Dynamical Models of Route Choice and Signal Control

Topic: Dynamical Models of Route Choice and Signal Control

Speaker: Ronghui Liu

Time: April 9，2019 10:00-12:00

Location: No. 25 teaching building, 3th floor, C classroom

Dynamic transport models involving travellers’ choices (including repeated route choices) and traffic signal controls have been developed to: (a) predict (for a given responsive control strategy) how traffic flows and controls are likely to evolve over time and so to help assess the performance of different given control strategies; and (b) design new control strategies for reducing congestion and traffic pollution (or other criteria) in cities, taking reasonable account of future evolution of traffic flows as these respond to the control strategies.

In this talk, we introduce a dynamical system involving interactions between a responsive traffic control system (where the system updates signal timings in the light of current average flows and delays) and drivers’ route choice decisions (which are assumed to switch routes toward better routes, in light of current average delays). We consider the stability of the dynamical system theoretically and explore the system in a simulated real-life environment.

Speaker

Prof Ronghui Liu, Professor of Networks and Transport Operations, at the Institute for Transport Studies (ITS), University of Leeds, UK. She received her BSc from Peking University and PhD from Cambridge University. Before joining ITS Leeds, she was a Research Fellow at University College London, and while at ITS, she was seconded to head the Transport Modelling Division at TRL, UK in 2005. She served as an Associate Editor for journal IEEE Transaction on Intelligent Transportation Systems, and Member of Editorial Board of IET Journal of Intelligent Transport. Her research areas span a number of themes in the field of transport studies: in vehicle dynamics and traffic microsimulaton model developments; in traffic control theory and algorithms; in travel behaviour and Intelligent mobility; in stochastic models and reliability analysis; in public transport operations and controls; in timetabling and schedule coordination; and in train control and railway traffic management systems. She is particularly interested in the interrelationships between these themes, and methodologies for estimation, design and evaluation of their network-wide effects.