Rate My Professor Nan Zheng

Nan Zheng's research interests encompass traffic flow operation and control, planning and operation for autonomous vehicles, transport big data, mobility applications in smart cities, modelling and optimization of complex systems, intelligent and automated transport systems, AI- and data-driven analytics for transport systems, and digital-twin and virtual-reality enabled solutions. He leads research themes on Mobility Digital Twin and Smart Manufacturing Precinct at Monash University, partnering with the Department of Transport and Planning Victoria, Australasian Road Research Board, and industry collaborators such as PTV AG, Aurecon, Safe System Solutions, and Clarity Consulting. As an internationally recognized expert, he serves as Associate Editor for IEEE Transactions on Intelligent Vehicles, Transportmetrica B: Transport Dynamics, and Journal of Intelligent and Connected Vehicles, and as an editorial board member for Transportation Research Part C: Emerging Technologies. He also assesses grants for the Australian Research Council, Chinese NSF, and Marie Curie Postdoctoral Awards. His publications, primarily in Transportation Research series (Parts A, B, C) and IEEE Transactions on Intelligent Transportation Systems, have garnered over 4,000 citations on Google Scholar. Notable recent works include “Multi-perspective evaluation of human factors in advanced low-altitude transportation adoption: a virtual reality simulation study” (2026), “Analyzing Riders’ Behavioral Adaptation to Driving Patterns of Advanced Autonomous Vehicles” (2025), and “A novel hierarchical perimeter control method for road networks considering boundary congestion in a mixed CAV and HV traffic environment” (2025).