Baher Abdulhai

Baher Abdulhai is a professor in the Department of Civil & Mineral Engineering at the University of Toronto. He holds the title of Director, iCITY-Centre for Automated and Transformative Transportation Systems. His research interests include intelligent transportation systems, advanced traffic management, and dynamic congestion pricing. He is affiliated with several university initiatives, including the Centre for Automated and Transformative Transportation Systems and the U of T Mobility Network. His work focuses on modeling and simulation for dynamic transportation networks and the application of emerging technologies to transportation systems.

Baher Abdulhai is a Professor at the University of Toronto specializing in Intelligent Transportation Systems (ITS), Traffic Control and Management, Evacuation Optimization, Congestion Pricing, and Adaptive systems. His research focuses on developing advanced methodologies for adaptive traffic signal control using reinforcement learning and multiagent systems, with applications in large-scale urban environments like downtown Toronto. He also explores the impact of automated and connected vehicles on traffic capacity, mobility, and safety. His work includes optimizing traffic flow prediction, incident detection, and emergency evacuation planning using genetic algorithms, Bayesian neural networks, and neurofuzzy models. Abdulhai's research emphasizes real-time optimization and data fusion techniques for improved traffic management and system performance.