Imagine if the people deciding which planes can take off and the controllers guiding them in the air worked from two different maps. This project creates a single AI brain that handles both jobs at once. It's like a smart GPS for the sky that predicts traffic jams and fixes flight paths in real-time to keep planes safe and moving.
Air traffic flow and active flight control are currently handled as two separate problems. This disconnect creates inefficiencies in how aircraft density and trajectory conflicts are managed in real-time.
A simulator prototype and a detailed Concept Outline for an AI-based end-to-end air traffic solver.
If you are an ANSP dealing with fragmented traffic management and flight delays — this project developed an AI controller that manages both flow and separation in one system. This reduces the need for independent adjustments between flow management and active control.
If you are a software developer dealing with complex trajectory conflicts in dense airspace — this project developed a reinforcement learning solver that handles short and medium-term conflicts. This allows for more precise and dynamic aircraft routing.
If you are a consultant dealing with carbon emissions from inefficient flight paths — this project developed a tool integrated into the AMELIA project to accelerate climate aviation neutrality. It optimizes trajectories to reduce wasted fuel and time.
Based on available project data, no commercial pricing is provided; however, the EU contributed EUR 759,200 to the research and development phase.
The project has developed a simulator prototype and a concept outline, but it is currently in the research and prototype phase rather than full industrial scale.
Based on available project data, specific licensing terms are not listed, though the project involves a consortium of 7 partners including SMEs and universities.
The project identifies the need for further research into new regulation measures and the assessment of safety risks to ensure the AI solution is acceptable to controllers.
The project period runs from 2023-06-01 to 2025-11-30, indicating it is currently in the development and testing phase.
The consortium consists of 7 partners across 5 countries, showing a strong international reach. With an industry ratio of 29% (including 2 industry partners and 1 SME), the project balances academic research from 3 universities with practical commercial application, led by a French SME.
Contact NEOMETSYS in France for technical specifications on the AI solver.
Contact us to explore licensing opportunities for the HYPERSOLVER prototype.
