Zuduo Zheng

Professor Zuduo Zheng is TAP Chair (Deputy) sponsored by Queensland Department of Transport and Main Roads, and Professor in the School of Civil Engineering, a current ARC Future Fellow, and a former ARC DECRA Research Fellow. He is currently a member of the College of Experts, the Australian Research Council. His research primarily focuses on: 1. traffic flow theory, modelling, simulation and optimisation; 2. understanding emerging, disruptive, and intelligent mobility technologies' impact on traffic efficiency, traffic safety, energy consumption, vehicle emissions, etc.; 3. developing essential theories, the foundational algorithms and analytics that can seamlessly integrate future mobilities into the existing transportation systems; 4. establishing a new breed of control strategies tailored to maximise the power of the connected environment and vehicle automation; and 5. complex systems modeling and the design of adaptable, controllable, resilient, and sustainable infrastructure systems (intelligent transportation systems and smart city particularly in the context of the 2032 Olympic and Paralympic Games). He has been listed as the Top 2% of Scientists in Logistics and Transportation by Scopus & Stanford University since 2020. He has won many prestigious awards, and serves/served as editor, guest editor or editorial board member of several prestigious journals, including Transportation Research Part B, Transportation Research Part C, Analytic Methods in Accident Research, IEEE Transactions on Intelligent Transportation Systems, etc. More information about Professor Zheng's research activities and engagements can be found here. Traffic flow theories and operations, with a focus on emerging technologies; Travel behaviour, strategic transport planning and modeling, and decision making; Traffic operation and management for big events (e.g., Olympic and Paralympic Games); Traffic safety; Advanced data analysis techniques (e.g., mathematical modeling, econometrics, numerical optimization) in transport engineering; Research on research (or meta-research)

[2026] Car-following models in the era of AI and AV/CAV: recent developments, reflections and perspectives [2026] Mode choice shifts to electric micromobility for car and public transport users [2026] An Interactive survey to explore a driver’s decisions in connected and incentivised on-ramp merging [2026] Modeling car owners’ stated preferences for electric micro-mobility ownership: evidence from a mixed logit approach [2026] Extending car-following models to multi-lane traffic through Anticipation-Aware dynamic graph networks [2026] Integrating extreme value theory and the task-capability interface model to estimate crash risk with driver-specific heterogeneity in connected environment [2026] Estimating the safety impact of mandatory ABS legislation for motorised two-wheelers in India us