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Tianyi Li, Ph.D.

Assistant Professor
Civil Engineering

Courses Taught

CVNG 4930/5930 Modern Methods for Intelligent Transportation Systems; CVNG 2020 GIS and Surveying in Civil Engineering Lab

Education

  • Ph.D., Civil Engineering, Transportation, University of Minnesota, Twin Cities
  • M.S., Civil Engineering, Transportation, University of Washington, Seattle
  • B.S., Civil Engineering, Iowa State University

Practice Areas

  • Transportation-Cyber-Physical Systems (T-CPS)
  • Automated and connected vehicles
  • Traffic modeling and control
  • AI in Transportation
  • Urban mobility solutions
  • Traffic safety and sustainable transportation

Research Interests

My research interests span Transportation-Cyber-Physical Systems (T-CPS), machine learning with transportation priors, traffic modeling and control, sustainable urban mobility, and transportation-related safety.

Publications and Media Placements

Publications and Media Placements
 
Li, T., Halatsis, A., & Stern, R. (2025). RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality. IEEE Transactions on Intelligent Transportation Systems.
 
Li, T., Klavins, J., Xu, T., Zafri, N. M., & Stern, R. (2025). Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota. Journal of Safety Research.
 
Li, T., Wang, S., Shang, M., Choi, S., & Stern, R. (2024, Sep.). A customizable neural network based framework for autonomous vehicle control with human-guided learning. 27th IEEE International Conference on Intelligent Transportation Systems, IEEE.
 
Li, T., Shang, M., Wang, S., & Stern, R. (2024). Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach. IEEE Open Journal of Intelligent Transportation Systems.
 
Li, T., & Stern, R. (2024). Car-Following-Response-Based Vehicle Classification via Deep Learning. ACM Journal on Autonomous Transportation Systems.
 
 
Li, T., Wang, S., Shang, M., & Stern, R. (2024, June). Can cyberattacks on adaptive cruise control vehicles be effectively detected? In 2024 IEEE Intelligent Vehicles Symposium (IV). IEEE.
 
Shang, M., Wang, S., Li, T., & Stern, R. (2024, June). Interaction-aware model predictive control for automated vehicles in mixed-autonomy traffic. In 2024 IEEE Intelligent Vehicles Symposium (IV). IEEE.
 
Li, T., Rosenblad, B., Wang, S., Shang, M., & Stern, R. (2023, June). Exploring energy impacts of cyberattacks on adaptive cruise control vehicles. In 2023 IEEE Intelligent Vehicles Symposium (IV). IEEE.
 
Xu, T., Barman, S., Levin, M. W., Chen, R., & Li, T. (2022). Integrating public transit signal priority into max-pressure signal control: Methodology and simulation study on a downtown network. Transportation Research Part C: Emerging Technologies.
 
Li, T., Qi, G. J., & Stern, R. (2022). Taxi utilization rate maximization by dynamic demand prediction: A case study in the city of Chicago. Transportation Research Record.
 
Li, T., Shang, M., Wang, S., Filippelli, M., & Stern, R. (2022, October). Detecting stealthy cyberattacks on automated vehicles via generative adversarial networks. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE.
 
Li, T., & Stern, R. (2021, September). Classification of adaptive cruise control vehicle type based on car following trajectories. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE.
 
Li, T., Wu, X., Ban, X., & Wang, Y. (2020, May). “Centralized” Taxi Services in Big Metropolitan Areas: Evidenced by Chicago Data. In International Conference on Transportation and Development 2020.

Honors and Awards

  • Dwight David Eisenhower Transportation Fellowship (2021- 2024) – USDOT FHWA
  • Matthew J. Huber Award for Excellence in Transportation Research and Education – UMN CTS
  • 2022 ITS Minnesota Educational Scholarship - ITS Minnesota
  • Best Presentation Award - UMN Transportation Seminar
  • Hsiao Shaw-Lundquist Fellowship, UMN China Center
  • 2018 Mt. Rainier Scholarship

Professional Organizations and Associations

  • TRB: Transportation Research Board
  • ASCE: American Society of Civil Engineers
  • IEEE: Institute of Electrical and Electronics Engineers
  • ACM: Association for Computing Machinery