bsuirДоклады БГУИРDoklady BGUIR1729-76482708-0382БГУИР10.35596/1729-7648-2026-24-4-89-97bsuir-4408Research ArticleСтатьиОценка индивидуальных психофизиологических характеристик водителей транспортных средствAssessment of Individual Psychophysiological Characteristics of Vehicle DriversДубовскийВ. А.DubovskyV.

Минск

Dubovsky Vladimir, Cand. Sci. (Tech.), Leading Researcher

220072, Minsk, Akademicheskaya St., 12

Tel.: +375 17 370-07-49

vdubovsky.email@gmail.comСавченкоВ. В.SavchenkoV.

Минск

Savchenko V., Cand. Sci. (Tech.), Associate Professor, Head of the Research Center “On-Board Control Systems for Mobile Vehicles”

220072, Minsk, Akademicheskaya St., 12

Объединенный институт машиностроения Национальной академии наук БеларусиБеларусьThe Joint Institute of Mechanical Engineering of the National Academy of Sciences of BelarusBelarus2026300820262448997Copyright © Дубовский В.А., Савченко В.В., 20262026Дубовский В.А., Савченко В.В.Dubovsky V., Savchenko V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://doklady.bsuir.by/jour/article/view/4408

Для обеспечения безопасности при переходе между автоматизированным и ручным вождением в автоматизированных транспортных средствах необходимо контролировать состояние водителя. Существующие исследования в этой области в основном направлены на оценку текущего состояния водителя без прогнозирования его возможного поведения в сложных дорожных ситуациях, что может негативно сказаться на безопасности эксплуатации автоматизированных транспортных средств при смене режима вождения. С целью устранения этого недостатка в статье предлагается метод оценки относительно стабильных индивидуальных психофизиологических характеристик водителя, которые могли бы служить в качестве предикторов его способности мобилизовать внутренние резервы при принятии решений в сложных дорожных ситуациях. Метод позволяет определить численные значения показателей таких индивидуальных психофизиологических характеристик, как время реакции, способность к экстренным действиям, бдительность, концентрация и распределение внимания, восприятие скорости и расстояния, а также склонность к риску во время ручного вождения.

To ensure safe transitions between automated and manual driving in automated vehicles, it is necessary to monitor the driver’s state. Existing research in this area primarily assesses the driver’s current state without predicting their potential behavior in complex driving situations, which could negatively impact the safety of automated vehicles when switching between driving modes. To address this shortcoming, this article proposes a method for assessing relatively stable individual driver psychophysiological characteristics that could serve as predictors of their ability to mobilize internal reserves when making decisions in complex driving situations. The method allows one to determine the numerical values of indicators of such individual psychophysiological characteristics as reaction time, ability to take emergency actions, vigilance, concentration and distribution of attention, perception of speed and distance, as well as risk propensity during manual driving.

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