Henry Liu

Dr. Henry Liu is the Director of USDOT Midwest Center for Connected and Automated Transportation at the University of Michigan. He is also a Professor of Civil and Environmental Engineering and a Research Professor at the UM Transportation Research Institute (UMTRI). Prior joining the University of Michigan, he was an Associate Professor of Civil Engineering at the University of Minnesota, Twin Cities. Dr. Liu received his Ph.D. degree in Civil and Environmental Engineering from the University of Wisconsin at Madison in 2000 and his Bachelor degree in Automotive Engineering from Tsinghua University (China) in 1993.

Dr. Liu's research interests focus on traffic network monitoring, modeling, and control, including traffic flow modeling and simulation, traffic signal operations, network traffic assignment, and mobility and safety applications with connected and automated vehicles. Dr. Liu is the managing director of Journal of Intelligent Transportation Systems, associate editor of Transportation Research Part C, Network and Spatial Economics, and Transportmetrica Part B. He is also on the editorial board of Transportation Research Part B and IET Journal of Intelligent Transportation Systems.

Dr. Liu is one of the co-founders for SMART Signal Technologies, Inc., a Minnesota-based start-up company to commercialize his research work on traffic signal performance measurement and optimization.

EDUCATION

• Ph.D. in Civil and Environmental Engineering, University of Wisconsin – Madison, 2000

• B.S. in Automotive Engineering, Tsinghua University, P.R.China, 1993

RESEARCH INTERESTS

Prof. Liu conducts interdisciplinary research at the interface between Transportation Engineering, Automotive Engineering, and Artificial Intelligence, with a focus on cyber-physical transportation systems. Specifically, his scholarly interests concern traffic flow monitoring, modeling, and control, testing and evaluation of connected and automated vehicles, and cooperative automated driving.

Prof. Liu’s recent research projects include:

• Smart Intersections
• Testing and Evaluation of Automated Vehicles
• Next Generation Traffic Control Systems

PROFESSIONAL SERVICE

• Managing Editor, Journal of Intelligent Transportation Systems

PUBLICATIONS

Representative Publications:

Feng, S., Yan, X., Sun, H., and Liu H. (2021) Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment

Yang, Z., Feng, Y., and Liu, H. (2021) A cooperative driving framework for urban arterials in mixed traffic conditions

Feng S., Feng Y., Yu, C., Zhang Y., and Liu H.X. (2020). Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology

Feng S., Feng Y., Sun, H.W., Bao, S., Zhang Y., and Liu H.X. (2020). Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies

Wong W., Shen S., Zhao Y. and Liu, H. X. (2019). On the estimation of connected vehicle penetration rate based on single-source connected vehicle data. Transportation Research Part B: Methodological 126, 169-191.

Feng, Y., Yu, C., & Liu, H. X. (2018). Spatiotemporal intersection control in a connected and automated vehicle environment. Transportation Research Part C: Emerging Technologies, 89, 364-383.

Feng, Y., Zheng, J., & Liu, H. X. (2018). Real-time detector-free adaptive signal control with low penetration of connected vehicles. Transportation Research Record, 2672(18), 35-44.

Di, X., Liu, H. X., Pang, J. S., & Ban, X. J. (2013). Boundedly Rational User Equilibria (BRUE): mathematical formulation and solution sets, Transportation Research Part B: Methodological, 57, 300-313.

Jabari, S. E., & Liu, H. X. (2013). A stochastic model of traffic flow: Gaussian approximation and estimation. Transportation Research Part B: Methodological, 47, 15-41.

Liu, H. X., Wu, X., Ma, W., & Hu, H. (2009). Real-time queue length estimation for congested signalized intersections. Transportation research part C: emerging technologies, 17(4), 412-427.