Communications - Scientific Letters of the University of Zilina 2025, 27(1):C1-C13 | DOI: 10.26552/com.C.2025.011

Computer Vision Technologies in Controlling the Electric Drive of Railway Transport

Yaroslav Kyrylenko ORCID...*, Yurij Kutovoj, Tatiana Kunchenko, Oleksandr Nesterenko
Department of Automated Electromechanical System, NTU "KhPI", Kharkiv, Ukraine

Analysis of statistical data on accidents on railways shows that most often an accident occurs due to the influence of the human factor, obstacles on the track, curvature of the track, the phenomenon of skidding and slipping in dynamic modes. The novelty of the proposed work consists in development of a mathematical model and a study of the automatic speed control, depending on the curvature of the track or in the presence of obstacles, and track defects, as well as measuring the linear speed of the railway transport as one of the main elements of the slip protection system and the system for implementing the maximum traction force. The solution of these problems is possible with the help of a multipurpose sensor, which is a video camera, to form the feedback signals to the control system.

Keywords: electric drive, railway transport, neural regulator, computer vision, image processing, optical flow
Grants and funding:

The authors received no financial support for the research, authorship and/or publication of this article.

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: July 20, 2024; Accepted: November 11, 2024; Prepublished online: December 4, 2024; Published: January 2, 2025  Show citation

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Kyrylenko, Y., Kutovoj, Y., Kunchenko, T., & Nesterenko, O. (2025). Computer Vision Technologies in Controlling the Electric Drive of Railway Transport. Communications - Scientific Letters of the University of Zilina, 27(1), C1-13. doi: 10.26552/com.C.2025.011
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