人才培养资助
德国洪堡学者，2023
上海市青年科技英才“扬帆计划”，2021
上海高层次人才引进计划，2020
荷兰科学研究组织Rubicon学者，2018
获奖情况
王鹏玲；《区域轨道交通网络客流分析及运营协同优化仿真平台》获第八届“ 全国铁路青年科技创新奖”，2023
Yongqiu Zhu,Pengling Wang*, Francesco Corman. A Deep Reinforcement Learning Framework for Delay Management with Passenger Re-routing, Best papers of RailBeijing 2021,1st place, 2021
Pengling Wang; Energy efficient train trajectory optimization & influence on DAS, Eress award, 2nd place, European Partnership for Railway Energy Settlement Systems, 2017
近五年主持或参与的科研项目/课题：
1.上海市自然科学基金,面上项目, 基于区域轨道交通联程运输服务的极端通勤主动缓解技术研究, 2023-04 至 2026-03, 20万元, 在研, 主持
2. 国家自然科学基金委员会, 面上项目, 72171174, 考虑竞合关系的区域多制式轨道交通复合网络旅客联程运输组织优化研究, 2022-01-01 至 2025-12-31, 48万元, 在研, 参与
3. 国家自然科学基金委员会, 青年科学基金项目, 72101184, 虚拟编组条件下轨道交通系统能力及运营可靠性研究, 2022-01-01 至 2024-12-31, 30万元, 在研, 主持
4. 上海市青年科技英才扬帆计划, 21YF1450200, 虚拟编组条件下的多列车协同优化与控制方法研究, 2021-05 至 2024-04, 20万元, 在研, 主持
教学情况：
1. 参与《运输系统数据分析技术》、《列车运行智能管理与动态调度》本科课程
2. 主讲《轨道交通运输组织优化及智能化》博士课程
学生创新指导：
1. 指导本科生作品《虚拟编组模式下Y型线路时刻表优化与运力评估》获2022城市轨道交通运营设计与应急处理赛项-本科组创新赛道国内三等奖
近期研究成果：
(1)Pengling Wang;Yongqiu Zhu*; Wei Zhu;Robust cooperative train trajectory optimization with stochastic delays under virtual coupling,IET Intelligent Transport Systems, 2023 (期刊论文)
(2) Fangsheng Wang, Ruihua Xu, Xuyang Song,Pengling Wang*; Collaborative optimization of last-train timetables for metro network to increase service time for passengers, Computers & Operations Research, 2023 (期刊论文)
(3)Pengling Wang; Yongqiu Zhu*; Francesco Corman;Passenger-centric periodic timetable adjustment problem for the utilization of regenerative energy, Computers & Industrial Engineering, 2022 (期刊论文)
(4) Wei Zhu; Mengfei Chen;Pengling Wang*; Cooperative Control of Multistation Passenger Inflows in Case of Irregular Large-Scale Passenger Flows, Journal of Advanced Transportation, 2022 (期刊论文)
(5)Pengling Wang*; Annik Jeiziner; Xiaojie Luan; Francesco Corman; An Experimental Analysis of Hierarchical Rail Traffic and Train Control in a Stochastic Environment, Journal of Advanced Transportation, 2022 (期刊论文)
(6)Pengling Wang*; Nikola Bešinović; Rob M. P. Goverde; Francesco Corman; Improving the Utilization of Regenerative Energy and Shaving Power Peaks by Railway Timetable Adjustment, IEEE Transactions on Intelligent Transportation Systems, 2022 (期刊论文)
(7) Shuguang Zhan*;Pengling Wang*; S.C. Wong; S.M. Lo; Energy-efficient high-speed train rescheduling during a major disruption, Transportation Research Part E: Logistics and Transportation Review, 2022, 157(102492), (期刊论文)
(8)Pengling Wang*; AlessioTrivella; Rob M.P. Goverde; Francesco Corman ; Train trajectory optimization for improved on-time arrival under parametric uncertainty, Transportation Research Part C: Emerging Technologies, 2020, 119(102680) (期刊论文)
(9)Pengling Wang*; Rob M.P.Goverde ; Multi-Train trajectory optimization for energy-efficient timetabling, European Journal of Operational Research, 2019, 272: 621-635 (期刊论文)
(10)Pengling Wang*; Rob M.P.Goverde; Jelle van Luipen ; A connected driver advisory system framework for merging freight trains, Transportation Research Part C: Emerging Technologies, 2019, 105: 203-221 (期刊论文)
(11)Pengling Wang*; Rob M.P.Goverde ; Multi-train trajectory optimization for energy efficiency and delay recovery on single-track railway lines, Transportation Research Part B: Methodological, 2017, 105: 340-361 (期刊论文)
(12)Pengling Wang*; Rob M.P. Goverde ; Multiple-phase train trajectory optimization with signalling and operational constraints, Transportation Research Part C: Emerging Technologies, 2016, 69: 255-275 (期刊论文)
(13)Pengling Wang*; Lei Ma; Rob M.P. Goverde; Qingyuan Wang; Rescheduling trains using petri nets and heuristic search,IEEE Transactions on Intelligent Transportation Systems, 2016, 17(3): 726-735, (期刊论文)
(14)Pengling Wang*; Rob M.P. Goverde; Two-Train Trajectory Optimization with a Green-Wave Policy,Transportation Research Record: Journal of the Transportation Research Board, 2016, 2546: 112-120, (期刊论文)