inttransИнтеллектуальный транспортIntelligent transport3033-6007АО «НИИАС»inttrans-32Research ArticleОБЗОРНЫЕ РАБОТЫ ПО СОВРЕМЕННЫМ НАУЧНЫМ ДОСТИЖЕНИЯМ В ОБЛАСТИ ТРАНСПОРТАБезопасность автономных транспортных средств: комплексный анализ и стратегические перспективыSafety of autonomous vehicles: comprehensive analysis and strategic perspectivesКуверинИ. Ю.KuverinI. Y.

Куверин Игорь Юрьевич, к.т.н., доцент

Саратов

Igor Y. Kuverin, PhD, Associate Professor

Saratov

igorkuv@mail.ruГусевС. А.GusevS. A.

Гусев Сергей Александрович, д.э.н., зав. кафедрой

Саратов

Sergey A. Gusev, Doctor of Economics, Head of the Department

Saratov

o051nm@yandex.ruБлиновД. Г.BlinovD. G.

Блинов Дмитрий Геннадьевич, аспирант

Саратов

Dmitry G. Blinov, postgraduate student

Saratov

bdg@rusptk.comСГТУ имени Гагарина Ю.А.РоссияGagarin State Technical UniversityRussian Federation20251109202604(36)102115Copyright © Куверин И.Ю., Гусев С.А., Блинов Д.Г., 20262026Куверин И.Ю., Гусев С.А., Блинов Д.Г.Kuverin I.Y., Gusev S.A., Blinov D.G.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.intelligent-transport.ru/jour/article/view/32

В статье проводится комплексный анализ безопасности автономных транспортных средств как перспективного решения глобальной проблемы дорожно-транспортного травматизма. На основе актуальных данных за 20232025 годы из международных источников, проводится сравнительная оценка аварийности беспилотных и традиционных автомобилей. Подробно рассматривается технологический потенциал автономных систем для исключения человеческого фактора основной причины ДТП. Исследуются ключевые барьеры массового внедрения: технические ограничения, проблемы кибербезопасности, правовая неопределенность и низкий уровень общественного доверия. В заключении формулируются стратегические направления для безопасной интеграции технологий, включая развитие нормативной базы, повышение прозрачности тестирования и совершенствование алгоритмов искусственного интеллекта.

The article provides a comprehensive analysis of the safety of autonomous vehicles as a promising solution to the global problem of road traffic injuries. Based on up-to-date data for 2023-2025 from international sources (NHTSA, Waymo, AAA), a comparative assessment of the accident rate of unmanned and traditional vehicles is carried out. The technological potential of autonomous systems to eliminate the human factor, which is the main cause of an accident, is considered in detail. The key barriers to mass adoption are being investigated: technical limitations, cybersecurity issues, legal uncertainty, and a low level of public trust. In conclusion, strategic directions for the safe integration of technologies are formulated, including the development of a regulatory framework, increasing transparency of testing and improving artificial intelligence algorithms.

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The authors declare that there are no conflicts of interest present.