王学楷 讲师

• 学院： 电子与控制工程学院
• 性别： 男
• 出生年月：
• 职称： 讲师
• 学位： 博士
• 学历： 博士研究生
• 毕业院校：
• 联系电话：
• 电子邮箱： xkwang@chd.edu.cn
• 通讯地址： 西安市长安大学北校区
• 邮编：
• 传真：
• 办公地址：
• 教育经历：

  西安交通大学，机械工程（机电一体化），学士

  北京交通大学，交通信息工程及控制，博士

  罗马第三大学，交通运输工程，联合培养

王学楷，男，长安大学电子与控制工程学院讲师。从事交通能源融合、交通系统运行控制与优化、智能调度、强化学习等研究，在Transportation Research Part B/E、IEEE TITS、CIE、CEP等交通和工业工程领域期刊发表论文10余篇，主持陕西省自然科学基础研究计划-青年项目、全国重点实验室开放课题等项目，担任《城市轨道交通研究》期刊青年编委，以及TR Part B/C/E、IEEE TITS、ESWA、Energy、ND、JAT等SCI期刊审稿专家。

• 中文科技核心期刊《城市轨道交通研究》 青年编委 2025.08-2026.12

• 世界交通运输大会（WTC）第三届学部委员会 交通装备安全监测与故障诊断技术委员会 青年委员 2023.12-2026.10

• 担任《Transportation Research Part B: Methodological》、《Transportation Research Part C: Emerging Technologies》、《Transportation Research Part E: Logistics and Transportation Review》、《IEEE Transactions on Intelligent Transportation Systems》、《Expert Systems with Applications》、《Energy》、《Nonlinear Dynamics》、《Journal of Advanced Transportation》、《High Speed Rail》、《Transportation Planing and Technology》、《铁道运输与经济》、《26th International Symposium on Transportation and Traffic Theory》（ISTTT2026）、《IEEE International Conference on Intelligent Rail Transportation 2025》（ICIRT2025）、《16th International Conference on Advanced Systems in Public Transport》(CASPT 2025)等期刊和会议的审稿专家

交通能源融合、交通系统运行优化与控制、智能调度、强化学习等

1. Wang X, D’Ariano A, Su S, et al. Cooperative train control during the power supply shortage in metro line: a multi-agent reinforcement learning approach. Transportation Research Part B: Methodological, 2023, 170: 244-278. 

2. Wang X, Tang T, Su S, et al. An integrated energy-efficient train operation approach based on the space-time-speed network methodology. Transportation Research Part E: Logistics and Transportation Review, 2021, 150: 102323.

3. Wang X, D’Ariano A, Su S, et al. Inter-area coordination approach for metro train regulation under localized bi-directional power supply shortage during peak periods. Computers & Industrial Engineering, 2025, 207: 111244. 

4. Su S, Wang X, Cao Y, et al. An energy-efficient train operation approach by integrating the metro timetabling and eco-driving. IEEE Transactions on Intelligent Transportation Systems, 2019, 99: 1-17. 

5. Su S, Wang X, Tang T, et al. Energy-efficient operation by cooperative control among trains: a multi-agent reinforcement learning approach. Control Engineering Practice, 2021, 116: 104901.

6. Wang X, Su S, Tang T. Train regulation during the unidirectional power supply shortage in metro system: A hybrid cooperative control and train timetable rescheduling approach. 2023 IEEE Smart World Congress (SWC2023). IEEE, 2023: 892-897. 

7. Wang X, Su S, Tang T. Cooperative control among trains in the undersupplied area during the fault of traction power supply system in metro line. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC2021). IEEE, 2021: 2411-2416. 

8. Wang X, Tang T, Su S, et al. Energy-efficient operation of multi-trains for metro systems with considering the regenerative energy. 2018 International Conference on Intelligent Rail Transportation (ICIRT2018). IEEE, 2018: 1-5. 

9. Wang X, Su S. Optimisation of train timetables for regenerative braking. Energy-efficient train operation: a system approach for railway networks. Cham: Springer International Publishing, 2023: 103-139.

10. 王学楷, 等. 动态功率下城轨单向供电不足区域行车调整方法[J]. 交通运输系统工程与信息, 2025: 1-12. 

11. Lou J, Wang X, Su S, et al. Energy-efficient metro train operation considering the regenerative energy: a discrete differential dynamic programming approach. 8th International Conference on Railway Operations Modelling and Analysis (Rail Norrkoping 2019). Norrkoping, 2019: 1-20.

12. Su B, Andrea D’Ariano, Su S, Wang X, Tang T. Integrated train timetabling and rolling stock rescheduling for a disturbed metro system: A hybrid deep reinforcement learning and adaptive large neighborhood search approach. Computers & Industrial Engineering, 2023, 186: 109742.

13. Su B, Tang T, Su S, Wang Z, Wang X. Integrated rescheduling of train timetables and rolling stock circulation for metro line disturbance management: A Q-learning-based approach. Engineering Optimization, 2023: 1-24.

14. Su S, Goverde R M P, Wang X, et al. Energy-Efficient Strategies for Train Operation. Energy-Efficient Train Operation: A System Approach for Railway Networks. Cham: Springer International Publishing, 2023: 19-39.

15. 宿帅, 刘旭, 王学楷, 唐涛, 曹源. 北京地铁双超列车运行图编制方法[J]. 交通运输系统工程与信息, 2021, 21(01): 101-107.

16. 刘硕, 刘旭, 谢浩, 崔宝山, 王学楷, 马铁军. 城轨列车运行时分节能优化方法[J]. 都市快轨交通, 2019, 32(05): 145-150.

ResearchGate个人主页：https://www.researchgate.net/profile/Xuekai-Wang

谷歌学术个人主页：https://scholar.google.com/citations?user=gOlcmXEAAAAJ&hl=en