Imagine if air traffic control stopped treating the sky like a grid of fixed boxes and started treating planes like a flowing river. Instead of managing small zones, this system looks at the big picture to spot where traffic jams are forming before they happen. It then adjusts the flow of planes in real-time to keep everything moving smoothly.
Air traffic management is currently limited by static, sector-based planning that cannot handle unpredictable demand. This leads to congestion, inefficient airspace use, and operational delays.
A set of AI-driven modules for flow pattern extraction, monitoring, congestion assessment, flow prediction, and dynamic regulation, integrated into a validation platform.
If you are an ANSP dealing with unpredictable traffic spikes and sector congestion — this project developed a flow-centric management system that predicts congestion and optimizes regional traffic flow. This allows for capacity-on-demand rather than relying on static planning.
If you are a carrier dealing with flight delays caused by rigid airspace constraints — this project developed flow regulation and re-routing algorithms that reduce bottlenecks. This helps in maintaining better schedule predictability and reducing fuel waste from holding patterns.
If you are a software vendor dealing with outdated sector-based traffic tools — this project developed a set of AI modules for flow pattern extraction and monitoring. You can integrate these into next-generation flight management platforms to enable dynamic airspace configuration.
Based on available project data, no commercial pricing is provided as the project is funded by an EU contribution of EUR 989,637 for research and development.
No. The project aims to achieve TRL 1, meaning it is currently establishing the theoretical and methodological foundations rather than a full-scale industrial product.
Based on available project data, specific IP and licensing agreements are not listed; however, the project involves a consortium of 6 partners across 5 countries.
The project develops a platform to validate a flow-centric management system that replaces local sector-based solutions with cross-border flow-based approaches.
The project period runs from 2024-09-01 to 2027-02-28, with the final validation platform expected by the end of this term.
The consortium consists of 6 partners from 5 countries, showing a strong international reach. It is heavily weighted toward research and academia, with 2 universities and 2 research organizations, while industry representation is low at 17% (1 company). This suggests the project is primarily focused on scientific discovery rather than immediate commercialization.
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Contact us to track the evolution of this TRL 1 research into a commercial prototype.
