Panagiotis Angeloudis

Panagiotis Angeloudis

Reader in Transport
Systems & Logistics,
Group Leader

Imperial College London

Dr Panagiotis Angeloudis is Reader and Head of the Transport Systems and Logistics Laboratory (TSL), based in the Centre for Transport Studies (CTS) at Imperial College London.

His research focuses on the intersection of autonomous systems, multi-agent modelling and network optimisation and their applications to freight distribution and passenger transportation. His research group specialises in developing high-performance, scalable models that capture the interactions between users, providers, infrastructure and operating regimes. Recent TSL projects have focused on the design of deployment strategies for safe and efficient autonomous transport systems (AVs, drones) for passenger and freight mobility.

Panagiotis was recently appointed by the UK Department for Transport to the Expert Panel for Maritime 2050 and has been a member of the Future of Mobility review team for the UK Government Office of Science. Over the years, he has advised and developed bespoke models for major corporations, government agencies and consultancies worldwide on initiatives related to transport infrastructure, operations management and technology deployment.

At Imperial, he leads a team of over 15 researchers. He has a broad portfolio of funded research projects, with significant support from EPSRC, InnovateUK, the UK and foreign governments, and the industry. He is a member of the management committee for the Imperial Robotics Forum, Director of Teaching for the Transport Section, and transport champion for the Institute for Security Science and Technology.

He is an Associate Editor of the Journal of Maritime Policy and Management and a member of the United States Transportation Research Board Committee on Ports and Channels.

Interests
  • Agent-Based Modelling
  • Autonomous Systems
  • Network Optimization
Education

  • PhD in Transportation, 2009

    Imperial College London

  • MEng in Civil & Environmental Engineering, 2009

    Imperial College London

Journal Papers

  1. (2023). Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. Cite DOI
  2. (2023). Dual-branch Spatio-Temporal Graph Neural Networks for Pedestrian Trajectory Prediction. Pattern Recognition. Cite
  3. (2023). Policy and Strategy Evaluation of Ridesharing Autonomous Vehicle Operation: A London Case Study. Transportation Research Record. Cite DOI
  4. (2023). Risk-aware Controller for Autonomous Vehicles using Model-based Collision Prediction and Reinforcement Learning. Artificial Intelligence. Cite
  5. (2023). Understanding common human driving semantics for autonomous vehicles. Patterns. PDF Cite DOI
  6. (2022). Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem. Transportation Research Record. Cite DOI
  7. (2022). Monocular Visual Traffic Surveillance: A Review. IEEE Transactions on Intelligent Transportation Systems. Cite DOI
  8. (2022). Spatial-Temporal Flows-Adaptive Street Layout Control Using Reinforcement Learning. Sustainability. Cite DOI
  9. (2022). ST CrossingPose: A Spatial-Temporal Graph Convolutional Network for Skeleton-Based Pedestrian Crossing Intention Prediction. IEEE Transactions on Intelligent Transportation Systems. Cite DOI
  10. (2021). Dynamic wireless power transfer system for electric-powered connected and autonomous vehicle on urban road network. IET Intelligent Transport Systems. Cite DOI
  11. (2021). On the Selection of Charging Facility Locations for EV-Based Ride-Hailing Services: A Computational Case Study. Sustainability. Cite
  12. (2021). Vehicle Redistribution in Ride-Sourcing Markets Using Convex Minimum Cost Flows. IEEE Transactions on Intelligent Transportation Systems. Cite DOI
  13. (2020). A research agenda on systems approaches to infrastructure. Civil Engineering and Environmental Systems. Cite DOI
  14. (2020). Assignment and pricing of shared rides in ride-sourcing using combinatorial double auctions. IEEE Transactions on Intelligent Transportation Systems. Cite DOI
  15. (2020). Design of hospital delivery networks using unmanned aerial vehicles. Transportation Research Record. Cite
  16. (2020). Dynamic modelling and optimisation of transportation systems in the connected era. Transportmetrica B: Transport Dynamics. PDF Cite DOI
  17. (2020). Endogenous stochastic optimisation for relief distribution assisted with Unmanned Aerial Vehicles. OR Spectrum. Cite
  18. (2020). Optimal Design of Rapid Evacuation Strategies in Constrained Urban Transport Networks. Transportmetrica A: Transport Science. Cite
  19. (2020). Optimal Hub Selection for Rapid Medical Deliveries using Unmanned Aerial Vehicles. Transportation Research Part C: Emerging Technologies. Cite DOI
  20. (2020). Optimal supply chain resilience with consideration of failure propagation and repair logistics. Transportation Research Part E: Logistics and Transportation Review. Cite DOI
  21. (2020). Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models. Reliability Engineering and System Safety. Cite DOI
  22. (2020). Understanding and Visualising Schedule Deviations in Construction Projects using Fault Tree Analysis. Engineering, Construction and Architectural Management. Cite
  23. (2020). Urban Network-Wide Traffic Speed Estimation with Massive Ride-Sourcing GPS Traces. Transportation Research Part C: Emerging Technologies. Cite
  24. (2019). Evaluation of port disruption impacts in the global liner shipping network. Journal of Shipping and Trade. Cite DOI
  25. (2019). Risk-averse supply chain for modular construction projects. Automation in Construction. Cite DOI
  26. (2018). Modelling the impact of liner shipping network perturbations on container cargo routing: South-east Asia to Europe application. Accident Analysis and Prevention. Cite DOI
  27. (2018). Optimal logistics planning for modular construction using two-stage stochastic programming. Automation in Construction. Cite DOI
  28. (2017). Agent-based day-to-day traffic network model with information percolation. Transportmetrica A: Transport Science. Cite DOI
  29. (2017). Global LNG trade: A comprehensive up to date analysis. Maritime Economics and Logistics. Cite DOI
  30. (2017). Sustainable Smart Cities: Applying Complexity Science to Achieve Urban Sustainability. UNU-IAS Policy Brief series. PDF Cite
  31. (2016). A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of pre-cast construction. Automation in Construction. Cite DOI
  32. (2016). Calibration and validation of a shared space model: Case Study. Transportation Research Record. Cite DOI
  33. (2016). Payback period for emissions abatement alternatives: Role of regulation and fuel prices. Transportation Research Record. Cite DOI
  34. (2016). Scheduling co-operating stacking cranes with predetermined container sequences. Discrete Applied Mathematics. Cite DOI
  35. (2016). Spot sale of uncommitted LNG from Middle East: Japan or the UK?. Energy Policy. Cite DOI
  36. (2016). Strategic maritime container service design in oligopolistic markets. Transportation Research Part B: Methodological. Cite DOI
  37. (2015). Environmental Balance of Shipping Emissions Reduction Strategies. Transportation Research Record: Journal of the Transportation Research Board. Cite DOI
  38. (2014). A strategic repositioning algorithm for bicycle-sharing schemes. Transportmetrica A: Transport Science. Cite DOI
  39. (2014). Evaluation of cold ironing and speed reduction policies to reduce ship emissions near and at ports. Maritime Economics and Logistics. Cite DOI
  40. (2013). A cost-based maritime container assignment model. Transportation Research Part B: Methodological. Cite DOI
  41. (2011). A frequency-based maritime container assignment model. Transportation Research Part B: Methodological. Cite DOI
  42. (2011). A review of container terminal simulation models. Maritime Policy and Management. Cite DOI
  43. (2010). An uncertainty-aware AGV assignment algorithm for automated container terminals. Transportation Research Part E: Logistics and Transportation Review. Cite DOI
  44. (2006). Large subway systems as complex networks. Physica A: Statistical Mechanics and its Applications. Cite DOI

Preprints

  1. Kernelized Support-Vector-Machine-Based Congestion-Game Model for Coordinated Delivery Service Selection Using Mobile Parcel Lockers and Delivery Robots. In review. Preprint. Cite
  2. A Federated Learning-Based Framework for Ride-sourcing Traffic Demand Prediction. In review. Preprint. Cite
  3. Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning. In review. Preprint. Cite
  4. An integrated vertiport placement model considering vehicle sizing and queuing: A London Case Study. In review. Preprint. Cite
  5. Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm. arXiv, In review. Preprint. PDF Cite DOI
  6. Risk-Aware Stochastic Vehicle Trajectory Prediction with Spatial-Temporal Interaction Modelling. In review. Preprint. Cite
  7. Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Reinforcement Learning. In review. Preprint. Cite
  8. Quantitative Risk Indices for Autonomous Vehicle Training Systems. arXiv. Preprint. PDF Cite DOI
  9. Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing. arXiv. Preprint. PDF Cite DOI

Conference Papers

  1. (2023). Customer Behaviour Analysis for Coordinated Delivery Service Using Mobile Parcel Lockers and Autonomous Robots: A Congestion-Game Model. Transportation Research Board 102nd Annual Meeting (TRBAM 2023). Cite
  2. (2023). Last-mile Collaboration: A Decentralized Mechanism with Bounded Performance Guarantees and Implementation Strategies. Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). Cite
  3. (2023). Last-mile Collaboration: A Decentralized Mechanism with Bounded Performance Guarantees and Implementation Strategies. Proceedings of the 2023 Conference of the INFORMS Transportation and Logistics Society (TSL 2023). Cite
  4. (2023). Policy and Strategy Evaluation of Ridesharing Autonomous Vehicle Operation: A London Case Study. Transportation Research Board 102nd Annual Meeting (TRBAM 2023). Cite
  5. (2022). Approximate Optimum Curbside Utilisation for Pick-Up and Drop-Off (PUDO) and Parking Demands Using Reinforcement Learning. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022). Cite
  6. (2022). Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm. Transportation Research Board 101st Annual Meeting (TRBAM 2022). Cite
  7. (2022). Novel Trajectory Prediction Algorithm Using a Full Dataset: Comparison and Ablation Studies. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022). Cite
  8. (2022). Novel Trajectory Prediction Algorithm Using a Full Dataset: Comparison and Ablation Studies. 2022 7th International Choice Modelling Conference (ICMC 2022). Cite
  9. (2022). An integrated vertiport placement model considering vehicle sizing and queuing. Transportation Research Board 101st Annual Meeting (TRBAM 2022). Cite
  10. (2022). Feasibility of Equity-driven Taxi Pricing Strategy based on Double Auction Mechanism in Bangkok Metropolitan Region, Thailand. Transportation Research Board 101st Annual Meeting (TRBAM 2022). Cite
  11. (2022). Integrated Path Planning and Task Assignment Model for On-Demand Last-Mile UAV-Based Delivery. International Conference on Computational Logistics (ICCL 2022). Cite
  12. (2022). The Competition and Inefficiency in Urban Road Last-Mile Delivery. Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022). Cite
  13. (2022). Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). PDF Cite DOI
  14. (2021). A Reinforcement Learning-based Adaptive Control Model for Future Street Planning: An Algorithm and A Case Study. 2021 57th ISOCARP World Planning Congress (ISOCARP 2021). Cite DOI
  15. (2021). Fast Collision Prediction for Autonomous Vehicles using a Stochastic Dynamics Model. 2021 IEEE 24th International Conference on Intelligent Transportation Systems (ITSC 2021). Cite
  16. (2021). A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem. Transportation Research Board 101st Annual Meeting (TRBAM 2022). Cite
  17. (2021). A Domain Adaptation Framework for Short-term Traffic Prediction. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC 2021). Cite DOI
  18. (2021). Demand modelling and optimal vertiport placement for airport-purposed eVTOL services. Transportation Research Board 101st Annual Meeting (TRBAM 2022). Cite
  19. (2020). Intelligent Management of On-street Parking Provision for the Autonomous Vehicles Era. 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC 2020). Cite DOI
  20. (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). Cite
  21. (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. Cite
  22. (2019). Analysis of the world container shipping network by spanning tree and gravity model. 9th International Conference on Logistics and Maritime Systems (LOGMS 2019). Cite
  23. (2019). Optimal Planning for the Logistic System of Modular Construction through Multi-Stage Stochastic Programming. The 11th International Conference on City Logistics (CITY LOGISTICS 2019). Cite
  24. (2019). Sequential Trajectory Optimisation Using Dynamic Airspace Sectorisation. Transportation Research Board 98th Annual Meeting (TRBAM 2019). PDF Cite
  25. (2019). Simulation and Evaluation of CAVs Behavior in an Isolated Signalized Intersection Equipped with Dynamic Wireless Power Transfer System. 22nd International Conference on Intelligent Transportation Systems (ITSC 2019). Cite
  26. (2018). A flow-based resilience assessment method for interdependent urban infrastructure networks. International Conference on Infrastructure Resilience. Cite
  27. (2018). Analysing the effects of interdependency on the resilience of urban transport systems, A dynamic network flow approach. 7th International Symposium on Transport Network Reliability. Cite
  28. (2018). Dynamic Pricing in One-Sided Autonomous Ride-Sourcing Markets. 21st International Conference on Intelligent Transportation Systems (ITSC 2018). Cite DOI
  29. (2018). Integrated Trajectory-Location-Routing for Rapid Humanitarian Deliveries using Unmanned Aerial Vehicles. 2018 Aviation Technology, Integration, and Operations Conference. Cite DOI
  30. (2018). Market dynamics between public transport and competitive ride-sourcing providers. hEART 2018 - 7th Symposium of the European Association for Research in Transportation. Cite
  31. (2018). Probabilistic assessment of container shipping route disruption costs from natural disasters - An application to the KIX Australia-New Zealand Service Line. 7th International Symposium on Transport Network Reliability. Cite
  32. (2018). Ultra-Capacitor based kinetic energy recovery system for heavy goods vehicles. 15th International Symposium on Heavy Vehicle Transport Technology. PDF Cite
  33. (2017). A dynamic network flow model for interdependent infrastructure and supply chain networks with uncertain asset operability. Lecture Notes in Computer Science. Cite DOI
  34. (2017). A Fleet Sizing Algorithm for Autonomous Car Sharing. Transportation Research Board 96th Annual Meeting. PDF Cite
  35. (2017). Establishing outsourcing and supply chain plans for prefabricated construction projects under uncertain productivity. 8th International Conference in Computational Logistics. Cite DOI
  36. (2017). Integrated Trajectory Optimisation and Location‐Routing Method for Rapid Medical Deliveries using Unmanned Aerial Vehicles (UAVs). International Conference on Dynamics of Disasters. Cite
  37. (2017). Investigating Schedule Deviation in Construction Projects through Root Cause Analysis. International Conference on Project Management. Cite DOI
  38. (2017). Modelling the Dynamics of Asset Operability and Network Flows in Interdependent Infrastructure Systems after Disruptive Events. International Conference on Dynamics of Disasters. Cite
  39. (2017). Modelling the impact of infrastructure developments on the resilience of intermodal container transport networks: One-Belt-One-Road Case study. Logistics and Maritime Systems Conference (LOGMS). Cite
  40. (2017). Rapid Urban Evacuation across Constrained Transport Networks. Transportation Research Board 96th Annual Meeting. PDF Cite
  41. (2017). Realisation of the optimal logistics plan for modular construction. European Logistics Association Workshop 2017. Cite
  42. (2017). Supply chain design for modular construction projects. LC3 2017 - 25th Annual Conference of the International Group for Lean Construction. Cite DOI
  43. (2016). Analysing the resilience of metro systems under consideration of interdependencies. 4th World Conference on Transport Research (WCTR). Cite
  44. (2016). Analysing World Events Using the GDELT dataset and Google BigQuery. *UK Research Software Engineering Conference *. Cite
  45. (2016). Assessing Autonomous Vehicle Impact on Urban Traffic Emissions and Intersection Performance. Transportation Research Board 95th Annual Meeting. PDF Cite
  46. (2016). Attacker-defender modelling of transport vulnerability in maritime logistics corridors. 2nd International Workshop on Maritime Flows and Networks. Cite
  47. (2016). Equipment Sizing using Petri Networks. Annual Meeting of the Global Ports Research Alliance (GPRA). Cite
  48. (2016). Joint Vulnerability Analysis of Urban Rail Transit and Utility Networks. Transportation Research Board 95th Annual Meeting. PDF Cite
  49. (2016). Regional conflicts and impact of liner shipping. Annual Meeting of the Global Ports Research Alliance (GPRA). Cite
  50. (2016). Resilience of Liner Shipping Networks. GPRA. Cite
  51. (2015). Analysis of cascading failures across interdependent dynamic networks. EURO. Cite
  52. (2015). Modelling the Effects of Port Disruptions: Assessment of Disaster Impacts Using a Cost-Based Container Flow Assignment in Liner Shipping Networks. Transportation Research Board 94th Annual Meeting. PDF Cite
  53. (2015). Strategic maritime container transport design in oligopolistic markets. 21st International Symposium on Transportation and Traffic Theory. Cite DOI
  54. (2014). Analysis of Prefabricated Urban Housing Constructions on Freight Transport Systems. INFORMS. Cite
  55. (2014). Effects of Speed Reduction Policies near Ports. Transportation Research Board 93rd Annual Meeting. PDF Cite
  56. (2014). Long-range collision avoidance for shared space simulation based on social forces. Conference in Pedestrian and Evacuation Dynamics 2014 (PED2014). Cite DOI
  57. (2013). A Systematic Evaluation of Alternative Options for the Reduction of Vessel Emissions in Ports. Transportation Research Board 92nd Annual Meeting. PDF Cite
  58. (2013). Minimization of energy consumption within a container terminal. EURO. Cite
  59. (2013). Strategic network design in an oligopolistic market for maritime container transport. EURO. Cite
  60. (2012). Repositioning in Bicycle-Sharing Schemes. Transportation Research Board 91st Annual Meeting. PDF Cite
  61. (2011). Frequency-Based Maritime Container Assignment Model for Global Liner Services. Transportation Research Board 91st Annual Meeting. PDF Cite
  62. (2011). Repositioning algorithms for the global containership assignment network. 19th IFORS Triennial Conference. Cite
  63. (2011). Stochastic and deterministic assignment under uncertainty for automated container terminals. 19th IFORS Triennial Conference. Cite
  64. (2011). Towards a repositioning algorithms for bike sharing schemes. University Transport Studies Group (UTSG). PDF Cite
  65. (2010). Future for the Automation of Container Terminals. Logistics and Maritime Systems Conference (LOGMS). Cite
  66. (2010). Modelling and solution approaches to the multi-load AGV dispatching problem in seaport container Terminals. IAME. Cite
  67. (2010). Stack Operation Uncertainty in Automated Container Terminals - Effects, Challenges and Control Techniques. IAME. Cite
  68. (2009). A fresh look at container terminal simulation and its application in academic research. IAME. Cite
  69. (2009). The Future of Automation. PorTech Conference. Cite
  70. (2008). Uncertainty in container terminal operations. IFORS. Cite
  71. (2007). Application of Robust Optimisation Techniques to Automated Container Terminals. University Transport Studies Group (UTSG). PDF Cite
  72. (2007). Implementation of an Automated Guided Vehicle dispatching and scheduling framework using robust optimisation. INFORMS. Cite
  73. (2007). Simulation and Evaluation of Intelligent Check in Facilities for Ferry Port Terminals. European Transport Conference. Cite
  74. (2006). Security and Reliability of the Liner Container-Shipping Network. IAME. Cite

Book Chapters

  1. (2018). Comparison of Fleet Size Models for Horizontal Transportation of Shipping Containers using Automated Straddle Carriers. Handbook of Terminal Planning. Cite
  2. (2017). Building Sustainable and Resilient Infrastructure to Support Future Cities. Defining the Urban: Interdisciplinary and Professional Perspectives. Cite
  3. (2017). Port Environmental Management. Encyclopedia of Maritime and Offshore Engineering. Cite
  4. (2015). Economic and environmental trade-offs in water transportation. Green Logistics and Transportation: A Sustainable Supply Chain Perspective. Cite DOI
  5. (2013). Introduction to network theory and game theory as frameworks for the analysis of critical infrastructure . Infrastructure Risk and Resilience: Transportation. Cite DOI
  6. (2007). Security and reliability of the liner container-shipping network: Analysis of robustness using a complex network framework. Risk Management in Port Operations, Logistics and Supply-Chain Security. Cite DOI