李萌

职称:研究员 博士生导师
电话:+86(10)62797962
邮箱:mengli@tsinghua.edu.cn
通信地址:北京市海淀区清华大学土木馆(何善衡楼)315
邮编:100084

个人主页
教育背景

2007/01 - 2010/03,日本名古屋大学,交通工程,博士

2003/01 - 2004/12,美国加州大学伯克利分校,交通工程,工学硕士

2001/08 - 2003/01,美国加州大学伯克利分校,物流与供应链管理,科学硕士

1997/09 - 2001/07,清华大学,土木工程,学士

工作履历

2021/02-至今     清华大学,土木工程系,研究员

2017/07-2021/01   清华大学,土木工程系,副教授

2014/09-至今     清华大学,土木工程系,博士生导师

2010/11-2017/06   清华大学,土木工程系,副研究员

2006/08-2010/08   美国加州大学伯克利分校,多模式交通研究中心,主任

2004/12-2010/08   美国加州大学伯克利分校,智能公交与公路研究所,副研究员

开设课程

1. 《绿色交通系统》清华大学本科生精品课

2. 《智能交通系统基本理论与应用》 研究生课

3. 《智能交通专业创新实践》 实践课

4. 《人工智能产业导引》 本科生课

5. 《科技与人文研讨课》 本科生课

研究领域

智能交通系统

自动化交通系统

交通大数据建模

应急交通组织与控制

科研项目

1. 国家重点研发计划,冬奥会交通与安保协同管控体系,2019/03-2021/12,项目负责人

2. 北京2022年冬奥会和冬残奥会组委会交通专项,冬奥会交通运行专项测试组织与评估,2021/10-2022/04,项目负责人

3. 国家自然科学基金海外合作研究基金,连续空间高密度行人疏导与管理设施优化研究,2019/01-2020/12,项目负责人

4. 北京市科技重大专项,基于人地关系大数据的道路交通运行健康诊断关键技术及应用示范,2019/07-2021/06,课题负责人

5. 国际科技合作项目,自动驾驶交通系统研究,2018/08-2021/07,项目负责人

6. 国家优秀青年科学基金项目,交通供需平衡机理与调控、2017/01-2019/12,项目负责人

7. 国家科技支撑计划项目,城市核心功能区交通智能联网联控关键技术与示范,2014/01-2016/12,项目负责人

8. 国家自然基金重点项目,基于多源检测数据的城市路网交通流主动式管理与控制理论研究,2012/05-2016/12,子课题负责人

9. 国家自然基金面上项目,基于智能体仿真的可持续交通综合策略优化研究,2014/01-2017/12,项目负责人

学术兼职

2019.12 至今 IEEE Open Journal of Intelligent Transportation Systems 副主编

2019.05 至今 Smart and Resilient Transportation 副主编

2019.01 至今 国家智能交通标准委员会交通出行信息组 副组长

2018.10 至今 中国智能交通协会静态交通专业委员会 秘书长

2018.07 至今 北京市公安局 特聘专家

2018.01 至今 城市道路交通智能控制技术北京市重点实验室学术委员会委员 特聘专家

2017.12 至今 中国交通运输协会青年科技工作者委员会 副主任

2016.05 至今 亚太运筹学杂志(SCI) 副主编

2015.10 至今 Journal of Intelligent Transportation Systems(SCI) 编委

2014.04 至今 美国科学院交通研究委员会(TRB)交通信号系统(AHB25)学术委员会 委员

2013.12 至今 世界交通研究学会(WCTRS)学术委员会 委员

2014.12 至今 世界交通研究学会(WCTRS)区域宏观交通管理专委员会 主席

2006.01 至今 美国交通工程协会(ITE)智能交通信号控制(ITSO) 委员

2002.01 至今 美国土木工程师协会(ASCE) 会员

2002.01 至今 海外华人交通协会(COTA) 成员

2006.01 至今 国际华人交通运输协会(ICTPA) 成员

奖励与荣誉

2020年,安徽省科学技术奖一等奖

2019年,中国智能交通协会中青年科技创新领军人才

2019年,中国智能交通协会科学技术奖一等奖

2019年,地理信息协会科技进步奖特等奖

2018年,公安部科技进步一等奖

2018年,中国智能交通协会突出贡献专家

2018年,第十八届COTA国际交通科技年会最佳论文

2017年,北京市教育教学成果一等奖

2016年,国家自然科学基金优秀青年科学基金

2015年,中国智能交通协会突出贡献专家

2015年,第十五届COTA国际交通科技年会最佳论文奖

2015年,清华大学教学成果一等奖

2013年,第十三届COTA国际交通科技年会最佳论文奖

2011年,国家科学技术进步奖二等奖

学术成果

1、专著

[1] 《公共交通系统规划及运营原理》,人民交通出版社股份有限公司, 2017

[2] 《城市交通拥堵治理实践》,人民交通出版社, 2013

[3] 《Traffic Data Collection and its Standardization》, Springer, 2010

2、标准

[1]《道路交通拥堵经济损失评估指南》(GA/T 1248-2015)

[2]《Android应用质量技术要求及评分细则》(TAF-WG2-AS0044)

3、代表性论文(*通讯作者)

[1] Li, M.; Chen, X.*; Lin, X.; Xu, D.; Wang, Y.; Connected vehicle-based red-light running prediction for adaptive signalized intersections, Journal of Intelligent Transportation Systems, 2018, 22(3): 229-243. (期刊论文)

[2] Li, M.; Lin, X.; He, F.*; Jiang, H.; Optimal Locations and Travel Time Display for Variable Message Signs, Transportation Research Part C: Emerging Technologies, 2016, (2016): 418-435. (期刊论文)

[3] Zhang, Z.#; Li, M.*; Lin, X.; Wang, Y.; Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data, Transportation Research Part C: Emerging Technologies, 2020, 121. (期刊论文)

[4] Zou, M.; Li, M.*; Lin, X.; Xiong, C.; Mao, C.; Wan, C.; Zhang, K.; Yu, J.; An agent-based choice model for travel mode and departure time and its case study in Beijing, Transportation Research Part C: Emerging Technologies, 2016, 64: 133-147. (期刊论文)

[5] Li, M.; Jia, Y.; Shen, Z.; He, F.*; Improving the electrification rate of the vehicle miles traveled in Beijing: A data-driven approach, Transportation Research Part A: Policy and Practice, 2017, 97(2017): 106-120. (期刊论文)

[6] Zhang, K.#; He, F.; Zhang, Z.#; Lin, X.; Li, M.*; Graph Attention Temporal Convolutional Network for Traffic Speed Forecasting on Road Networks, Transportmetrica B: Transport Dynamics, 2020, 9(1). (期刊论文)

[7] Chen, X.#; Lin, X.; He, F.; Li, M.*; Modeling and control of automated vehicle access on dedicated bus rapid transit lanes, Transportation Research Part C: Emerging Technologies, 2020, 120. (期刊论文)

[8] Tang, P.#; He, F.; Lin, X.; Li, M.*; Online-to-offline Mobile Charging System for Electric Vehicles: Strategic Planning and Online Operation, Transportation Research Part D: Transport and Environment, 2020, 87. (期刊论文)

[9] An, Y.#; Li, M.; Lin, X.; He, F.*; Yang, H.; Space-time routing in dedicated automated vehicle zones, Transportation Research Part C: Emerging Technologies, 2020, 120. (期刊论文)

[10] Li, H.#; Li, M.; Lin, X.; He, F.*; Wang, Y.; A spatiotemporal approach for traffic data imputation with complicated missing patterns, Transportation Research Part C: Emerging Technologies, 2020, 119. (期刊论文)

[11] Yin, S.; Chen, X.; Li, M.; Shi, Q.; Li, Z.*; Evaluation of Accident Induced Indirect Costs for Measuring Penalties on Violations of Laws, Transportation Research Record, 2012, 2317: 111-120. (期刊论文)

[12] Luo, Z.; He, F.; Lin, X.; Wu, J.; Li, M.*; Joint deployment of charging stations and photovoltaic power plants for electric vehicles, Transportation Research Part D: Transport and Environment, 2020, 79. (期刊论文)

[13] Tang, X.; Li, M.; Lin, X.; He, F.*; Online operations of automated electric taxi fleets: An advisor-student reinforcement learning framework, Transportation Research Part C: Emerging Technologies, 2020, 121. (期刊论文)

[14] Zhang, K.#; He, F.; Zhang, Z.#; Lin, X.; Li, M.*; Multi-vehicle routing problems with soft time windows: A multi-agent reinforcement learning approach, Transportation Research Part C: Emerging Technologies, 2020, 121. (期刊论文)

[15] Lin, X.; He, F.*; Li, M.; Liu, Y.; On the Existence of System Optimum–Inducing Tolling Functions for Transportation Networks, Transportation Science, 2020, 54: 1439-1731. (期刊论文)

[16] Zhang, SC; Zhou, LX; Chen, XQ*; Zhang, L; Li, L; Li, M; Network-wide traffic speed forecasting: 3D convolutional neural network with ensemble empirical mode decomposition, Computer-aided civil and infrastructure engineering, 2020, 35(10): 1132-1147. (期刊论文)

[17] Luan, S.; Li, M.; Li, X.; Ma, X.*; Effects of Built Environment on Bicycle Wrong Way Riding Behavior: A Datadriven Approach, Accident analysis and prevention, 2020, 144. (期刊论文)

[18] Lin, R.; Xu, H.*; Li, M.; Zhang, Z.; Resource Allocation in Edge-Computing based Wireless Networks based on Differential Game and Feedback Control, CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 64(2): 961-972. (期刊论文)

[19] Song, M.; Wang, K.; Zhang, Y.*; Li, M.; Qi, H.; Impact Evaluation of Bike-Sharing on Bicycling Accessibility, Sustainability, 2020, 12. (期刊论文)

[20] Li, M.*; Yin, Y.; Zhang, W.; Zhou, K.; Nakamura, H.; Modeling and Implementation of Adaptive Transit Signal Priority on Actuated Control Systems, Computer-Aided Civil and Infrastructure Engineering, 2011, 26(4): 270-284. (期刊论文)

[21] Yang, Y.*; Li, M.; Yu, J.; He, F.; Expressway bottleneck pattern identification using traffic big data—The case of ring roads in Beijing, China, Journal of Intelligent Transportation Systems, 2020, 24(1): 54-67. (期刊论文)

[22] Zhang, Z.#; Li, M.; Lin, X.; Wang, Y.; He, F.*; Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies , Transportation Research Part C: Emerging Technologies, 2019, 105: 297-322. (期刊论文)

[23] Chen, X.; Yin, M.; Song, M.; Zhang, L.; Li, M.*; Social Welfare Maximization of Multimodal Transportation Theory, Metamodel, and Application to Tianjin Ecocity, China , Transportation Research Record, 2014, 2451(2451): 36-49. (期刊论文)

[24] Li, H.; He, F.; Lin, X.; Wang, Y.; Li, M.*; Travel time reliability measure based on predictability using the Lempel-Ziv algorithm, Transportation Research Part C: Emerging Technologies, 2019, 101: 161-180. (期刊论文)

[25] Yan, H.#; He, F.; Lin, X.; Yu, J.; Li, M.*; Wang, Y.; Network-level multiband signal coordination scheme based on vehicle trajectory data , Transportation Research Part C: Emerging Technologies, 2019, 107: 266-286. (期刊论文)

[26] Wang, Z.; Chen, X.; Ouyang, Y.; Li, M.*; Emission Mitigation via Longitudinal Control of Intelligent Vehicles in a Congested Platoon, Computer-Aided Civil and Infrastructure Engineering, 2015, (2015): 490-506. (期刊论文)

[27] Wang, C.#; He, F.; Lin, X.; Shen, Z.; Li, M.*; Designing locations and capacities for charging stations to support intercity travel of electric vehicles: An expanded network approach , Transportation Research Part C: Emerging Technologies, 2019, 102: 210-232. (期刊论文)

[28] Li, M.; Chen, X.*; Ni, W.; An Extended Generalized Filter Algorithm for Urban Expressway Traffic Time Estimation based on Heterogeneous Data, Journal of Intelligent Transportation Systems, 2016, 20(5): 474-484. (期刊论文)

[29] Chen, Z.; Lin, X.; Yin, Y.*; Li, M.; Path controlling of automated vehicles for system optimum on transportation networks with heterogeneous traffic stream, Transportation Research Part C: Emerging Technologies, 2019, 110: 213-329. (期刊论文)

[30] He, F.; Yang, J.; Li, M.*; Vehicle scheduling under stochastic trip times: An approximate dynamic programming approach, Transportation Research Part C: Emerging Technologies, 2018, 96: 144-159. (期刊论文)

[31] Lin, X.; Li, M.; He, F.*; Nonlinear pricing in linear cities with elastic demands, Transportation Research Part C: Emerging Technologies, 2018, 95: 616-635. (期刊论文)

[32] Li, L.; Wang, S.; Li, M.*; Tan, J.; Comparison of travel mode choice between taxi and subway regarding traveling convenience, Tsinghua Science and Technology, 2018, 23(2): 135-144. (期刊论文)

[33] Li, L.; Wang, S.; Li, M.; Tan, J.; Travel Mode Choice between Taxi and Subway : A Comparison Study on Traveling Convenience, Transportation Research Part A: Policy and Practice, 2016, 9. (期刊论文) [48] Tan, J.; Yin, K.; Li, M.*; Guo, W.; Huang, Y.; Wang, L.; Signal Timing Estimation Using Mobile Navigation Data, Journal of Transportation Systems Engineering and Information, 2017, 17(2): 60-67. (期刊论文)

[34] Li, M.; Lin, X.; Chen, X.*; A surrogate-based optimization algorithm for network design problems, Frontiers of Information Technology and Electronic Engineering, 2017, 18(11): 1693-1704. (期刊论文)

[35] Tang, J.; Jiang, H.*; Li, Z.; Li, M.; Liu, F.; Wang, Y.; A Two-Layer Model for Taxi Customer Searching Behaviors Using GPS Trajectory Data, IEEE Transactions on Intelligent Transportation Systems, 2016, 17(11): 3318-3324. (期刊论文)

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