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Autonomous Vehicles for Urban Transit Optimisation

Primary supervisor

Mohammed Eunus Ali

Co-supervisors

Research area

Data Engineering

Public transportation is vital for sustainable urban mobility, yet challenges like inefficient first- and last-mile connectivity, and over-reliance on private cars hinder its effectiveness. Autonomous vehicles (AVs) offer transformative potential by enabling diverse, on-demand mobility solutions tailored to specific trip needs, enhancing connectivity, and reducing emissions. However, current research often overlooks the complexities of mixed-vehicle environments, and the development of optimal deployment, routing, and charging strategies. This project aims to address these gaps by optimising the integration of AVs into public transit systems to reduce congestion, and emissions while advancing sustainable urban mobility.


Learn more about minimum entry requirements.