ОПТИМІЗАЦІЯ БЕЗПЕКИ ДОРОЖНЬОГО РУХУ НА ОСНОВІ ШТУЧНОГО ІНТЕЛЕКТУ: ПРОГНОЗУВАННЯ ТА ЗАПОБІГАННЯ ЗІТКНЕННЯМ НА ПЕРЕХРЕСТЯХ ЗА ДОПОМОГОЮ МАШИННОГО НАВЧАННЯ

Yuliia Balashova; Andrii Balashov

doi:10.30890/2567-5273.2025-37-02-040

Authors

Yuliia Balashova Ukrainian State University of Science and Technologies ESI PSACEA https://orcid.org/0000-0002-2286-9263
Andrii Balashov Ukrainian State University of Science and Technologies ESI PSACEA https://orcid.org/0009-0007-5833-0888

DOI:

https://doi.org/10.30890/2567-5273.2025-37-02-040

Keywords:

traffic safety, machine learning, road intersections, AI-driven optimization, vehicle collision prevention

Abstract

This research explores the utilization of Artificial Intelligence (AI) techniques for enhancing traffic safety at road intersections. By integrating advanced deep learning models, physical analysis of vehicle motion, and real-time sensor data, we propose

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References

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International periodic scientific journal "Modern engineering and innovative technologies" ISSN 2567-5273, Issue №35, Part 2, October 2024, Karlsruhe, Germany, р. 18-27. / URL: https://doi.org/10.30890/2567-5273.2024-35-00-030

http:// www.moderntechno.de/index.php/meit/article/view/meit35-00-030

https://www.moderntechno.de/index.php/meit/issue/view/meit35-02/meit35-02