Speaker: Dr. Andy Chow
Date: 23rd December 2015
Time: 2:00 p.m. - 3:00 p.m.
Venue: FJ302, Hong Kong Polytechnic University
In this talk, we will be looking at modelling and management of urban traffic with consideration of interaction between public transport (buses) and surrounding traffic in an integrated multi-modal system. Traffic dynamics is represented by a macroscopic simulation framework based on the variational formulation of kinematic wave model. The modelling platform can capture shockwaves, dispersion of vehicle platoons, and impact of slow moving vehicles. Various dwell time control strategies are also implemented on this multi-modal modelling platform and their performance on regulating bus services are investigated. The simulation package is run over a range of numerical experiments, and applied to real world scenarios with data collected from Central London, UK. The results suggest that the model is able to produce reasonable estimates of traffic flows, journey times, and bus service performances. This study opens new research direction in multi-modal traffic modelling and management.
Date: 23rd December 2015
Time: 2:00 p.m. - 3:00 p.m.
Venue: FJ302, Hong Kong Polytechnic University
In this talk, we will be looking at modelling and management of urban traffic with consideration of interaction between public transport (buses) and surrounding traffic in an integrated multi-modal system. Traffic dynamics is represented by a macroscopic simulation framework based on the variational formulation of kinematic wave model. The modelling platform can capture shockwaves, dispersion of vehicle platoons, and impact of slow moving vehicles. Various dwell time control strategies are also implemented on this multi-modal modelling platform and their performance on regulating bus services are investigated. The simulation package is run over a range of numerical experiments, and applied to real world scenarios with data collected from Central London, UK. The results suggest that the model is able to produce reasonable estimates of traffic flows, journey times, and bus service performances. This study opens new research direction in multi-modal traffic modelling and management.
