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ARTIMATION - Transparent Artificial Intelligence and Automation to Air Traffic Management systems

The research project ARTIMATION focuses on investigating AI (Artificial Intelligence) methods, based on the domain of XAI (Explainable Artificial Intelligence), in predicting air transportation traffic and optimising traffic flows. 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.

Start

2021-01-01

Planned completion

2022-12-31

Main financing

European Union’s Horizon 2020

Collaboration partners

ECOLE NATIONALE DE L AVIATION CIVILE; UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA; DEEP BLUE SRL

Project manager at MDH

Senior Lecturer

Mobyen Uddin Ahmed

+4621107369

mobyen.ahmed@mdh.se

Primary purpose

The aim of the research project ARTIMATION is to assist the ATM operators based on the domain of XAI.

Project activities include investigation of specific features such as lifelong machine learning, Data-Driven Storytelling, Immersive Analytics, Visualisation, Brain-Computer Interface (BCI) and user-centric AI to make the AI system very useful for operators of ATM-systems.

Project objectives

The transparent AI models with explainable decisions provided by ARTIMATION will be helpful to the ATM operators.

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