profiles and Power Split for a Tram with Hybrid Energy Storage Systems on a Signalized Route[J]. Energies, 11(3): 1-21. 

11. Tang H Y, Wang Q Y*, Feng X Y. Robust Stochastic Control for High-Speed Trains with Nonlinearity, Parametric Uncertainty, and Multiple Time-Varing Delays[J]. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(4): 1027-1037.     SCI 

12. Lin X, Wang Q Y*,  Wang Q Y, Sun P F, Feng X Y. The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections[J]. Energies, 10(6): 1-26.     SCI 

13. Wang P L, Ma L, Goverde R, Wang Q Y. Rescheduling trains using petri nets and heuristic search[J]. IEEE Transactions on Intelligent Transportation Systems, 2015:1-10.     SCI

14. 王青元, 冯晓云. 列车准点节能运行的控制工况最优切换研究[J]. 中国铁道科学,2016, 37(2):91-98.   EI

15. 王青元, 冯晓云, 朱金陵, 等. 考虑再生制动能量利用的高速列车节能最优控制仿真研究[J]. 中国铁道科学, 2015, 36(1): 96-103.   EI

16. 王青元, 吴鹏, 冯晓云, 等. 基于自适应终端滑模控制的城轨列车精确停车算法[J]. 铁道学报, 2016, 38(2): 56-63.   EI

17. 林轩, 王青元*, 葛学超, 等. 长大下坡区间货运列车周期性制动研究[J]. 铁道学报, 2017, 52(05): 859-868.   EI

18. 林轩,王青元*,刘强强,冯晓云.HXD2牵引货运列车长大下坡区间周期性制动研究[J].西南交通大学学报,2017,52(05):859-868.   EI

19. Wu P, Wang Q Y, Feng X Y. Automatic train operation based on adaptive terminal sliding mode control[J]. International Journal of Automation & Computing, 2015, 12(2):142-148.   EI

20. 梁志成, 王青元, 何坤, 等. 基于极大值原理的电动车组节能操纵[J]. 铁道学报, 2015, 37(10): 16-25.   EI

21. 王鹏玲, 马磊, 王青元, 等. 基于Petri网列车群模型的列车运行冲突分析[J]. 铁道学报, 2015, 37(3): 1-7.   EI

22. 唐海川, 王青元, 冯晓云. 地铁列车追踪运行的节能控制与分析[J]. 铁道学报, 2015, 37(1): 37-43.   EI

23. 王鹏玲, 王青元, 崔恒斌, 等. 考虑列车追踪的自动驾驶控制算法[J]. 西南交通大学学报, 2013, 48(6): 1045-1051.   EI

24. 唐海川, 朱金陵, 王青元, 等. 一种可在线调整的列车正点运行节能操纵控制算法[J]. 中国铁道科学, 2013, 34(4): 89-94.   EI

25. 崔恒斌, 冯晓云, 王青元, 等.制动利用率对高速列车节能操纵策略的影响[J]. 铁道学报, 2012, 34(8): 13-19.   EI

26. 林轩,王青元,刘强强,葛学超,冯晓云.长大下坡区间货运列车周期性制动研究[J].铁道学报,2019,41(01):50-58.

27. 朱宇清,白宝雪,陈鸿辉,陈南匡,王青元.基于神经网络的货运列车速度曲线实时规划算法[J].控制与信息技术,2019(03):7-12.

28. 曲健伟,王青元,孙鹏飞.基于极大值原理的地铁列车节能驾驶简化算法[J].铁道科学与工程学报,2019,16(06):1577-1586.

29. 曲健伟,冯晓云,王青元,孙鹏飞.考虑冲击限制和响应下列车参考速度仿真模型[J].哈尔滨工业大学学报,2019,51(09):125-129.

30. 金波,孙鹏飞,王青元,冯晓云.基于混合整数规划的高速列车多区间节能优化研究[J].铁道学报,2020,42(02):11-17. 

会议论文:

1. Wang Q Y, Geng C, Feng X Y. On optimal switches for energy efficient control of a train considering regenerative braking[C]. IEEE 18th International Conference on Intelligent Transportation Systems, 2015: 1810-1816.   EI

2. Wang Q Y, Zhu J L. Analysis and simulation of energy-efficient control of a train[C]. Chinese Control Conference, 2014: 3373-3380.   EI

3. Wang Q Y, Wu P, Liang Z C, Feng X Y. The hierarchical real-time control of high speed trains for automatic train operation[C]. Computers in Railways XIV, 2014, 135:17-36.                EI

4. Lin X,Ge X C,Liu Q Q,Wang Q Y. On the Periodic Braking of Freight Trains on the Long Steep Downhill[C].Chinese Control Conference,2016.                EI

5. Tang H C, Wang Q Y, Dick C T, et al. A model for optimal selection of projects to improve running time and operating cost efficiency on passenger rail corridors. Transportation Research Board 95th Annual Meeting. 2016, 2: 33-44.                EI

6. Tang H C, Wang Q Y, Dick C T. Optimizing train speed profiles to improve regeneration efficiency of transit operations[C]. Joint Rail Conference. 2014:V001T07A004-V001T07A004.    EI

7. Tang H Y, Ge X C, Liu Q Q, Wang Q Y. Robust H-infinity control of high-speed trains with parameter uncertainties and unpredictable time-varying delays[C]. Chinese Control Conference,2016. EI

8. Xu M J,Liu Q Q,Mao C H,Wang Q Y. Sun P F.Energy-efficient Control of Energy Storage Tram with Signaling Constraints[C].Chinese Control Conference,2018. EI

9. Xiao Z,Chen M,Chai Y,Liu C,Wang Q Y. Energy-efficient Operation of High-speed Trains Based on a Multiple Phases Mode[C].Chinese Control Conference,2018. EI

10. Jin B,Sun P F,Xu M J,Wang Q Y. Train Timetable and Trajectory Optimization Using Improved State-space MILP[C].Chinese Control Conference,2018. EI