研究方向

主要从事以人工智能与大数据技术为支撑的交通出行行为、交通规划与管理、自动驾驶等基础及前沿课题研究工作。

主要研究成果

主持科技部国家重点研发计划国际合作1项、国家自然科学基金项目3项（面上2项、青年1项）、教育部科研课题2项（博士点基金新教师类和留学回国人员科研启动基金），参与国家自然科学基金中荷国际合作项目2项，教育部创新团队“大城市交通管理理论及系统”等重大课题6项。

在交通运输工程领域高水平期刊以及国际会议上发表论文100余篇，其中SCI/EI收录检索论文60余篇，SCI收录35余篇(主要发表在Transportation Research Part A/C、IEEETransactions on ITS等)。主参编3本外文专著，获授权发明专利13件，软著10项。荣获中国公路学会科学技术奖二等奖、上海市交通工程学会科技进步特等奖、长三角智能交通创新技术应用大赛高校专题赛一等奖，2023年“上海市巾帼建功标兵”。

主编长三角区域地方标准《自动驾驶道路测试安全风险评估技术规范》（排名第2）、上海市地方标准《自动驾驶开放测试道路环境分级规范》（排名第3）和上海市地方标准《面向自动驾驶智慧交通服务的车路协同系统布设导则》（排名第2）。

论文 （SCI Indexed:）

1.Yang yibin,Hao Li, Huizhao Tu*. Real-time Origin-Destination Demand Forecasting Based on Streaming Temporal Link Prediction in Dynamic Graphs. Transportation research part C. Vol.182(2026) 105413.

2.Mao haoyang,Hao Li*, Jin Zhicheng, Huizhao Tu*, David Hensher. The impact of ride experience on car travelers’ adoption of private and shared Autonomous Vehicle. Travel behavior and society. 41(2025)101099.

3.Yanglintao,Hao Li, Huizhao Tu*. Multi-factor Coupled Friction Coefficient Map Spatiotemporal Modeling and Driving Risk Fusion for Rainy Roads. Accident Analysis and Prevention. (2025)215:108313.

4.Lintao Yang, Huizhao Tu*, Hongren Gong*,Hao Li, Lijun Sun. (2025) Scaling from macro to micro: A novel approach to bridging gaps in multiple pavement texture scales using generative neural networks. Transportation research part C. 174（2025）105108.

5.L. Yang, H. Tu, H.* Gong, Y.D. Wong,H. Li, B. Zhou,μ-FINO: A friction-informed neural operator for cross-scale tire/road friction prediction using vehicle-mounted 3D lasers, Measurement (2025), doi:https://doi.org/10.1016/j.measurement.2025.120130.

6.Yi Lu.Hao Li*, Huizhao Tu, Jian Liu, Yufei Yuan, Hans van Lint. Quantitative assessment on the misuse risk of intelligent connected vehicle data. Journal of Transportation Engineering, Part A: Systems. 2026, Vol.152(2).

7.Lintao Yang, Jianquan Liu, Huizhao Tu*, Hongren Gong*,Hao Li. (2025) Optimizing pavement skid resistance measurement with texture resolution sensitivity indices. Measurement. 249(2025)116986. pp.1-14.

8.H. Li, L. Yu, Y. Zhao, H. Wu, H. Tu*. Deployment of Public Charging Stations for BEVs Using an Agent-Based Modeling Approach, International Journal of Transportation Science and Technology. 20(2025), pp.15-34.

9.Huizhao Tu, Maria Attard*, Ying Yang, Karyn Scerri, Adrian Muscat,Hao Li. (2024) On-demand automated bus services: Opportunities and Challenges. Communications in Transportation Research. Editorial paper. Vol.4.

10.Jin Zhicheng, Mao Haoyang, ChenDi,Li Hao*, Tu Huizhao*, Yang Ying, Attard Maria. (2024) Multi-objective optimization model of autonomous minibus considering passenger arrival reliability and travel risk, Communications in Transportation Research. Vol.4(2024)100152.

11.Chen Di,Li Hao, Jin Zhicheng, Tu Huizhao *, Zhu Meixin. (2024)Risk-Anticipatory Autonomous Driving Strategies Considering Vehicles’ Weights Based on Hierarchical Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems.Vol.25 (12), pp.19605-19618.

12.Jiafeng Yang, Yi Lu, Huizhao Tu*, Yibin Yang,Hao Li, Xuhui He, Xiuhua Li. (2024) Effects of high-speed rail illumination on traffic safety at night in aroad-cum-railway section - implications for the infrastructure design, Journal of transportation safety and security. DOI: 10.1080/19439962.2024.2377154

13.Huizhao Tu, Liying Zhao, Ran Tu,Hao Li. The energy-saving effect of early-stage autonomous vehicles: a case study and recommendations in a metropolitan area. Energy. 297 (2024) 131274.

14.Li, H., Yu, L., Chen, Y., Tu, H*. (2023) Uncertainty in Available Range in Explaining the Charging Choice Behavior of BEV Users. Transportation research part A. Vol. 170, 103624.

15.Zhicheng Jin,Hao Li, Di Chen, Lu Yu, Huizhao Tu*. Accounting for BEV Users’ Risk Attitude and Charging Inertia In En-route Charging Choice Behavior. Journal of Advanced Transportation. Vol.(2024), 9926334.

16.Hao Li, Zhicheng Jin, Hang Cui, Huizhao Tu*. (2024) An exploration on the preferences and mode choice behavior between autonomous demand responsive transit and traditional buses. International Journal of Transportation Science and Technology.Vol. 15, pp.81-101.

17.Huizhao Tu, Min Wang,Hao Li*, Lijun Sun. (2023) Safety risk assessment for autonomous vehicle road testing. Traffic injury prevention. Vol. 24, pp.652-661.

18.Jie Zhu, Kun Gao*,Hao Li, Cristina Olaverri Monreal. (2023)Bi-level Ramp Merging Coordination in Congested Mixed Traffic Conditions with Human-driven and Connected Autonomous Vehicles. Fundamental Research. Vol.4(5), pp.992-1008.

19.Miaojia Lu, Chengyuan Huang*, Ran Wang,Hao Li. (2023) Customer’s adoption intentions toward autonomous delivery vehicle services—Extending DOI theory with social awkwardness and use experience. Journal of Advanced Transportation. Vol.2023, 3440691.

20.Chang Lu, Yuehui Wu,Hao Li, Huizhao Tu. (2022) Trajectory Optimization for Connected and Automated Vehicles in A Drop-off Area of the Departure Curbside. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 27(6), pp.721-734.

21.Wang, Y., Tu, H.*, Sze, N.N.,Li, H., Ruan, X. (2022) A novel traffic conflict risk measure considering the effect of vehicle weight. Journal of Safety Research. Vol.80, pp.1-13.

22.Chen Ting, Guo Changxin,Li Hao, Gao Tao*, Chen Lei, Tu Huizhao, Yang Jiangtian (2022)An Improved Multimodal Trajectory Prediction Method Based on Deep Inverse Reinforcement Learning.ELECTRONICS. 11(24), 4097.

23.Chen, Ting, Chen, Youjing,Li, Hao, Gao, Tao*, Tu Huizhao, Li Siyu. (2022)Driver Intent-Based Intersection Autonomous Driving Collision Avoidance Reinforcement Learning Algorithm. SENSORS. 22(24), 9943.

24.Gao, K., Sun, L., Tu, H.,Li, H.(2018) Heterogeneity in Valuation of Travel Time Reliability and In-Vehicle Crowding for Mode Choices in Multimodal Networks. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS.144(10):04018061.

25.Li, H., Gao, K., Tu, H*. (2017) Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation. Transportation Research Part A. Vol. 103, pp. 250-263.

26.Li, H., H. Tu, N. Zhang. (2017) Travel time variations over time and routes: Endogenous congestion with degradable capacities. Transportmetrica B: Transport Dynamics, Vol.5, Issue 1, pp.60-81.

27.Li, H., H. Tu, D. Hensher. (2016) Integrating the Mean-Variance and Scheduling Approaches to allow for Schedule delay and Trip Time Variability under Uncertainty. Transportation Research Part A. Vol. 89, pp. 151-163.

28.Li, H., Gao, K., Tu, H., Ding, Y., Sun, L. (2016) Perceptions of Mode-specific Travel Time Reliability and Crowding in Multimodal Trips. Transportation Research Record: Journal of the Transportation Research Board. Vol.2566. pp.22-30.

29.Tu, H., Zhenfei,Li, H.Li, Ke, Zhang and L. Sun. (2015). Driving Simulator Fidelity and Emergency Driving Behavior. Transportation Research Record: Journal of the Transportation Research Board, No. 2518, pp. 113–121.

30.Tu, H.,H. Li, Y. Wang, and L. Sun, When to Control the Ramps on Freeway Corridors? A Novel Stability-and-Mfd-Based Approach. IEEE Transactions on Intelligent Transportation Systems, 2014. Vol.15(6): p. 2572-2582.

31.Tu, H.,H. Li, H. van Lint, V. Knoop, and L. Sun (2013) Macroscopic Travel Time Reliability Diagrams for Freeway Networks. Transportation Research Record: Journal of the Transportation Research Board. Vol. 2396, pp.19-27.

32.Tu, H.,H. Li, H. van Lint, H. van Zuylen (2012). Modeling travel time reliability of freeways using risk assessment techniques. Transportation Research Part A, Vol. 46, pp. 1528-1540.

33.Tu, H., A. J. Pel,H. Li, and L. Sun（2012）, Travel Time Reliability during Evacuation: the Impact of Heterogeneous Driving Behavior. Transportation Research Record: Journal of the Transportation Research Board, vol 2312. p.128-133.

34.Li, H., M.C.J. Bliemer and P.H.L. Bovy (2009) Modeling departure time choice with stochastic networks involved in network design. Transportation Research Record (TRR). Vol. 2091, pp. 61-69.

35. Li, H., M.C.J. Bliemer and P.H.L. Bovy (2008) Network reliability-based optimal toll design. Journal of Advanced Transportation 42(3): 311-332. 14.

书籍

1. Li, H. (2009) Reliability-based Dynamic Network Design with Stochastic Networks. PhD Dissertation, Faculty of Civil Engineering and Geosciences, Transportation and Planning Section, Delft University of Technology. TRAIL Thesis Series No. T2009/3. ISBN: 978-90-5584-115-8.

2. Li, H., P.H.L. Bovy, G. Hooghiemstra (2007) Probabilistic properties of stochastic choice set generation. Delft University of Technology. TRAIL Studies in Transportation Science. No. S2007/1. ISBN: 978-90-5584-089-2.

书籍章节

1. Li, H., M.C.J. Bliemer, P.H.L. Bovy (2009) An integrated dynamic road network design approach with stochastic networks. In: Rudy R. Negenborn, Zofia Lukszo, Hans Hellendoorn (Eds.) Intelligent Infrastructures. Publisher: Springer.

2. Li, H., M.C.J. Bliemer and P.H.L. Bovy (2009) Reliability-based Dynamic Discrete Network Design with Stochastic Networks. In Lam, W.H.K., S. C. Wong and H. K. Lo (Eds.) Transportation and Traffic Theory 2009: Golden Jubilee. pp. 651-673. Publisher: Springer US.

3. Li, H., M.C.J. Bliemer, P.H.L. Bovy and H.J. van Zuylen (2008) A reliability-based dynamic network design approach. 10thInternational TRAIL Congress selected papers: Trail in Perspective. pp. 159-174. Series No. P2008/1.

4. Li, H., M.C.J. Bliemer and P.H.L. Bovy (2006) Network reliability-based optimal toll design. 9thInternational TRAIL Congress selected papers: Trail in Motion. pp.161-180. Series No. P2006/1.

5. Li, H. and H. Tu. A Generalized Approach on Departure Time Choice Behavior under Uncertainty: A Comparison to the Scheduling Approach. In Tu, H. and Pel, A.J. (Eds.) Emergency Transport Management: Joint Chinese-Dutch Seminar on Transportation Management and Travel Behaviour for Urban Emergencies: Past, Present, and Future Research. 2014. Shanghai, P. R. China: Trail Research School. pp. 63-70. (ISBN: 978-90-78271-08-6).