沈旻宇

邮箱:shenminyu@swufe.edu.cn

电话：+86 16605731026

个人简介

香港理工大学电机工程系博士、博士后，美国密歇根大学访问学者。研究方向：数据驱动决策方法及其在交通智能化中的应用、强化学习、 网络博弈建模、公交运营管理。

在交通管理顶级/权威期刊Transportation Research Part A/B/C/E、Transportation Science、IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Transportation Electrification等发表论文10余篇。主持了国家自然科学基金青年项目、四川省自然科学基金青年项目、四川省留学人员科技活动项目择优资助项目、中央高校基本科研业务引进人才科研启动资助重点项目。

教育背景

博士，交通运输系统工程，香港理工大学

硕士，交通运输规划与管理，西南交通大学

学士，交通运输，西南交通大学

研究/工作经历

2022年7月 — 至今，讲师，沙巴体育app下载地址最新版，西南财经大学

2022年3月— 2022年7月，讲师，工商管理学院，西南财经大学

2020年11月— 2021年11月， 博士后，电机工程系，香港理工大学

2018年3月— 2018年7月，访问学者，交通研究中心，美国密歇根大学

2015年3月— 2015年9月，助理研究员，电机工程系，香港理工大学

代表性论文

[1] Shen, M., Gu, W.^*, Hu, S., Cheng, H. (2019) Capacity Approximations for Near- and Far-side Bus Stops in Dedicated Bus Lane. Transportation Research Part B: Methodological (西财A1).

[2] Xiao, F.^*, Shen, M., Xu, Z., Li, R., Yang, H., Yin, Y. (2019) Day-to-day Flow Dynamics for Stochastic User Equilibrium and A General Lyapunov Function. Transportation Science (西财A1).

[3] Zhang, D., Xiao, F., Shen, M., Zhong, S. (2021) DNEAT: A Novel Dynamic Node-Edge Attention Network for Origin-destination Demand Prediction. Transportation Research Part C: Emerging Technologies (西财A2).

[4] Shen, M., Gu, W.^*, Hu, S., Xiao, F. (2023) Efficient Heuristic Methods for Berth Allocation at Multi-line, Multi-berth Curbside Bus Stops. Transportation Research Part C: Emerging Technologies (西财A2).

[5] Hu S., Shen M., Gu W.^* (2023) Impacts of Bus Overtaking Policies on the Capacity of Bus Stops. Transportation Research Part A: Policy (西财A2)..

[6] Shen, M., Li, C., Wu, Y., Bi, X., Xiao, F*. (2024) An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies. IEEE Open Journal of Intelligent Transportation Systems.

[7] Pan, R., Xiao, F.*, Shen, M. (2024) ro-PINN: A Reduced Order Physics-Informed Neural Network for Solving the Macroscopic Model of Pedestrian Flows. Transportation Research Part C: Emerging Technologies (西财A2, 学生一作).

[8] Bi, X., Shen, M.*, Gu, W., Chung, E., Wang, Y. (2024) Real-Time Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning. IEEE Transactions on Transportation Electrification (中科院大类一区)..

[9] Liu, Y., Xiao, F., Shen, M., Zhao, L., Li, L.* (2024) The k-th Order Mean-Deviation Model for Route Choice Under Uncertainty. Transportation Research Part E: Logistics and Transportation Review (西财A2, 学生一作).

[10] Xu, Z., Wang, C., Shen, M.*, Li, C., Liu, X. (2025) Reinforcement Learning for Bus Bunching Mitigation: A Systematic Evaluation of Configurations and Performances. IEEE Transactions on Intelligent Transportation Systems (西财A2)..

在投论文

[1] Shen, M., Xiao, F., Gu, W., Ye, H., Cognitive Hierarchy in Day-to-day Traffic Dynamics. Transportation Science. Under revision.

[2] Shen, M., Bi, X., Gu, W.*, Xu, Z., Wu, Y., Xiao F., Zheng, Y.* Learning to Hold Buses from Historical Uncontrolled Trajectories: An Offline Reinforcement Learning Approach. IEEE Transactions on Knowledge and Data Engineering. Under review.

[3] Shen, M., Gu, W.*, Cassidy, M.J., Ni, W., Lin, Y. Breaking a Harmful Feedback Loop: Mitigating Bus Queuing and Headway Irregularity on Busy Corridors. Transportation Research Part A: Policy. Under review.

[4] Li, C., Shen, M.*, Hu, Q., Zhen, L., Xiao, F.* Dynamic Bus Holding Control for Multi-line Busy Bus Corridors: Mitigating Bus Queues and Improving Headway Regularity via Graph-aware Deep Reinforcement Learning. Submitted to Transportation Research Part E: Logistics and Transportation Review. Under review.

工作论文

[1] Shen, M., Ma, J., Gu, W.*, Song, B., Kou, G. Optimizing Airplane Boarding: Systematic Evaluation of Co-travel Compatible Limited Group Assignment Policies and their Deep Reinforcement Learning-based Dynamic Advancement.

[2] Shen, M., Zhen, L., Gu, W.*, Shen, Q., Zhang, L. Bus Holding Control Considering Realistic Passenger Boarding Features.

担任期刊审稿

Transportation Research Part B/E、European Journal of Operational Research等

指导学生经历

[1] 指导2023届两名本科生获校优秀毕业论文：徐俊桥《基于移动机器人的校园无人配送路径优化》，欧阳仲昆《论公交线路仿真与公交串车现象分析》。

[2] 指导学生作品获第十六届大学生计算机设计大赛省级三等奖。

[3] 指导学生获得第四届四川省大学生金融科技建模大赛荣誉奖名次4-7/600+

教学课程

本科：机器学习与数据挖掘、管理决策模型与方法

硕士：网络建模与均衡分析、图网络建模与分析

博士：强化学习

专利/软件著作权

[1] 肖峰，沈旻宇，涂雯雯，郑梦雷（2017）一种基于胎压的载重检测方法、基于胎压检测的公交车客 流量计算方法及装置。CN104132722B

[2] 肖峰，涂雯雯，陈冬，沈旻宇（2018）一种基于手机运动传感器数据的交通流拥挤判断方法及装置。 CN105741554A

[3] 肖峰，沈旻宇，陈冬, (2013) 软件著作权, 智慧公交。2013SRO84783

[4] 肖峰，沈旻宇，陈冬, (2013) 软件著作权, 的信。2013SRO84788