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TRIMIS

TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS

PROJECTS
Funding
European
European Union
Duration
-
Status
Complete
Geo-spatial type
Other
Total project cost
€999 375
EU Contribution
€999 375
Project Acronym
ARTIMATION
STRIA Roadmaps
Network and traffic management systems (NTM)
Transport mode
Airborne icon
Transport policies
Safety/Security
Transport sectors
Passenger transport,
Freight transport

Overview

Call for proposal
H2020-SESAR-2019-2
Link to CORDIS
Objectives

Recently, Artificial intelligence (AI) algorithms have shown increased interest in various application domains including in Air Transportation Management (ATM). Different AI in particular Machine Learning (ML) algorithms are used to provide decision support in autonomous decision-making tasks in the ATM domain e.g. predicting air transportation traffic and optimizing traffic flows. However, most of the time these automated systems are not accepted or trusted by the intended users as the decisions provided by AI are often opaque, non-intuitive and not understandable by human operators. Safety is the major pillar to air traffic management, and no black box process can be inserted in a decision-making process when human life is involved.

In order to address this challenge related to transparency of the automated system in the ATM domain, ARTIMATION focuses on investigating AI methods in predicting air transportation traffic and optimizing traffic flows based on the domain of Explainable Artificial Intelligence (XAI). Here, AI models’ explainability in terms of understanding a decision i.e., post hoc interpretability and understanding how the model works i.e., transparency can be provided in air traffic management. In predicting air transportation traffic and optimizing traffic flows systems, ARTIMATION will provide a proof-of-concept of transparent AI models that includes visualization, explanation, generalization with adaptability over time to ensure safe and reliable decision support.

Funding

Parent Programmes
Institution Type
Public institution
Institution Name
European Commission
Type of funding
Public (EU)
Specific funding programme
H2020-EU.3.4.7. - SESAR JU
Other Programme
SESAR-ER4-01-2019 Digitalisation and Automation principles for ATM

Partners

Lead Organisation
Organisation
Maelardalens Hoegskola
Address
HOGSKOLEPLAN 1, 721 23 VASTERAS, Sweden
Organisation website
EU Contribution
€350 000
Partner Organisations
Organisation
Deep Blue Srl
Address
Via Ennio Quirino Visconti 8, 193 Roma, Italy
EU Contribution
€211 875
Organisation
Ecole Nationale De L Aviation Civile
Address
Avenue Edouard Belin 7, 31055 31055, France
Organisation website
EU Contribution
€245 000
Organisation
Universita Degli Studi Di Roma La Sapienza
Address
Piazzale Aldo Moro 5, 00185 ROMA, Italy
Organisation website
EU Contribution
€192 500

Technologies

Technology Theme
Aircraft operations and safety
Technology
Big data analytics for management of ATM systems
Development phase
Validation
Technology Theme
Information systems
Technology
Machine learning for air traffic management
Development phase
Validation

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