- Traffic Flow Theory and Modelling
- Intelligent Mobility Technologies
- Connected and Automated Vehicles (CAVs)
- +۵ مورد دیگر
Professor Zuduo Zheng is a faculty member at the University of Queensland, holding the position of Professor & Deputy TMR TAP Chair in the School of Civil Engineering. His research focuses on traffic flow theory, modeling, simulation, and optimization, particularly in the context of connected and automated vehicles (CAVs), traffic safety, and sustainable infrastructure systems for smart cities and major events like the 2032 Olympic and Paralympic Games. He earned his Doctor of Philosophy from Arizona State University and has served as a DECRA Research Fellow. Currently, he is a member of the Australian Research Council's College of Experts and ranks among the Top 2% of Scientists in Logistics and Transportation (Scopus & Stanford University). His work has led to prestigious awards and editorial roles in journals like Transportation Research Part B and IEEE Transactions on Intelligent Transportation Systems . Research interests include traffic flow dynamics, emerging mobility technologies, strategic transport planning, advanced data analysis techniques, and meta-research methodologies. His lab, the Connected and Automated Vehicle Driving Simulation Lab, utilizes cutting-edge tools like VR simulators and SUMO integration to explore mixed traffic scenarios and safety challenges. Key grants include projects on eco-driving strategies for CAVs, real-time traffic signal systems, and infrastructure design for future mobility. He has supervised numerous PhD and Master’s students, contributing to studies on CAV integration, traffic simulation, and policy analysis. His publications address topics such as road user charging theories, reinforcement learning for eco-driving, and paratransit system improvements. The lab’s facilities, including a mixed reality mobility testbed, support research into transitioning to CAVs and enhancing urban resilience.











