| Issue |
E3S Web Conf.
Volume 446, 2023
2nd International Conference on High-Speed Transport Development (HSTD 2023)
|
|
|---|---|---|
| Article Number | 05001 | |
| Number of page(s) | 7 | |
| Section | Dynamics, Control, Intellectualization of Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202344605001 | |
| Published online | 10 November 2023 | |
Approaches to Creating a Driver Decision Support System for Digital Analysis of Railway Infrastructure Based on Machine Learning and Machine Vision Algorithms
Omsk State Transport University, Omsk, Russia
* Corresponding author: dki35@ya.ru
The paper considers the issues of creating a driver decision support system for digital analysis of the railway infrastructure based on machine learning and machine vision algorithms, which will take into account and analyse the given traffic schedule, infrastructure capabilities, dispatch centre teams, statuses of the nearest traffic participants for unmanned safe control of electric rolling stock. A detailed review of existing control systems in railway transport is made, which are based on technical vision.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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