Project description
A holistic approach to air traffic
Air traffic flow management and air traffic control are vital for safe and efficient air travel. Historically, these challenges have been tackled separately, resulting in inefficiencies and potential conflicts. In this context, the EU-funded HYPERSOLVER project aims to revolutionise air traffic management by taking a comprehensive approach. This project covers every aspect, from managing aircraft density and intricate flight paths to addressing potential conflicts at different timeframes. Utilising advanced AI reinforcement learning techniques, HYPERSOLVER will continually assess and dynamically adjust air traffic control measures, ensuring the seamless coordination of aircraft and minimising conflicts.
Objective
Air Traffic Flow Management (ATFM) is the problem of adjusting the traffic demand in each traffic volume using ATFM measures so that aircraft can be safely separated during the subsequent Air Traffic Control (ATC) process. On the other hand, ATC officers (ATCOs) give different aircraft heading, speed, and flight level change instructions to separate them in flight. Both ATFM and ATC problems have been subject of research during decades, however, all previous works addressed the ATFM and ATC problems independently. The project aims to develop an HyperSolver based on advanced Artificial Intelligent Reinforcement Learning method with continuous reassessment and dynamic updates, i.e. an holistic solver from end-to-end, covering the whole process to manage, density of aircraft, complexity of trajectories, interactions (potential conflict in Dynamic Capacity Balancing timeframe) of trajectories, conflict of trajectories at medium-term and conflict of trajectories at short-term.
Fields of science
Keywords
Programme(s)
- HORIZON.2.5 - Climate, Energy and Mobility Main Programme
Funding Scheme
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinator
31000 Toulouse
France
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.