This research focuses on multimodal transport network modelling, transport network optimisation, and land use and transport interaction modelling.
The utilisation of live data, sensor network, crowd sourcing and technology are the main foundation of this research.
We use complex network theory, machine learning, big data analysis and sophisticated mathematical modelling to analyse large multimodal transport networks from operation to management and planning. As part of this research theme we also study road transport network resiliency and vulnerability. The outcome would be tools for determining the most cost efficient schedule of preventative strengthening works for road networks for reducing the disruption and recovery costs after extreme events.