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Current Trends in the Application of Artificial Intelligence Methods in Aviation

Current Trends in the Application of Artificial Intelligence Methods in Aviation
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Author(s): Tetiana Shmelova (State University “Kyiv Aviation Institute”, Ukraine), Yuliya Sikirda (Ukrainian State Flight Academy, Ukraine)and Maxim Yatsko (SmartLynx Airlines “Mazrudas”, Latvia)
Copyright: 2027
Pages: 38
Source title: Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/407391

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Abstract

The authors have analyzed the documents of the International Civil Aviation Organization (ICAO) on the use of new technologies to minimize risks and improve safety in the aviation system. ICAO has identified new approaches to improve efficiency in aviation – the use of Artificial Intelligence (AI) models to organize Collaborative Decision-Making (CDM) by all aviation professionals based on general flight information. The effectiveness of Air Navigation System (ANS) operators' decisions depends on the rational use of intelligent automation at all stages of an aircraft flight in the form of Expert Systems or Intelligent Decision Support Systems (IDSS) with Hybrid Intelligence. To use CDM in IDSS in an emergency, a multilayer recurrent Artificial Neural Network with biases is designed. An illustrative example of the CDM models used by ANS operators (pilot, controller, engineer) and AI in the emergency “engine failure in flight” is presented. To improve the efficiency of aviation systems, it is proposed to introduce AI methods for collaborative training of aviation specialists.

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