SciTransfer
ISLAND · Project

AI-Driven Airspace Capacity Management and Virtual Air Traffic Control Centers

transportTestedTRL 6

Imagine if air traffic control worked like a cloud service that could expand or shrink based on how many planes are in the sky. Instead of fixed boundaries, it uses AI to shift capacity where it is needed most in real-time. This prevents bottlenecks and keeps flights moving even when unexpected disruptions hit.

By the numbers
19
consortium partners
13
participating countries
58%
industry ratio
The business problem

What needed solving

Air traffic management often suffers from rigid capacity limits and disruptions that cause delays. Current systems lack the flexibility to shift resources dynamically based on real-time demand.

The solution

What was built

Two primary solutions: Solution 0331 (Digital Capacity) and Solution 0332 (Virtual Centre), including AI-driven toolsets and technical specifications for virtualized ATM services.

Audience

Who needs this

Air Navigation Service ProvidersATM Software DevelopersAirport Authority OperatorsCivil Aviation Regulatory Bodies
Business applications

Who can put this to work

Aviation Infrastructure
enterprise
Target: Air Navigation Service Providers (ANSPs)

If you are an ANSP dealing with airspace congestion and rigid sector boundaries — this project developed virtual center concepts that allow for on-demand air traffic services to increase en-route capacity.

Software Engineering
mid-size
Target: ATM Software Vendors

If you are a software vendor dealing with outdated manual capacity planning — this project developed AI and machine learning toolsets that enable rapid exploration of capacity-on-demand solutions.

Airline Operations
enterprise
Target: Commercial Airline Carriers

If you are a carrier dealing with flight delays due to airspace limitations — this project developed a system for dynamic airspace configuration that improves cost-efficiency of flight paths.

Frequently asked

Quick answers

What is the cost or pricing model for this technology?

Based on available project data, no specific pricing or cost models are provided, although cost-benefit analyses have been completed as part of the deliverables.

Can this be scaled to an industrial level?

Yes, the project targets TRL6 for two main solutions (Digital Capacity and Virtual Centre), indicating a move toward industrial-scale prototypes.

How is the IP and licensing handled?

Based on available project data, specific licensing terms are not mentioned, but the project involves 19 partners across 13 countries including 11 industry players.

What is the timeline for deployment?

The project runs from 2023-06-01 to 2026-05-31, with a formal maturity gate planned for March 2026.

How does this integrate with existing air traffic systems?

It uses virtualization models and digital INAP applications to provide on-demand services that maintain current safety levels while increasing automation.

Consortium

Who built it

The consortium is heavily weighted toward commercial application, with an industry ratio of 58% comprising 11 companies. Led by EUROCONTROL, the 19 partners span 13 countries, ensuring the resulting tools are compatible with diverse European airspace regulations and operational needs.

How to reach the team

Contact EUROCONTROL in Belgium for technical specifications on Solution 0331 and 0332.

Next steps

Talk to the team behind this work.

Contact us to connect with the ISLAND consortium for TRL6 prototype validation opportunities.

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