Transport Systems & Logistics Laboratory

Announcement, April 2023:

We are organising a Special Session on the Simulation & Verification of Autonomous Driving Technologies under the auspices of this year’s IEEE ITS Conference in Bilbao, Spain.

Submission Deadline: 22 May 2023

About us

Our focus lies in developing autonomous transport systems for freight distribution and passenger transportation across land, water, and air, with an emphasis on efficiency, operational resilience, and interactions with the built environment.

TSL is led by Dr Panagiotis Angeloudis, and comprises an interdisciplinary team of over 15 researchers with expertise in operations research, transportation engineering, robotics, and machine learning. We concentrate on practical, real-world applications while fostering strong collaborations with industry partners, government agencies, and consultancies.

Our dedication to advancing autonomous transport systems seeks to promote the adoption of cutting-edge technologies and enhance the efficiency and sustainability of the transportation sector in the years to come.

Research Areas

Autonomous Transport Systems
We develop the models and technologies that enhance the efficiency and safety of these systems. We address critical aspects like AV Safety, Perception, and Control. A big proportion of our ongoing work focuses on the area of collaborative control. We use simulations to enrich our understanding of the dynamics of these systems.
Autonomous Transport Systems
Logistics & Freight Transport
Our research in freight transport covers urban, humanitarian, maritime, and construction logistics. We focus on collaborative distribution planning and the effects of multi-stakeholder interaction and market competition. We examine the impact of automation on operational efficiency and economic performance.
Logistics & Freight Transport
Network Modelling & Optimisation
We develop advanced algorithms and models for applications in resilience modelling, large-scale infrastructure design and service deployment modelling. Our research leverages mathematical optimisation, game-theory and agent-based modelling.
Network Modelling & Optimisation


  • Transport Systems & Logistics Laboratory

    Dept. of Civil & Environmental Engineering
    Imperial College London

    Skempton Building
    London, SW7 2BU
  • Contact us