The Transport Systems & Logistics Laboratory 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.
TSL is led by Professor Panagiotis Angeloudis. We have strong links with our wide network of academic collaborators, industrial partners and policymakers.
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 & 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 researchers benefit from the strong links of our group with other laboratories within the Imperial College community, external collaborators, and industry partners. Our alumni have achieved success in academia, secured influential roles in industry, or launched their own startups.
Join us: We are looking for talented researchers to join our team, and to contribute to the development of next generation of models and technologies for transport systems and logistics. Several sholarships are available for qualified applicants.
Our Funders
