Over decades, traffic models and control strategies based on dis-aggregated traffic flow models, which track individual vehicle movements on a second or sub-second basis, have been proposed and applied for isolated intersections or coordinated intersections in urban cities. Most recently, macroscopic network traffic modelling which shifts to a network level aims at simplifying the complex task of urban network modelling where the collective traffic flow dynamics of sub-networks(regions) capture the key characteristics of traffic congestion propagation, such as the evolution of traffic states in different regions of the city. The macro approaches have been demonstrated by many as an innovative and efficient tool for monitoring and control in urban networks, at an entirely different layer. Dr. Nan Zheng believes deeply the rational and the academic potential of the macroscopic approach in traffic modeling and optimization. His research and development thus closely follow and promote this research direction, in particular with focus on multimodal traffic modelling and control, addressing both theoretical and empirical aspects.
Our current research are carried on from the following aspects:
Macroscopic modeling of multi-modal traffic dynamics
Network-level traffic flow and multi-modal optimization
Design and operation of new-generation transport systems
