Computational research on transport, autonomy and logistics.

The Transport Systems & Logistics Laboratory at Imperial College London undertakes research in transport operations, with a focus on computational optimisation, autonomy and logistics. The lab is led by Prof. Panagiotis Angeloudis and is affiliated with the Imperial Robotics Forum, the Alan Turing Institute, and the Institute for Security Science and Technology.

Research areas

All projects →
A.01 — Optimisation

Computational optimisation

Mathematical programming, metaheuristics and reinforcement learning for routing, scheduling and resource allocation in transport networks.

14 active projectsA.01 →
A.02 — Autonomy

Autonomous systems

Decision-making, motion planning and multi-agent coordination for autonomous vehicles, ships and warehouse robots operating in shared infrastructure.

9 active projectsA.02 →
A.03 — Logistics

Maritime & freight logistics

Port operations, container terminals, fleet management and global supply-chain resilience under disruption and emerging propulsion regimes.

11 active projectsA.03 →

Recent publications

All publications →
2026
Stochastic dispatch policies for autonomous vehicle fleets under demand uncertainty
Cheong H., Angeloudis P., Tsetkovsky Y. Transportation Research Part B.
2026
Adaptive berth allocation under disruption: a reinforcement-learning approach
Ainalis D., Adan F., Angeloudis P. European Journal of Operational Research.
2025
Multi-modal sensing and robust localisation for inland-waterway autonomous vessels
Zhong H., Newatia A., Angeloudis P. IEEE Transactions on Intelligent Transportation Systems.
2025
Hardware-aware policy distillation for embedded transport optimisation
Rao A., Yang A., Angeloudis P. IEEE ICRA.
2025
Equilibrium routing in mixed human–AV traffic: a global optimisation perspective
Candela E., Anvari B., Angeloudis P. Transportation Science.

Members

Full team →
Panagiotis Angeloudis
Director · Reader
Optimisation, autonomy, maritime ops.
Hantao Zhong
PhD Candidate
Multimodal sensing for inland waterways.
Eduardo Candela
PhD Candidate
RL in mixed-autonomy traffic.
Dimitri Ainalis
Senior Researcher
Maritime and port operations.
28 April 2026

TSL paper accepted at Transportation Research Part B

"Stochastic dispatch policies for autonomous vehicle fleets" by Cheong, Angeloudis & Tsetkovsky.

10 April 2026

Lab joins Alan Turing Institute autonomy programme

Three-year affiliation expanding our work on safe RL for transport infrastructure.

21 March 2026

Open call: 2 PhD studentships, 2026–27 cohort

Funded positions in autonomous shipping and port-operations optimisation. Applications close 30 June.

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The lab studies the operations of transport networks under uncertainty: optimisation methods, autonomous decision-making, and large-scale logistics simulations. We work with port authorities, shipping operators, and infrastructure agencies.

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The lab is currently recruiting two PhD students for 2026/27.
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A.01 / Optimisation tabular-nums on 147 papers 2026.04

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