Modelling of Pilot Activities when Piloting Aircraft

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Abstract

The paper considers the representation of crew activities when piloting an aircraft using Markov chains, including modeling in regular and emergency situations, considering the experience of the crew. A method for assessing the level of pilot experience using a neural network and an algorithm for optimizing the probability matrices of transitions between model states are presented. Examples of modeling for an emergency situation are given, demonstrating the influence of the pilot's level of experience on the result.

General Information

Keywords: simulation modeling, flight model, Markov chains, neural network

Journal rubric: Data Analysis

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2024140106

Received: 18.03.2024

Accepted:

For citation: Orishchenko V.A., Greshnikov I.I. Modelling of Pilot Activities when Piloting Aircraft. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2024. Vol. 14, no. 1, pp. 89–102. DOI: 10.17759/mda.2024140106. (In Russ., аbstr. in Engl.)

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Information About the Authors

Vitaly A. Orishchenko, student, Moscow State University of psychology and education (MSUPE), Moscow, Russia, ORCID: https://orcid.org/0009-0003-6696-5147, e-mail: vitalyorischenko@gmail.com

Ivan I. Greshnikov, PhD in Engineering, Lead Engineer, State Research Institute of Aviation Systems (GosNIIAS), Graduate Student, Moscow State University of Psychology and Education (MSUPE), Moscow, Russia, ORCID: https://orcid.org/0000-0001-5474-3094, e-mail: vvanes@mail.ru

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