AI-enabled transportation systems
Embedding transportation mechanisms and operational constraints into machine learning, reinforcement learning, and foundation models.
Zhejiang University · Intelligent Transportation
Xingmin Wang
ZJU100 Young Professor
College of Civil Engineering and Architecture
My research focuses on AI-enabled transportation systems, connected and automated transportation operations and control, and large-scale network modeling and simulation. I use artificial intelligence, operations research and control, and data science to connect theory and algorithms with real-world deployment.
Research
Research overview
Transportation data and simulation platforms
Connecting multi-source observations, traffic-state estimation, and reproducible digital experiments.
Field-deployed signal optimization
Reconstructing traffic conditions and retiming signals from sparse trajectories, deployed at more than 1,400 intersections.
Updates
Recent news
Joined Zhejiang University's Institute of Intelligent Transportation
Beginning a new chapter as a ZJU100 Young Professor.
Uncertainty quantification study published in TR Part C
Traffic-state estimation under low connected-vehicle penetration.
Early-return-to-green study published in TR Part C
Probe-vehicle data for diagnosing and improving coordinated actuated control.
Connected-vehicle signal optimization expanded in Oakland County
Large-scale deployment covered by U-M News and regional media.
Selected Work
Selected publications
Uncertainty Quantification for Traffic State Estimation at Signalized Intersections
Transportation Research Part C, 193, 105961 · Equal contribution
Inference of Signal Phase and Timing with Low Penetration Rate Vehicle Trajectories
Transportation Research Part C, 180, 105324
Traffic Light Optimization with Low Penetration Rate Vehicle Trajectory Data
Nature Communications, 15, 1306
Students
Join the group
For Fall 2027, the group plans to recruit one Ph.D. student and one master's student. Undergraduate researchers and research assistants are also welcome.