AISA

Introducing Artificial Intelligence in Air Traffic Management

AISA is a new exploratory research project that investigates how to increase automation in air traffic management.

The main project objectives:

• explore the effects of human-machine distributed situational awareness and opportunities for automation of monitoring tasks in en-route operation,

• identify the data needed by air traffic controller to ensure that the proposed solution is correct and develop the method to provide that data,

• investigate methods for adaptation of the automated system to changes of the environment ensuring business continuity and safety.

AISA (AI Situational Awareness Foundation for Advancing Automation) is a SESAR Exploratory Research project aiming to create a team situational awareness among human and machine. The project will explore domain-specific application of transparent and generalizable artificial intelligence methods.

The project is formed by a European consortium: its members are from Austria, Croatia, Germany, Hungary, Spain and Switzerland. The Faculty of Transport and Traffic Sciences at the University of Zagreb is the coordinator of this project and the consortium has four other universities on board: Johaness Kepler University of Linz, Technische Universität Braunschweig, Universidad Politécnica de Madrid, Zurich University of Applied Sciences, an Air Navigation Service Provider: Skyguide and an SME: Slot Consulting. The project started on the 1^st of June 2020 and will run for two and half years.

AISA will present a vision of automation in a specific ATM operational environment (en-route ATC) and address the challenges of transparency and generalization. During the project, a strategy for providing the necessary information to air traffic controllers in order to make them trust the automated system will be devised. Methods to increase the ability of an automated system to adapt to novel circumstances will be explored.