SciTransfer
JARVIS · Project

AI Digital Assistants for Safer and More Efficient Air Traffic and Airport Operations

transportTestedTRL 6

Imagine having a super-smart co-pilot, air traffic controller, and airport manager all rolled into one AI system. It helps humans handle the stress of busy skies and crowded runways by suggesting the best moves to avoid crashes and delays. It's like a high-tech GPS and personal assistant that ensures planes land safely and on time.

By the numbers
20
consortium partners
65%
industry ratio
3
ATM solutions developed
The business problem

What needed solving

Aviation is facing increasing complexity in aircraft, ATC, and airport operations, leading to high pilot workload and inefficient airspace management.

The solution

What was built

Three AI-driven Digital Assistants: AIR-DA for flight decks, ATC-DA for control towers, and AP-DA for airport ground operations.

Audience

Who needs this

Commercial AirlinesAir Navigation Service Providers (ANSPs)International Airport OperatorsAircraft Manufacturers (OEMs)
Business applications

Who can put this to work

Aviation
enterprise
Target: Airline Operator

If you are an airline operator dealing with high pilot workload and crew shortages — this project developed an Airborne Digital Assistant (AIR-DA) that enables reduced crew or single pilot operations without compromising safety.

Air Traffic Management
enterprise
Target: Air Navigation Service Provider

If you are a navigation provider dealing with airspace congestion and flight plan errors — this project developed an ATC-DA that provides tactical conflict resolution and short-term traffic forecasting.

Airport Management
enterprise
Target: Airport Operator

If you are an airport operator dealing with runway intrusions and passenger flow bottlenecks — this project developed an Airport DA (AP-DA) that increases automation for intrusion detection and aircraft turnaround.

Frequently asked

Quick answers

What is the cost or pricing for these AI assistants?

Based on available project data, no pricing or cost information is provided as this is a research and innovation project.

Is this technology ready for industrial scale deployment?

The project is at different stages: the Airport DA is at TRL6 (near-ready), while the Airborne and ATC assistants are at TRL4 (prototype/lab validation).

Who owns the IP and how is licensing handled?

Based on available project data, specific IP and licensing terms are not disclosed, though the project is led by Collins Aerospace with 20 partners.

How does this comply with aviation safety regulations?

The project addresses 'Assured AI' to ensure trustworthy and ethical decision-making in collaboration with regulatory agencies, including EASA.

When will these systems be available for commercial use?

The project period runs from 2023-06-01 to 2026-05-31, suggesting commercial availability would follow the 2026 completion date.

Consortium

Who built it

The consortium is heavily industry-driven with a 65% industry ratio, comprising 13 companies and 2 SMEs across 9 countries. Led by a major player, Collins Aerospace, the group balances commercial expertise with 5 research centers and 1 university, indicating a strong push toward commercial viability rather than pure academic research.

How to reach the team

Contact Collins Aerospace Ireland, Limited

Next steps

Talk to the team behind this work.

Contact us to explore integration of Assured AI in your aviation operations.

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