Autonomous vehicles in highly crowded pedestrian environments
This PhD project will look at algorithms to estimate the position/intention of pedestrians essential for the safe interaction between CAVs and pedestrians.
Secure supervisory architecture for smart & autonomous vehicles
The focus of this PhD project is the security technologies that would enable authorities to govern, protect, and regulate SAVs access to the public road network.
Role of heterogeneity in active travellers’ injury severity analysis
This PhD research will develop and apply advanced econometric models in estimating injury severity models for active travellers.
Co-operative eco-driving system for mixed traffic on urban roads
The objective of this PhD study is to develop an eco-driving system for a mixed traffic consisting of CAVs and human-driven vehicles (HVs) on urban roads.
Modelling traffic disruption impact: Deep Learning & simulation
This PhD looks at prediction of traffic disruptions in cities using AI and synergising traffic simulation modelling to help traffic authorities respond.
VRU and CAV interactions
A PhD research program investigating physical interactions between Connected and Automated Vehicles and Vulnerable Road Users in order to assess safety.