姓名：王学楷
性别：男
民族：汉
职称：讲师
Email：xkwang@chd.edu.cn
学习工作：
2013.9-2017.7西安交通大学 本科
2017.9-2023.12北京交通大学 博士
2021.10-2022.11罗马第三大学 联合培养博士
研究领域及方向：
交通能源融合、智能驾驶、智能调度、强化学习等
学术及科研成果
在TR Part B/E、T-ITS等SCI期刊发表论文10余篇，合计被引550余次，含ESI高被引论文1篇，担任TR Part B/C/E、T-ITS、ESWA、Energy等期刊审稿人
科研项目
批准时间 | 项目名称 | 项目 性质 | 项目 经费 | 承担 责任 |
2020.04 | 基于多智能体强化学习的列车协同运行控制方法研究 | 中央高校基本科研业务经费 | 1.5万元 | 主持 |
2021.03 | 客流车流耦合的行车组织动态调整技术 | 国家重点研发计划-任务 | 273.6万元 | 参与 |
2021.01 | 基于动态时空防护的高速列车编队运行控制方法 | 国家自然科学基金-面上项目 | 58万元 | 参与 |
2020.01 | 虚拟编组条件下高速铁路列车运行计划与驾驶控制一体优化模型与算法 | 国家自然科学基金-面上项目 | 49万元 | 参与 |
2019.01 | 长大下坡区段重载列车智能驾驶控制方法 研究 | 国家自然科学基金-青年项目 | 30万元 | 参与 |
2022.01 | 基于感知客流的城轨列车群智能无人调度方法 | 北京市自然科学基金 | 20万元 | 参与 |
发表论文
[1] 王学楷, Andrea D’Ariano, 宿帅, 唐涛. 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] 王学楷, 唐涛, 宿帅, 阴佳腾, 高自友, 吕楠. 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] 宿帅, 王学楷, 唐涛, 王广, 曹源. Energy-efficient operation by cooperative control
among trains: A multi-agent reinforcement learning approach. Control Engineering
Practice, 2021, 116: 104901.
[4] 宿帅, 王学楷, 曹源, 阴佳腾. 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] 王学楷 , 宿 帅 . Optimisation of train timetables for regenerative braking.
Energy-efficient train operation: a system approach for railway networks. Cham:
Springer International Publishing, 2023: 103-139.
[6] 王学楷, 宿帅, 唐涛. 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 (SWC 2023). IEEE, 2023: 892-897.
[7] 王学楷, 宿帅, 唐涛. 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] 王学楷, 唐涛, 宿帅, 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] 苏博艺, Andrea D’Ariano, 宿帅, 王学楷, 唐涛. 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.
[10] 苏博艺, 唐涛, 宿帅, 王志凯, 王学楷. Integrated rescheduling of train timetables and
rolling stock circulation for metro line disturbance management: A Q-learning-based
approach. Engineering Optimization, 2023: 1-24.
[11] 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.
[12] 宿帅, Rob M P Goverde, 王学楷, 田忠北. Energy-efficient strategies for train
operation. Energy-efficient train operation: a system approach for railway networks.
Cham: Springer International Publishing, 2023: 19-39.
