ISOBAR · Project

AI That Predicts Storm Disruptions and Fixes Air Traffic Plans Automatically

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Imagine you run an airline and a massive thunderstorm is heading toward half of Europe tomorrow. Right now, air traffic controllers scramble to reroute hundreds of flights manually, causing delays that cascade across the entire network. ISOBAR built an AI system that reads advanced weather forecasts, predicts exactly where and when storms will cause traffic jams in the sky, and then automatically suggests the best rerouting and scheduling fixes — hours before the storm even hits. Think of it as a smart GPS for the entire European airspace that plans around bad weather before pilots even file their flight plans.

By the numbers

consortium partners collaborating on the solution

European countries represented in the consortium

industry partners involved in development

core objectives spanning weather prediction to operational integration

demo deliverables including prototype, RL algorithm, and storm model

The business problem

What needed solving

Weather-related disruptions cause billions in losses across European aviation every year, yet air traffic flow management still relies heavily on manual decision-making when storms hit. Controllers must guess where congestion will occur and apply blanket restrictions that delay far more flights than necessary. There is no widely deployed AI system that combines probabilistic storm forecasting with automated traffic flow optimization to minimize these cascading delays.

The solution

What was built

The project built three key components: a storm predictive model that identifies storm location, severity, and timing; a reinforcement learning algorithm that computes optimal demand-capacity balancing measures; and a fully integrated prototype with HMI showcase tested through simulations. An operational roadmap for integration into the EUROCONTROL Network Manager platform was also delivered.

Audience

Who needs this

Airlines with large European route networks facing weather disruption costsAir navigation service providers managing en-route and terminal airspaceEUROCONTROL and network management operations centersAviation technology vendors building next-generation ATM softwareAirport operators at weather-sensitive hub airports

Business applications

Who can put this to work

Airlines and Aviation

enterprise

Target: Airlines with European route networks

If you are an airline operations center dealing with weather-driven flight delays and cancellations — this project developed an AI-powered storm prediction model and demand-capacity balancing algorithm that forecasts airspace bottlenecks hours in advance and suggests optimal flight plan adjustments. The system was built with 11 partners across 5 countries and tested through simulation prototypes, meaning it integrates directly with existing air traffic management workflows.

Air Navigation Service Providers

enterprise

Target: National or regional air navigation service providers

If you are an air navigation service provider struggling with manual demand-capacity balancing during convective weather events — this project developed a reinforcement learning algorithm that computes optimal traffic flow measures and an enhanced convection indicator that identifies storm location, severity, and timing. With 3 research organizations and 3 universities behind the science, this is built on validated meteorological and ATM data integration.

Aviation Technology and Software

mid-size

Target: ATM software vendors and aviation tech companies

If you are an aviation technology company looking to integrate AI-based weather prediction into your air traffic management products — this project built a complete prototype with HMI showcase and defined interfaces and performance requirements for integration into network management platforms. The operational roadmap deliverable provides the technical blueprint for embedding these AI services into existing NM infrastructure.

Frequently asked

Quick answers

What would it cost to license or integrate this technology?

The project data does not include specific licensing costs or pricing models. As a SESAR research project, integration into operational systems would likely go through EUROCONTROL's deployment pathway. Contact SciTransfer for an introduction to the consortium to discuss commercial terms.

Can this work at the scale of real European air traffic operations?

The project built an experimental prototype tested through simulations, not yet at full operational scale. However, the consortium developed a specific operational and technical roadmap for integration into the EUROCONTROL Network Manager platform, including defined interfaces, functional and performance requirements. This roadmap bridges the gap between prototype and deployment.

Who owns the intellectual property and can I license it?

IP is shared among the 11 consortium partners across 5 countries under standard EU Horizon 2020 rules. The coordinator is CRIDA (Centro de Referencia Investigacion Desarrollo e Innovacion ATM) based in Spain. Contact SciTransfer for guidance on licensing specific components like the storm predictive model or the reinforcement learning DCB algorithm.

How does this integrate with existing air traffic management systems?

The project specifically addressed integration by developing an operational and technical roadmap defining interfaces, functional and performance requirements for connecting AI-based hotspot detection and adaptive mitigation measures into the Network Manager platform. The prototype was designed as a standalone HMI showcase to demonstrate the concept.

What is the timeline from current state to operational deployment?

The project closed in November 2022 with a working prototype and integration roadmap completed. Deployment into operational EUROCONTROL systems would follow the SESAR deployment pipeline, which typically involves additional validation and industrialization phases. The reinforcement learning algorithm and storm prediction model are the most mature components based on deliverable descriptions.

Does this comply with European aviation regulations?

The project was funded under SESAR (Single European Sky ATM Research), which is the EU's official program for modernizing air traffic management. This means the technology was developed within the regulatory pathway for European airspace management. The roadmap deliverable specifically addresses integration requirements for the NM platform.

Can the AI weather prediction be used independently from the traffic management module?

Based on available project data, the storm predictive model was delivered as a separate component — an enhanced convection indicator capable of identifying location, severity, and time window of storms. This suggests it could potentially be used as a standalone weather intelligence service, though it was designed to feed into the broader demand-capacity balancing system.

Consortium

Who built it

The ISOBAR consortium brings together 11 partners from 5 countries (Belgium, Switzerland, Spain, France, UK), combining 3 industry players, 3 universities, and 3 research organizations. The coordinator is CRIDA, Spain's ATM research center — not an SME but a specialized aviation R&D entity. The 27% industry ratio is moderate, reflecting the research-heavy nature of air traffic management innovation. For a business considering this technology, the multi-country consortium means the solution was designed with cross-border European airspace in mind, not limited to a single national system. The mix of academic and research partners suggests strong scientific foundations, while the industry partners provide practical ATM domain expertise.

CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E.Coordinator · ES
SWISS INTERNATIONAL AIR LINES AGparticipant · CH
DIRECTION DES SERVICES DE LA NAVIGATION AERIENNEparticipant · FR
EUROCONTROL - EUROPEAN ORGANISATION FOR THE SAFETY OF AIR NAVIGATIONparticipant · BE
AGENCIA ESTATAL DE METEOROLOGIAparticipant · ES
METEO-FRANCEparticipant · FR
ECOLE NATIONALE DE L AVIATION CIVILEparticipant · FR
SOPRA STERIA GROUPparticipant · FR
CRANFIELD UNIVERSITYparticipant · UK
UNIVERSIDAD CARLOS III DE MADRIDparticipant · ES

How to reach the team

CRIDA (Centro de Referencia Investigacion Desarrollo e Innovacion ATM) in Spain coordinates the project. SciTransfer can facilitate an introduction to discuss licensing, collaboration, or technology transfer.

Order a report on this consortium See CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E. profile →

Next steps

Talk to the team behind this work.

Want to explore how ISOBAR's AI weather prediction or demand-capacity balancing technology could benefit your aviation operations? Contact SciTransfer for a detailed briefing and introduction to the project team.

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