Transport Systems & Logistics Laboratory
Transport Systems & Logistics Laboratory Imperial College London

The Transport Systems & Logistics Laboratory at Imperial College London undertakes research in transport operations, with an emphasis on computational optimisation, autonomous technologies, and artificial intelligence.

Our research and algorithms enable transport operators to maximise operational efficiency and provide strategic resilience against systemic disruptions.

Our group is led by Prof Panagiotis Angeloudis, and is affiliated with the Imperial Robotics Forum, the Alan Turing Institute and the Institute for Security Science and Technology.

Our themes

Autonomous Vehicle Fleets
Autonomous Vehicle Fleets

Determining optimal policies for distributed and robust control.

Freight & Logistics
Freight & Logistics

Last-mile logistics, freight and maritime transport.

Agent-based Simulation
Agent-based Simulation

Scalable logic-driven models for mobility systems.

Publication highlights

IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving   (2025)  ·  Leandro Parada, Kevin Yu, Panagiotis Angeloudis  ·  IEEE Robotics and Automation Letters
Real-time Dispatching for Autonomous Vehicles in Open-pit Mining Deployments using Deep Reinforcement Learning   (2023)  ·  Kenta Matsui, Jose Escribano, Panagiotis Angeloudis  ·  2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning   (2023)  ·  Eduardo Candela, Olivier Doustaly, …, Yiannis Demiris, Panagiotis Angeloudis  ·  Artificial Intelligence
Vehicle Redistribution in Ride-Sourcing Markets Using Convex Minimum Cost Flows   (2022)  ·  Renos Karamanis, Eleftherios Anastasiadis, Marc Stettler, Panagiotis Angeloudis  ·  IEEE Transactions on Intelligent Transportation Systems
Optimal supply chain resilience with consideration of failure propagation and repair logistics   (2020)  ·  Nils Goldbeck, Panagiotis Angeloudis, Washington Ochieng  ·  Transportation Research Part E: Logistics and Transportation Review
Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models   (2019)  ·  Nils Goldbeck, Panagiotis Angeloudis, Washington Y. Ochieng  ·  Reliability Engineering & System Safety
Our team

Our team

Our team benefits from strong links with other labs within Imperial, external collaborators, and industry partners.

Our alumni have achieved success in academia, hold influential roles in industry, or launched their own startups.

Join us: We welcome applications from talented researchers. Sholarships are available for qualified applicants.

Our funders