NEURAL NETWORK MODEL FOR ASSESSING THE FUNCTIONAL STATE OF DRIVERS IN TRANSPORT SAFETY SYSTEMS

  • Алексей Сергеевич Катасёв Kazan National Research Techniсal University named after A.N.Tupolev
  • Дина Владимировна Катасёва Kazan National Research Techniсal University named after A.N.Tupolev
  • Айназ Адхамович Сибгатуллин Kazan National Research Techniсal University named after A.N.Tupolev
Keywords: neural network model, functional state of the driver, pupillometry, modeling, transport security.

Abstract

The paper considers the problem of assessing the functional state of drivers in transport security systems. Methods for assessing functional states are analyzed. To solve the problem, the expediency of using pupillometry as an effective method of objective monitoring of the functional state of a person is substantiated. To analyze the values of pupillogram parameters, it is proposed to use a neural network model. The process of preparing data for analysis and modeling is described. On the basis of Deductor, a neural network model was built and studied. The research results showed that the constructed model is adequate and can be effectively used as part of an intelligent system for assessing the functional state of fatigue of vehicle drivers.

Author Biographies

Алексей Сергеевич Катасёв, Kazan National Research Techniсal University named after A.N.Tupolev

Doctor of Technical Sciences, Associate Professor, Professor of the Department of Information Security System of KNRTU-KAI named after A.N. Tupolev.

Research interests: neural network and neuro-fuzzy modeling, data mining, soft computing, decision support systems.

SPIN: 9374-6690, AuthorID:651038, ORCID:0000-0002-9446-0491

 E-mail: Kat_726@mail.ru

Дина Владимировна Катасёва, Kazan National Research Techniсal University named after A.N.Tupolev

Candidate of Technical Sciences, Senior Lecturer, Dept. SIB KNRTU-KAI named after A.N. Tupolev.

Research interests: neural network and non-fuzzy modeling, data mining, analysis and forecasting of time series.

SPIN:9573-2456, AuthorID:799596, ORCID:0000-0001-6141-8329

E-mail:DVKataseva@kai.ru

Айназ Адхамович Сибгатуллин, Kazan National Research Techniсal University named after A.N.Tupolev

Master student of the SIS department of the Kazan National Research Technical University named after A.N. Tupolev-KAI.

Areas of scientific interest: data mining technologies, neural network modeling.

E-mail: ainazsib@mail.ru

Published
2023-04-18
How to Cite
Катасёв, Алексей, Катасёва, Дина, & Сибгатуллин, Айназ. (2023, April 18). NEURAL NETWORK MODEL FOR ASSESSING THE FUNCTIONAL STATE OF DRIVERS IN TRANSPORT SAFETY SYSTEMS. Electronics, Photonics and Cyberphysical Systems, 3(1), 69-80. Retrieved from http://elphotkai.ru/article/view/512
Issue
Vol 3 No 1 (2023): Issue 7
Section
Cyber-physical systems
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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