We develop algorithms and models that improve
the efficiency of future transport systems.


The Transport Systems and Logistics Laboratory (TSL) at Imperial College London focuses on the study of networks, optimisation methods and multi-agent systems, as well as their applications in autonomous transport systems, urban infrastructure and logistics.

Our group consists of 14 researchers from a variety of disciplines, and is led by Dr Panagiotis Angeloudis.

We are hiring: Postdoc in Autonomous Vehicle Operations

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Research Areas

autonomous-car

Autonomy

We develop models that control and improve the safety of autonomous vehicle fleets.

network

Networks

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

delivery-truck

Logistics

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

Recent Publications

(2020). Urban Network-Wide Traffic Speed Estimation with Massive Ride-Sourcing GPS Traces. Transportation Research Part C: Emerging Technologies.
(2020). Design of hospital delivery networks using unmanned aerial vehicles. Transportation Research Record.
(2020). Endogenous stochastic optimisation for relief distribution assisted with Unmanned Aerial Vehicles. OR Spectrum.
(2020). Optimal Design of Rapid Evacuation Strategies in Constrained Urban Transport Networks. Transportmetrica A: Transport Science. PDF
(2020). Optimal Hub Selection for Rapid Medical Deliveries using Unmanned Aerial Vehicles. Transportation Research Part C: Emerging Technologies. DOI

Preprints

Assignment and Pricing of Shared Rides in Ride-Sourcing using Combinatorial Double Auctions. Preprint.
On the selection of charging facility locations for EV-based ride-hailing services: A computational case study. Preprint.

Recent Conferences

(2019). A bilevel optimisation model for the selection of parking and charging facilities for EV-based ride-hailing services. 8th Symposium of the European Association for Research in Transportation (hEART 2019).
(2019). A top-down integrated approach to define key vulnerability indices for disaster risk management at container terminals. 2nd International Conference on Natural Hazards and Infrastructure.
(2019). Analysis of the world container shipping network by spanning tree and gravity model. 9th International Conference on Logistics and Maritime Systems (LOGMS2019).
Visit this page for a full list of past and present members.

Director

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Panagiotis Angeloudis

Reader & Group Leader

Team

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Carl Khalife

Research Assistant

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Eduardo Candela

PhD Student

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Felix Feng

Post-Doctoral Researcher

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He-in Cheong

Research Assistant

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Hongmin Zhu

PhD Student

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Leandro Parada

PhD Student

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Lefteris Anastasiadis

Post-Doctoral Researcher

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Leo Hsu

Post-Doctoral Researcher

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Nils Goldbeck

Visiting Research Associate

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Nina Jirouskova

PhD Student

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Qiming Ye

PhD Student

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Renos Karamanis

PhD Student

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Yubin Liu

PhD Student

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