Secure Data Provenance in the Internet of Vehicles
This work will develop a novel secure data provenance scheme for the Internet of Vehicles, ensuring data security, originality, & confidence in decision-making.
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.
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.
Vehicular network architecture using the 5G standard
This PhD research concentrates on the development of an ad hoc vehicular network architecture using the PC5 interface of the LTE standard.
Optimising signal control in CAV and VRU mixed environments
A research project exploring how traffic controls can be optimised to accommodate both legacy and autonomous vehicles, plus vulnerable road users.
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.
Cyber security for connected vehicles and vehicular networks
Addressing the critical need for new security schemes to be designed and implemented to protect our connected cars and transport systems.
Green wave for high capacity public transport services
Development of an algorithm to provide priority at traffic lights to public transport, also with potential to reduce stop time for private vehicles.