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What is Collaborative Decision Making (CDM)

Handbook of Research on AI Methods and Applications in Computer Engineering
Collaborative DM by operators in ANS, is a joint government/industry initiative aimed at improving air traffic flow management through increased information exchange among aviation community stakeholders.
Published in Chapter:
Artificial Intelligence Methods and Applications in Aviation
Tetiana Shmelova (National Aviation University, Ukraine), Maxim Yatsko (Bees Airline, Ukraine), Iurii Sierostanov (Bees Airline, USA), and Volodymyr Kolotusha (National Aviation University, Ukraine)
DOI: 10.4018/978-1-6684-6937-8.ch006
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.”
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Intelligent Automated System for Supporting the Collaborative Decision Making by Operators of the Air Navigation System During Flight Emergencies
Is a joint government/industry initiative aimed at improving air traffic flow management through increased information exchange among aviation community stakeholders.
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Unmanned Aerial Vehicles for Smart Cities: Estimations of Urban Locality for Optimization Flights
Is a joint government/industry/peoples/UAV operators initiative aimed at improving air traffic UAVs flow management through increased information exchange among urban community stakeholders.
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Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers
Is a joint government/industry initiative aimed at improving air traffic flow management through increased information exchange among aviation community stakeholders.
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Applications of Decision Support Systems in Aviation
Is a joint government/industry initiative aimed at improving air traffic flow management through increased information exchange among aviation community stakeholders.
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