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.

Director

Panagiotis
Angeloudis

Associate Professor

Researchers

Lefteris
Anastasiadis

Post-Doctoral Researcher

Network Mechanism Design

Jose
Escribano-Macias

PhD Student

Humanitarian Logistics

Nils
Goldbeck

PhD Student

Infrastructure Resilience

Timothy
Haughton

PhD Student

Construction Logistics

Leo
Hsu

Post-Doctoral Researcher

Stochastic Programming

Nina
Jirouskova

PhD Student

Natural Disaster Resilience

Renos
Karamanis

PhD Student

Ride-sharing Operations

Qiming
Ye

PhD Student

Urban Planning & Modelling

Hongmin
Zhu

PhD Student

Reliability Analysis

For a full list of our alumni, visitors and affiliates, visit our people page.

Recent Publications

Achurra-Gonzalez P, Angeloudis P, Goldbeck N, Graham DJ, Zavitsas K, Stettler M, Bowman G, Bell MGH (2019). Evaluation of port disruption impacts in the global liner shipping network. Journal of Shipping and Trade.

Goldbeck N, Angeloudis P, Ochieng W (2019). Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models. Reliability Engineering and System Safety. DOI

Hsu PY, Angeloudis P, Aurisicchio M (2019). Risk-averse supply chain for modular construction projects. Automation in Construction. DOI

Achurra-Gonzalez P, Novatti M, Foulser-Piggott R, Graham DJ, Bowman G, Bell MGH, Angeloudis P (2018). Modelling the impact of liner shipping network perturbations on container cargo routing: South-east Asia to Europe application. Accident Analysis and Prevention. DOI

Hsu PY, Angeloudis P, Aurisicchio M (2018). Optimal logistics planning for modular construction using two-stage stochastic programming. Automation in Construction. DOI

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 KM, Sugiura S, Angeloudis P, Pan JJ, 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).