Location
2116 GG Brown
2350 Hayward, Ann Arbor, Michigan 48109-2125
Phone
Primary Website
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.
- Research Professor, University of Michigan Transportation Research Institute
- Director, Center for Connected and Automated Transportation
- Director, Michigan Traffic Lab
Professional Service
Managing Editor, Journal of Intelligent Transportation Systems
Publications
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.
Additional Titles
- Research Professor, University of Michigan Transportation Research Institute
- Director, Center for Connected and Automated Transportation
- Director, Michigan Traffic Lab
- Director, Mcity