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 […]
Second General Assembly Meeting
On the 30th of November and 1st December ARTIMATION attended its Second General Assembly Meeting, held in La Sapienza – University of Rome in a mixed modality of presence and remotely. All the Consortium partners were able to participate physically: representants from Mälardalen University (MDH), Deep Blue, La Sapienza and ENAC joined the meeting in […]
ARTIMATION’s workshop – Definition of the Roadmap
During these past months, the ARTIMATION Project has been developing the XAI algorithms to support the ATCOs’ tasks that, according to workshop for task T3.2 – Prioritisation Workshop, would need more the help of XAI: AI optimises utilisation capacity and AI issues instructions. Two different tools will result from this task: a Conflict Detection and Resolution tool […]
ARTIMATION Workshop – AI support to ATM tasks
On Tuesday the 6th of July, the ARTIMATION project held its first Workshop. The meeting lasted two-and-a-half hours and brought together different types of aviation stakeholders such as students, techs and controllers. Using the collaborative platform Miro.com, participants had the opportunity to interactively produce a prioritization of the implications of introducing AI in ATM. More precisely, the […]
ATM Tasks to be supported by AI algorithms – Prioritization Workshop
ARTIMATION project aims at investigating AI methods in predicting air transportation traffic and optimizing traffic flows based on the domain of Explainable Artificial Intelligence (XAI), providing a proof-of-concept of transparent AI models that includes visualization, explanation, generalization with adaptability over time to ensure safe and reliable decision support. ATM Tasks to be supported by AI […]
About the project
Recently, Artificial intelligence (AI) algorithms have shown increasable 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 […]
