Artificial Intelligence Technology for Assessing the Practical Knowledge of Air Traffic Controller Students Based on Their Responses in Multitasking Situations

Artificial Intelligence Technology for Assessing the Practical Knowledge of Air Traffic Controller Students Based on Their Responses in Multitasking Situations

The main goal of the research is to develop an artificial intelligence technology to assess the practical knowledge of air traffic controller (ATCo) students based on their responses in simulated multitasking situations using the proposed neuro-fuzzy model verified in experiments. An informational n...

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Bibliographic Details
Main Authors: Matej Antoško, Volodymyr Polishchuk, Martin Kelemen, Anton Korniienko, Miroslav Kelemen
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
training of air traffic controllers
instructors
neuro-fuzzy model
flight safety
applied mathematics
assessment
Online Access:https://www.mdpi.com/2076-3417/15/1/308
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