Artificial Intelligence Applicability to Air Traffic Management Network Operations

Abstract

Air Traffic Management (ATM) is under great pressure and facing major challenges in the coming years. The industry is driven by safety, capacity, cost of service, efficiency and the environment. "Continuous traffic growth, structural airspace and airport capacity issues, and extreme weather events call for new approaches to reshape today’s operations and business models" [1]. If the aviation industry is to handle the levels of traffic predicted, as well as to cope with new flight modalities on the horizon, including Unmanned Aerial Systems (UAS) and space, "It will be essential to take a step forward in the capabilities of our systems to cope with the flood of data and to make intelligent decisions" [2].