A study in the introduction of a new pickup and delivery technology, Autonomous Mobile Lockers, into an existing city logistics network.
This PhD research concentrates on the development of an ad hoc vehicular network architecture using the PC5 interface of the LTE standard.
This research aims to identify and evaluate new solutions for commercial urban deliveries to meet the demand of last-mile and surging e-commerce markets.
The aim of the project is to investigate the situation of Container Shipping Operational Risk upon the application of blockchain technology in the industry.
Research into a network-wide approach to identify critical links and estimate the Macroscopic Fundamental Diagram using flow and density measurements.
Development of demand management & estimation tools for large-scale traffic networks, incorporating macroscopic fundamental diagram-based traffic dynamics.
A PhD research project aiming to build a model/platform using real-time feeds of all mode movements from smart intersections to optimise signal control.
A research project exploring how traffic controls can be optimised to accommodate both legacy and autonomous vehicles, plus vulnerable road users.
A PhD research program investigating physical interactions between Connected and Automated Vehicles and Vulnerable Road Users in order to assess safety.
Addressing the critical need for new security schemes to be designed and implemented to protect our connected cars and transport systems.
This project investigates the standardisation of safety assurances that autonomous vehicles must satisfy, and how to verify these requirements.
Development of an algorithm to provide priority at traffic lights to public transport, also with potential to reduce stop time for private vehicles.