Transport Systems & Logistics Laboratory

We develop algorithms and models that improve the efficiency of urban infrastructure networks, supply chains and autonomous transport systems.

Meet the team →

Transport Systems &
Logistics Laboratory

Research Areas

Autonomy

We develop models that improve the efficiency and safety of autonomous transport systems.

Networks

We develop algorithms for the design, control and protection of urban infrastructure

Logistics

We specialise in the analysis of urban, humanitarian and maritime freight transport.

Selected Projects

Recent Publications

Qingyun Liu, Simon Hu, Panagiotis Angeloudis, Yibing Wang, Lihui Zhang, Qiang Yang, Yongfu Li (2021). Dynamic wireless power transfer system for electric-powered connected and autonomous vehicle on urban road network. IET Intelligent Transport Systems.

Lefteris Anastasiadis, Panagiotis Angeloudis, Daniel Ainalis, Qiming Ye, Pei-Yuan Hsu, Renos Karamanis, Jose Escribano-Macias, Stettler M (2021). On the Selection of Charging Facility Locations for EV-Based Ride-Hailing Services: A Computational Case Study. Sustainability.

Renos Karamanis, Lefteris Anastasiadis, Stettler M, Panagiotis Angeloudis (2021). Vehicle Redistribution in Ride-Sourcing Markets Using Convex Minimum Cost Flows. IEEE Transactions on Intelligent Transportation Systems.

Jose Escribano-Macias, Panagiotis Angeloudis, Ochieng W (2020). Optimal Design of Rapid Evacuation Strategies in Constrained Urban Transport Networks. Transportmetrica A: Transport Science.

Renos Karamanis, Lefteris Anastasiadis, Panagiotis Angeloudis, Stettler M (2020). Assignment and pricing of shared rides in ride-sourcing using combinatorial double auctions. IEEE Transactions on Intelligent Transportation Systems.

Recent Preprints

Renos Karamanis, He-in Cheong, Simon Hu, Stettler M, Panagiotis Angeloudis Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing. Preprint.

Recent Conferences

Qiming Ye, Felix Feng, Jing Han, Stettler M, Panagiotis Angeloudis (2021). A Reinforcement Learning-based Adaptive Control Model for Future Street Planning: An Algorithm and A Case Study. 2021 57th ISOCARP World Planning Congress.

Yubin Liu, Qiming Ye, Felix Feng, Jose Escribano-Macias, Panagiotis Angeloudis (2021). Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm. Transportation Research Board 101st Annual Meeting (TRBAM 2022).

Yubin Liu, Qiming Ye, Felix Feng, Jose Escribano-Macias, Panagiotis Angeloudis (2021). Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm . Transportation Research Board 101st Annual Meeting (TRBAM 2022).

Contact us

Transport Systems & Logistics Laboratory
Imperial College London
Department of Civil & Environmnetal Engineering
Room 337, Skempton Building
London, SW7 2BU
Email us
@tsl_imperial