The Transport Systems & Logistics Lab focuses on the algorithms and models for the design, management and deployment of autonomous transport systems, in land, air and water. Our emphasis is on distributed control, optimising freight distribution and building resilience against disruptions.
Led by Dr Panagiotis Angeloudis, our team has expertise in transportation, optimisation, machine learning and robotics. We have strong links with our academic collaborators, industrial partners and policymakers.
Our work aims to advance the adoption of automation and increase the efficiency and sustainability of the transportation sector.
Our Research
Our research focuses on how transport systems can become more efficient, safe and resilient, through the three interlinked strands of autonomy, modelling and control for strategic and tactical decision making. The models we built incorporate the effects of operational uncertainty (future demand, operational disruptions, targetted attacks) in real-world operations.
We have sought solutions using optimisation, reinforcement learning, network modelling, and bespokely developed high performance agent based modelling tools.
Our Themes
Freight distribution models, last-mile logistics, and urban freight.
Safety and Integration of autonomous vehicles with civil infrastructure.
Determining optimal policies for distributed and robust control.
Development of in-house models for logic-intensive simulations.
Network resilience against natural disasers and targetted attacks.
Models and analysis of container and energy shipping networks.
Our Team
Our research team is driven by curiosity and zeal for technical challenges. We benefit from strong connections with other laboratories within the Imperial College community, external collaborators, and industry partners. Our alumni have gone on to achieve success in academia, secure influential roles in industry, or launch their own startups.
Join us: We are looking for motivated doctoral candidates to join our team, and contribute to the development of models and technologies for transport systems and logistics. Several sholarships are available for qualified applicants.