Henry Liu is director of the University of Michigan Transportation Research Institute (UMTRI), and former director of Mcity, U-M’s public-private research partnership focused on transforming mobility, that is now part of UMTRI. He also is a professor in the Department of Civil and Environmental Engineering at U-M, and director of the U.S. Department of Transportation’s Region 5 Center for Connected and Automated Transportation. In addition, Liu founded U-M’s Next Generation Transportation Systems program. In September 2023, Liu was appointed the Bruce D. Greenshields Collegiate Professor of Engineering at U-M.
Expertise: Transportation engineering, automotive engineering, artificial intelligence, cyber-physical transportation systems, smart traffic signal systems, safety validation of autonomous vehicles, traffic signal optimization
Let’s Connect
Phone
(734) 764-4354
Location
UMTRI
2901 Baxter Rd. Rm 158
Ann Arbor, MI 48109
Primary Website
umtri.umich.edu
Additional Information
Education
Ph.D. Civil and Environmental Engineering, University of Wisconsin Madison
B.S. Automotive Engineering, Tsinghua University China
Awards and Service
- Managing Editor, Journal of Intelligent Transportation Systems
Key Projects
Publications
Feng, S., Yan, X., Sun, H., and Liu H. (2021) Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment, Nature Communications, DOI: 10.1038/s41467-021-21007-8
Yang, Z., Feng, Y., and Liu, H. (2021) A cooperative driving framework for urban arterials in mixed traffic conditions, Transportation Research Part C: Emerging Technologies, 124, https://doi.org/10.1016/j.trc.2020.102918.
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. IEEE Transactions on Intelligent Transportation Systems, DOI: 1109/TITS.2020.2972211.
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. IEEE Transactions on Intelligent Transportation Systems, DOI: 1109/TITS.2020.2988309.
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.