Final Event

Brochure final event

ARTIMATION will end after December 2022, and it is now time to disseminate every project concept and outcome to the advisory board and to everyone who showed interest in the project during a final event. The project assessed two use cases: the Conflict Detection and Resolution visualisation tool, and the Delay Prediction tool. How can […]

Delay Prediction Validation

Delay Prediction Scenario

If the Conflict Detection and Resolution use case was focused on an explanation of the AI outcome provided through the interface, the Delay Prediction use case involves an algorithmic explanation.  ARTIMATION developed three different Machine Learning algorithms to provide transparency to the AI decision-making process to predict a delay on a single runway, and therefore […]

RPAS and AI in Aviation: a joint event in Rome

As we approach the end of the research project, Artimation will participate and co-organise a free and in person joint event in Rome (Italy) on 3-4 November. Artimation, Mahalo, INVIRCAT, URClearED, SAFELAND and SafeOPS, six exploratory research projects financed by the SESAR Joint Undertaking programme, are about to come together to present the audience with […]

Conflict Detection and Resolution visualisation validation

Conflict Detection and Resolution simulations

During the first year and a half of the project, we introduced many times the task of Conflict Detection and Resolution. After the Advisory Board workshop, in which ARTIMATION refined the concept of a new conflict visualisation, the final version of the protocol was developed and on July 11th the first validation activities started. The […]

Measuring Acceptance and Human Performance in ARTIMATION

Mindtooth to assess acceptance and human performance

The ARTIMATION project aims to provide Explainability to Artificial Intelligence outcomes through transparent AI models and novel visualisation techniques, following a user-centred approach. The project will validate two different use cases: a Conflict Detection & Resolution decision support, which will provide transparency with a novel interface based on intuitive heat maps and decision-based storytelling, and […]

ARTIMATION at the World ATM Congress 2022

From June 21st to June 23rd, Madrid hosted the World ATM Congress. ARTIMATION took part in the event, with two representatives: Stefano Bonelli from Deep Blue and Pietro Aricò from Sapienza University. The project printed some brochures that generated interest from the public: both the Delay Prediction and Propagation and Conflict Detection and Resolution use […]

Third General Assembly Meeting

On June 9th, ARTIMATION held its 3rd General Assembly meeting. The meeting was held in a hybrid modality: members from the whole Consortium were able to attend the meeting in presence at Mälardalens University, in Västerås, while members from the Advisory Board joined the event remotely. The Consortium discussed the validation activities that will follow in […]

ARTIMATION Project of the Month

ARTIMATION has been elected as Project of the Month by SESAR – Joint Undertaking for the month of March 2022! Artificial Intelligence holds great promise for enabling Europe to sustainably manage growing air traffic and increasingly complex air space. Nonetheless, AI needs to be explainable and trustworthy, says Mobyen Uddin Ahmed, our Project Coordinator. What […]

Intermediate Review Meeting

On the 1st of February the ARTIMATION project held online the Intermediate Review Meeting with the Project Officer Alessandro Prister, together with Karine Bansard, Reza Goulamaly, Riccardo Massacci, Triona Keaveney and Laurence Dara as representatives from SESAR Joint Undertaking. The meeting took place on Webex platform due to the COVID-19 pandemic. All the members from […]

ARTIMATION’S one year update

Currently, the AI decision making outcome is yet a “Black Box”. Aiming to ensure safe and reliable decision support to the Air Traffic Controllers, the ARTIMATION project is developing algorithms with different visualisation techniques that can provide a transparent and explainable AI model through data-driven storytelling and immersive analytics. In the first year of project […]