Assessment of Individual Psychophysiological Characteristics of Vehicle Drivers

Abstract

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.