Sorry, you need to enable JavaScript to visit this website.
An official website of the European UnionAn official EU website
English (en)
TRIMIS

TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS

ARTIMATION

TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS

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.

Institution Type:
Institution Name: 
European Commission
Type of funding:
Programme Other: 
SESAR-ER4-01-2019 Digitalisation and Automation principles for ATM
Lead Organisation: 

Maelardalens Hoegskola

Address: 
HOGSKOLEPLAN 1
721 23 VASTERAS
Sweden
EU Contribution: 
€350,000
Partner Organisations: 

Deep Blue Srl

Address: 
Via Ennio Quirino Visconti 8
193 Roma
Italy
EU Contribution: 
€211,875

Ecole Nationale De L Aviation Civile

Address: 
Avenue Edouard Belin 7
31055 31055
France
EU Contribution: 
€245,000

Universita Degli Studi Di Roma La Sapienza

Address: 
Piazzale Aldo Moro 5
00185 ROMA
Italy
EU Contribution: 
€192,500
Technologies: 
Development phase:
Development phase: