Objectives
Managing demand for access to the airspace and available capacity is a balancing act in ATM. The project will develop dynamic airspace configuration solutions by leveraging artificial intelligence (including machine learning), various virtualisation models, digital integrated network and ATC planning (INAP) applications, as well as network-wide monitoring. The project addresses the need for on-demand air traffic services reflective of traffic demand, and the continuity of ATM services despite disruptions. The solutions are expected to enable increased en-route capacity and improved cost-efficiency of air traffic service provision, without compromising the current safety levels.
