Misbehaviour detection in C-ITS
This PhD project aims to propose a solution to identify and possibly prevent any type of early stage C-ITS misbehaviour in the network.
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.
Optimising multimodal transport networks: Sharing road space
This research will focus on enhanced depiction of pedestrian and active mode interactions with vehicular traffic across a variety of road infrastructure scenarios.
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.
MaaS and PT integration: Focus on vulnerable travellers
This PhD project will focus on smart adoption of MaaS with the purpose of providing vulnerable travellers with equitable mobility services.
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.
How safe are the perception capabilities of autonomous cars?
This project investigates the standardisation of safety assurances that autonomous vehicles must satisfy, and how to verify these requirements.