Professor
University of Washington
Seattle, Washington, United States
Dr. Yinhai Wang is a professor in transportation engineering and the founding director of the Smart Transportation Applications and Research Laboratory (STAR Lab) at the University of Washington (UW). He serves as director for Pacific Northwest Transportation Consortium (PacTrans), USDOT University Transportation Center for Federal Region 10. Dr. Wang also serves as a chair of the AED50 Committee on Artificial Intelligence and Advanced Computing of the Transportation Research Board (TRB). He has a Ph.D. in transportation engineering from the University of Tokyo (1998) and a master’s degree in computer science from the UW. Dr. Wang’s active research fields include traffic sensing, e-science of transportation, transportation safety, etc. He has published over 100 peer reviewed journal articles and delivered more than 110 invited talks and nearly 200 other academic presentations.
Disclosure information not submitted.
Smart and Cooperative Truck Parking Information Management System
Tuesday, June 10, 2025
4:00 PM – 4:15 PM MT
AI & ML for Safety: Analyzing Connected Vehicle Data for Turning Movement Counts at Intersections
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Analyzing Multi-Modal Road User Behavior with Big Data: Insights for Intersection Safety
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Cooperative Perception-Based Vehicle Trajectory Prediction and Conflict Estimation
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Detecting Lateral Offset Distance on Rural Road in Thailand by Using Point Cloud Data : A Case Study
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Evaluating the Effectiveness of Star Ratings for Road Accident Severity in Thailand's Rural Roads
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Improving Nighttime Driving Safety: Machine Learning for Street Luminaire Detection and Localization
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Operational Effects of the Dynamic Reversible Contraflow Median U-Turn Intersection Design
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Zero-shot Learning based Cyclists Detection through Surveillance Systems
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT