Contact Dr Yan Xu
- Tel: +44 (0) 1234 754861
- Email: yanxu@cranfield.ac.uk
- ORCID
- Google Scholar
Areas of expertise
- Aeronautical Systems
- Aviation Management & Operations
- Computing, Simulation & Modelling
Background
Dr. Yan Xu is a Lecturer in ATM/CNS, with the Centre for Autonomous and Cyber-Physical Systems in the School of Aerospace, Transport and Manufacturing. Before taking the academic role, he conducted his postdoc research with the Centre for Aeronautics in the same school as a Research Fellow in UTM. Prior to joining Cranfield University, he received his Ph.D. in Aerospace Science and Technology from the Technical University of Catalonia, and received his M.Sc. and B.Eng. in Traffic Engineering from Nanjing University of Aeronautics and Astronautics. He performed a visiting study in early 2017 at the Ecole Nationale de l'Aviation Civile. His main research interests include air traffic management, UAS traffic management and Urban Air Mobility.
Research opportunities
Self-motivated PhD candidate with strong operations research, algorithm/software development and aviation background are encouraged to apply. Experience with air/unmanned traffic management are highly valued.
Current activities
He is currently leading the ATM Laboratory based in the Digital Aviation Research and Technology Centre (DARTeC), supervising 4 Postdoc Research Fellows, 5 PhD students and 3 Visiting PhD students.
Course Director of MSc in Advanced Air Mobility Systems.
Ongoing research projects:
Cranfield PI of project ISOBAR (artificial Intelligence to forecaSt meteO-Based DCB imbAlances for netwoRk operations planning), 2020-2022, funded by SESAR JU, under the EU H2020 programme, ID: 891965.
Cranfield PI of EPSRC DTP programme in partnership with Boeing Research & Technology Europe: Contingency Management of the Advanced Air Mobility System of Systems: UAS/UAM, Integrated ATM/UTM and Infrastructures.
Cranfield Co-I of project AMU-LED (Air Mobility Urban - Large Experimental Demonstrations), 2021-2022, funded by SESAR JU, under the EU H2020 programme, ID: 101017702.
Cranfield Co-I of project AMEC (Air Mobility Ecosystem Consortium), 2022-2024, funded by UKRI under the Future Flight Challenge Phase 3 programme, ID: 10023201.
Cranfield Co-I of project HADO (High intensity Autonomous Drone Operations), 2022-2024, funded by UKRI under the Future Flight Challenge Phase 3 programme, ID: 10024815.
Cranfield Co-I of project Blueprint, 2022-2024, funded by UKRI under the Future Flight Challenge Phase 3 programme, ID: 10025964.
He was also involved in the GAUSS (Galileo-EGNOS as an Asset for UTM Safety and Security) project.
Clients
Publications
Articles In Journals
- Chen Y, Hu M, Xu Y & Yang L (2023) Locally generalised multi-agent reinforcement learning for demand and capacity balancing with customised neural networks, Chinese Journal of Aeronautics, Available online 24 January 2023.
- Tang Y, Xu Y & Inalhan G (2022) An integrated approach for on-demand dynamic capacity management service in U-space, IEEE Transactions on Aerospace and Electronic Systems, 58 (5) 4180-4195.
- Yuan L, Jin J, Xu Y, Zhang N & Zhang B (2022) Study on recognition method of similar weather scenes in terminal area, Computer Systems Science and Engineering, 44 (2) 1171-1185.
- Xu Y, Camargo L & Prats X (2021) Fast-time demand-capacity balancing optimizer for collaborative air traffic flow management, Journal of Aerospace Information Systems, 18 (8).
- Zhang Q, Le M & Yu X (2021) Collaborative delay management towards demand-capacity balancing within User Driven Prioritisation Process, Journal of Air Transport Management, 91 (March) Article No. 102017.
- Xu Y, Prats X & Delahaye D (2020) Synchronised demand-capacity balancing in collaborative air traffic flow management, Transportation Research Part C: Emerging Technologies, 114 (May) 359-376.
- Tian Y, He X, Xu Y, Wan L & Ye B (2020) 4D trajectory optimization of commercial flight for green civil aviation, IEEE Access, 8 62815-62829.
- Xu Y, Dalmau R, Melgosa M, Montlaur A & Prats X (2020) A framework for collaborative air traffic flow management minimizing costs for airspace users: enabling trajectory options and flexible pre-tactical delay management, Transportation Research Part B: Methodological, 134 (April) 229-255. Dataset/s: 10.1016/j.trb.2020.02.012
- Xu Y & Prats X (2018) Linear holding for airspace flow programs: a case study on delay absorption and recovery, IEEE Transactions on Intelligent Transportation Systems, 20 (3) 1042-1051.
- Xu Y, Dalmau R & Prats X (2018) Climb, cruise, and descent speed reduction for airborne delay without extra fuel, Journal of Aircraft, 55 (3) 1299-1304.
- Xu Y & Prats X (2018) Including linear holding in air traffic flow management for flexible delay handling, Journal of Air Transportation, 25 (4).
- Xu Y, Dalmau R & Prats X (2017) Maximizing airborne delay at no extra fuel cost by means of linear holding, Transportation Research Part C: Emerging Technologies, 81 (August) 137-152.
- Xu Y & Prats X (2017) Effects of linear holding for reducing additional flight delays without extra fuel consumption, Transportation Research Part D: Transport and Environment, 53 (June) 388-397.
- Xu Y, Zhang H, Liao Z & Yang L (2016) A dynamic air traffic model for analyzing relationship patterns of traffic flow parameters in terminal airspace, Aerospace Science and Technology, 55 (August) 10-23.
- Zhang H, Xu Y, Yang L & Liu H (2014) Macroscopic model and simulation analysis of air traffic flow in airport terminal areas, Discrete Dynamics in Nature and Society, 2014 Article No. 741654.
Conference Papers
- Wan J, Xu Y, Zhang H & Zhao Y (2023) A data-driven approach to analyze the development of the United States air traffic management system. In: AIAA SciTech Forum 2023, National Harbor, 23-27 January 2023.
- Su Y & Xu Y (2022) Risk-based flight planning and management for urban air mobility. In: AIAA Aviation 2022 Forum, Chicago, IL, 27 June - 1 July 2022.
- Fremond R, Xu Y & Inalhan G (2022) Application of an autonomous multi-agent system using proximal policy optimisation for tactical deconfliction within the urban airspace. In: 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), Portsmouth, Virginia, 18-22 September 2022.
- Su Y, Xu Y & Inalhan G (2022) A comprehensive flight plan risk assessment and optimization method considering air and ground risk of UAM. In: 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), Portsmouth, Virginia, 18-22 September 2022.
- Altun AT, Xu Y, Inalhan G, Vidal-Franco I & Hardt M (2022) Contingency management concept generation for U-space system. In: 2022 Integrated Communication, Navigation and Surveillance Conference (ICNS), Dulles, 5-7 April 2022.
- Tang Y & Xu Y (2021) Multi-agent deep reinforcement learning for solving large-scale air traffic flow management problem: a time-step sequential decision approach. In: 2021 AIAA/IEEE 40th Digital Avionics Systems Conference (DASC), San Antonio, 3-7 October 2021.
- Chen Y, Xu Y, Hu M & Yang L (2021) Demand and capacity balancing technology based on multi-agent reinforcement learning. In: 2021 AIAA/IEEE 40th Digital Avionics Systems Conference (DASC), San Antonio, 3-7 October 2021.
- Chen Y, Xu Y, Hu M, Huang F & Nie Q (2021) A 4D-trajectory planning method based on hybrid optimization strategy for demand and capacity balancing. In: 2021 AIAA/IEEE 40th Digital Avionics Systems Conference (DASC), San Antonio, 3-7 October 2021.
- Huang C & Xu Y (2021) Integrated frameworks of unsupervised, supervised and reinforcement learning for solving air traffic flow management problem. In: 2021 AIAA/IEEE 40th Digital Avionics Systems Conference (DASC), San Antonio, 3-7 October 2021.
- Xu Y, Prats X & Yin J (2018) Coordinated trajectory management for integrated control of airport and airspace operations. In: 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), London, 23-27 September 2018.
- Yin J, Hu Y, Ma Y, Xu Y, Han K & Chen D (2018) Machine learning techniques for taxi-out time prediction with a macroscopic network topology. In: 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), London, 23-27 September 2018.
- Xu Y, Prats X & Delahaye D (2018) Synchronization of traffic flow and sector opening for collaborative demand and capacity balancing. In: 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), London, 23-27 September 2018.
- Yang L, Yin S, Hu M & Xu Y (2017) A case study of non-linear dynamics of "human-flow" behavior in terminal airspace. In: 12th USA/Europe Air Traffice Management R and D Seminar, Seattle, 26-30 June 2017.
- Xu Y & Prats X (2017) Including linear holding in air traffic flow management for flexible delay handling. In: 12th USA/Europe Air Traffice Management R and D Seminar, Seattle, 26-30 June 2017.
