The Transport Systems and Logistics Laboratory studies the algorithms and technologies that improve the efficiency of modern transport systems.

About us

TSL is led by Dr Panagiotis Angeloudis and is part of the Centre for Transport Studies at the Department of Civil & Environmental Engineering at Imperial College London.

Our areas of interest include Networks, Logistics and Autonomy, which we study using mathematical optimisation, network analytics and artificial intelligence. We have a multidisciplinary team of researchers, and are always keen to recruit new members.

Research Areas

Networks

We study the structure of transport networks, and their vulnerability against disruptions.

Logistics

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

Autonomy

We develop algorithms for the design and control of autonomous vehicle fleets.

Recent Publications

Chen X, Yu j, Stettler M, Angeloudis P, Hu J (2020). Urban Network-Wide Traffic Speed Estimation with Massive Ride-Sourcing GPS Traces. Transportation Research Part C: Emerging Technologies.

Escribano J, Angeloudis P, Ochieng W (2020). Optimal Design of Rapid Evacuation Strategies in Constrained Urban Transport Networks. Transportmetrica A: Transport Science. PDF

Escribano J, Angeloudis P, Ochieng W (2020). Optimal Hub Selection for Rapid Medical Deliveries using Unmanned Aerial Vehicles. Transportation Research Part C: Emerging Technologies. DOI

Goldbeck N, Angeloudis P, Ochieng W (2020). Optimal supply chain resilience with consideration of failure propagation and repair logistics. Transportation Research Part E: Logistics and Transportation Review. DOI

Goldbeck N, Angeloudis P, Ochieng W (2020). Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models. Reliability Engineering and System Safety. DOI

Preprints

Karamanis R, Anastasiadis L, Angeloudis P, Stettler M Assignment and Pricing of Shared Rides in Ride-Sourcing using Combinatorial Double Auctions. Preprint. PDF

Escribano J, Goldbeck N, Hsu PY, Angeloudis P, Ochieng W Endogenous stochastic optimisation for relief distribution assisted with Unmanned Aerial Vehicles. Preprint. PDF

Recent Conferences

Anastasiadis L, Angeloudis P, Ainalis D, Ye Q, Hsu PY (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).

Jirouskova N, Majumdar A, Angeloudis P (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.

Bell MGH, Cheung K, Sugiura S, Angeloudis P, Pan J, Kurauchi F (2019). Analysis of the world container shipping network by spanning tree and gravity model. 9th International Conference on Logistics and Maritime Systems (LOGMS2019).

Director

Panagiotis
Angeloudis

Associate Professor

Researchers

Lefteris
Anastasiadis

Post-Doctoral Researcher

Network Mechanism Design

Eduardo
Candela

PhD Student

Autonomous Vehicles

Jose
Escribano-Macias

PhD Student

Humanitarian Logistics

Felix
Feng

Post-Doctoral Researcher

Connect & Autonomous Vehicles

Nils
Goldbeck

Visiting Research Associate

Infrastructure Resilience

Leo
Hsu

Post-Doctoral Researcher

Stochastic Programming

Nina
Jirouskova

PhD Student

Natural Disaster Resilience

Renos
Karamanis

PhD Student

Ride-sharing Operations

Yubin
Liu

PhD Student

Urban Logistics

Simon
Stebbins

Post-Doctoral Researcher

Connected and Autonomous Vehicles

Qiming
Ye

PhD Student

Urban Planning & Modelling

Hongmin
Zhu

PhD Student

Reliability Analysis

Visit this page for a full list of past and present members.