SciTransfer
INTUIT · Project

Smart Dashboard That Reveals Hidden Trade-offs in Air Traffic Performance

transportPrototypeTRL 5

Imagine you're managing air traffic across Europe and every time you improve one thing — say, reducing delays — something else gets worse, like fuel costs or noise complaints. It's like squeezing a balloon: push one side, the other bulges out. INTUIT built a visual dashboard powered by machine learning that shows exactly how these trade-offs work, so decision-makers can finally see the full picture before making changes. Think of it as a weather radar, but for air traffic performance — spotting patterns and cause-effect chains that humans alone would miss.

By the numbers
EUR 998,125
EU funding for development
5
consortium partners
3
countries involved (BE, DE, ES)
8
total deliverables produced
60%
industry partner ratio in consortium
2
SMEs in the consortium
The business problem

What needed solving

Air traffic management involves dozens of performance indicators that pull in different directions — improving capacity may worsen delays, reducing emissions may limit throughput. Decision-makers currently lack tools to see these trade-offs clearly at a system-wide level. Without understanding how a local rule change in one region cascades through the entire European ATM network, costly policy mistakes become inevitable.

The solution

What was built

A prototype interactive dashboard (the INTUIT Performance Monitoring and Management Toolset) that combines visual analytics with machine learning to help users explore ATM performance trade-offs. The toolset came with full documentation: software requirements, functional and technical designs, and a user manual. In total, the project delivered 8 formal deliverables.

Audience

Who needs this

Air Navigation Service Providers (ANSPs) managing European airspaceAirline network planning and operations departmentsAviation regulators and policy bodies (e.g., EASA, national authorities)ATM software vendors looking for analytics modules to integrateAviation consultancies advising on airspace performance optimization
Business applications

Who can put this to work

Air Navigation Services
enterprise
Target: Air Navigation Service Providers (ANSPs) like EUROCONTROL, ENAIRE, DFS

If you are an air navigation service provider dealing with conflicting performance targets — capacity vs. delays vs. environmental impact — this project developed an interactive performance monitoring toolset that uses machine learning to reveal hidden cause-effect relationships between your KPIs at different scales. The prototype dashboard lets you simulate how a local improvement translates into system-wide impact, built with input from 5 consortium partners across 3 countries.

Aviation / Airlines
enterprise
Target: Airline operations and network planning departments

If you are an airline operations team struggling to understand why certain route performance metrics improve while others degrade — this project developed visual analytics algorithms that extract understandable patterns from air traffic management data. The toolset supports multi-dimensional performance assessment, helping you trace how regulatory or operational changes ripple through the system and affect your bottom line.

Aviation Software & Consulting
any
Target: ATM technology vendors and aviation consultancies

If you are an aviation technology company looking to integrate smarter analytics into your existing ATM solutions — this project produced a documented prototype with software requirements, functional designs, and a user manual across 8 deliverables. The machine learning and visual analytics components could be licensed or integrated into commercial decision-support products for the EUR 998,125-funded SESAR ecosystem.

Frequently asked

Quick answers

What would it cost to access or license this technology?

The project was publicly funded with EUR 998,125 under SESAR. The prototype toolset was developed by a consortium led by an SME (Nommon Solutions, Spain). Licensing terms would need to be negotiated directly with the coordinator — SESAR project IP typically allows commercial exploitation by consortium members.

Can this work at industrial scale for real air traffic operations?

The project delivered a working prototype of the Performance Monitoring and Management Toolset with full documentation. It was designed to handle ATM performance datasets at different spatial and temporal scales. However, moving from prototype to operational deployment in a live ATM environment would require further validation and certification.

Who owns the intellectual property?

As a SESAR-funded project, IP is typically shared among the 5 consortium partners. Nommon Solutions and Technologies SL coordinated the project and likely holds key IP rights. Specific licensing arrangements would need to be discussed with the consortium.

Is this aligned with current aviation regulations?

INTUIT was funded under the SESAR programme (topic Sesar-11-2015), which is the EU's flagship ATM modernization initiative. The tools were specifically designed to support ATM performance monitoring in line with SESAR's performance management goals and European ATM Master Plan targets.

How long would integration take?

The project ran from March 2016 to April 2018 and produced a documented prototype with software requirements, functional and technical designs, and a user manual. Integration timelines would depend on existing IT infrastructure, but the thorough documentation suggests a structured integration path.

What data does the toolset require?

The system was designed to work with ATM performance datasets available at different spatial and temporal scales — including standard KPIs used across European air navigation. Based on available project data, it uses existing data sources rather than requiring new instrumentation.

Is there ongoing support or development?

The project closed in April 2018. Nommon Solutions and Technologies SL, the coordinating SME, remains active in the ATM analytics space. Further development or support would need to be arranged through them or other consortium partners.

Consortium

Who built it

The consortium is lean and industry-heavy: 3 out of 5 partners are from industry (60%), with 2 SMEs including the coordinator Nommon Solutions and Technologies (Spain). This signals a project designed for practical application rather than pure academic research. The mix of 1 university and 1 research organization across 3 countries (Belgium, Germany, Spain) brings both scientific rigor and domain expertise. Nommon's role as coordinating SME is a strong indicator that the technology was built with commercial potential in mind — SME-led SESAR projects typically aim to create marketable products for the ATM sector.

How to reach the team

Nommon Solutions and Technologies SL (Spain) — SME specializing in ATM analytics and data-driven decision support

Next steps

Talk to the team behind this work.

Want to connect with the INTUIT team about licensing or integrating their ATM performance analytics toolset? SciTransfer can arrange an introduction and help structure the conversation.

More in Transport & Mobility
See all Transport & Mobility projects