The use of artificial intelligence technologies in predicting the risks of road traffic accidents in driver training

- Семеренко, Ж.М. (orcid.org/0000-0002-3647-7412) (2026) The use of artificial intelligence technologies in predicting the risks of road traffic accidents in driver training Інноваційна професійна освіта. Професійна освіта в умовах цифрової трансформації та технологічної модернізації: виклики та перспективи розвитку: матеріали VI Міжнародної науково-практичної конференції (м. Київ, 8 травня 2026 р.), 1 (28). pp. 246-253. ISSN 2786-619-X

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Abstract

The article substantiates the feasibility of using artificial intelligence technologies to predict the risks of road traffic accidents in the professional training of drivers. It analyzes the potential of intelligent systems for modeling traffic situations, assessing driver behavior, and developing decision-making skills under risk conditions. An approach is proposed for integrating artificial intelligence technologies into the educational process, aimed at enhancing the predictive abilities of learners. The prospects for improving the effectiveness of driver training through digital educational resources are also identified.

Item Type:	Article
Keywords:	artificial intelligence, professional driver training, road traffic accidents, risk prediction, digital educational resources
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 Application-oriented computer-based techniques Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.09 Organization of instruction Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 377 Specialized instruction. Vocational, technical, professional training. Vocational colleges, institutes. Polytechnics Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 6 Applied Sciences. Medicine. Technology > 65 Communication and transport industries. Accountancy. Business management. Public relations
Divisions:	Institute of Vocational Education > Department of Digital Educational Resources
Depositing User:	секретар Жанна Семеренко
Date Deposited:	28 Oct 2026 19:35
Last Modified:	28 Oct 2026 19:35
URI:	https://lib.iitta.gov.ua/id/eprint/750140

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