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Good practice Imported

ASTRA — the EU-Funded AI Project That Triples Air-Traffic Hotspot Warning Time to an Hour

Malta · Msida · See the Malta profile · See the Msida profile

Evidence: Descriptive / self-reported Top 46% 60/100 · Ask Evidence Copilot about this practice

A Malta-led, EU-funded consortium (with Italy, Spain and Switzerland's Skyguide) built an AI tool that predicts dangerous air-traffic congestion up to 60 minutes ahead, versus today's 20-minute window, validated with controllers in simulation but not yet deployed operationally.

60 minutes
Prediction horizon for high-complexity traffic hotspots (validation)
20 minutes
Current operational hotspot warning window (baseline)
1.14 € million
EU financial contribution
ASTRA — the EU-Funded AI Project That Triples Air-Traffic Hotspot Warning Time to an Hour

Details

Maturity
Pilot
Promoter
University of Malta — Institute of Aerospace Technologies (ASTRA consortium: Deep Blue, INGENAV, Skysoft-ATM, Skyguide)
Period
2023-2026
Region (NUTS)
MT00
Keywords
aviation, air traffic management, transport infrastructure, EU research

Context

ASTRA ('AI-enabled tactical FMP hotspot prediction and resolution') is a research project funded by the EU's SESAR Joint Undertaking, coordinated by the University of Malta's Institute of Aerospace Technologies with partners Deep Blue (Italy), INGENAV (Spain), Skysoft-ATM and the Swiss air navigation service provider Skyguide. It ran from September 2023 to February 2026 with an EU contribution of about €1.14 million.

Objectives

The project targeted a specific operational gap: air-traffic flow-management planners can currently identify a dangerous build-up of aircraft in a given airspace — a 'hotspot' — only around 20 minutes before it occurs, often too little time to reroute traffic efficiently. ASTRA built a machine-learning tool intended to extend that warning window to roughly an hour, while also suggesting resolution strategies to reduce controller workload.

Results

According to SESAR JU's own reporting, the tool achieved 60-minute-ahead prediction of high-complexity 4D traffic areas in validation exercises, assessed through workshops and interviews with operational flow-management experts rather than live-traffic trials. Feedback from these sessions was used to refine the tool's design.

Conclusions

As a completed research and validation project, ASTRA has not yet been deployed into daily air-traffic operations, and no live-traffic accuracy or false-alarm rate has been published; its next step would be operational trials with an air navigation service provider.

Implementation

Indicative cost
Low (< €50k) — EU contribution of about €1.14 million via the SESAR Joint Undertaking, September 2023 to February 2026.
Time to results
Medium (1–3 years) — Ran September 2023 to February 2026; concluded at the research-validation stage without operational deployment.
Staffing & skills
University of Malta Institute of Aerospace Technologies (coordinator), Deep Blue (Italy), INGENAV (Spain), Skysoft-ATM, and Skyguide (Switzerland) consortium partners

Conditions for success

  • Multi-country consortium including an air navigation service provider (Skyguide)
  • EU SESAR Joint Undertaking research funding and oversight
  • Expert validation workshops with operational flow-management planners

Common failure modes

  • No live-traffic trial or operational deployment yet; validation was qualitative (workshops/interviews) rather than measured accuracy

Where it fits

Governance type
EU-funded multi-country research consortium
Scale
European (research)
Income level
high-income

Commonly funded by

Horizon Europe

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

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