Artificial Intelligence Methods and Applications in Aviation

Abstract

The authors make an analysis of the International Civil Aviation Organization documents on applications of new technology for minimizing risk and improving safety in the aviation system. ICAO defined new approaches for effectiveness in aviation – application of artificial intelligence (AI) models for the organization of collaborative decision making (CDM) by all aviation specialists (pilots, air traffic controllers, engineers, etc.) using CDM models based on general information on the flight. The AI is presented in models of decision making (DM) in air navigation system (ANS) as expert systems. The effectiveness of ANS operators' decisions depends on the rational use of intelligent automation at all stages of aircraft flight in the form of intelligent decision support systems (IDSS), with hybrid intelligence (natural intelligence), and AI in DM. Models may be used in the education of aviation specialists and in IDSSs in real flight, especially in emergencies. The chapter presents some examples of CDM models in an emergency “engine failure in flight.”