In comparison with the high level of knowledge about vehicle dynamics which exists
nowadays, the role of the driver in the driver–vehicle system is still relatively poorly …

Accurately estimating driving styles is crucial to designing useful driver assistance systems
and vehicle control systems for autonomous driving that match how people drive. This paper …

Perceived risk and trust are crucial for user acceptance of driving automation. In this study,
we identify important predictors of perceived risk and trust in a driving simulator experiment …

Driver braking behavior was analyzed using time-series recordings from naturalistic rear-
end conflicts (116 crashes and 241 near-crashes), including events with and without visual …

Purpose-An individual's driving style significantly affects overall traffic safety. However,
driving style is difficult to identify due to temporal and spatial differences and scene …

This driving simulator study, conducted as part of the EU AdaptIVe project, investigated
drivers' performance in critical traffic events, during the resumption of control from an …

Lane-changing (LC) is a critical task for autonomous driving, especially in complex dynamic
environments. Numerous automatic LC algorithms have been proposed. This topic …

In order to improve the real-time and computational efficiency of autonomous vehicles'
decision-making process, this paper draws on the decision-making behavior of human …

Autonomous vehicles are rapidly advancing and have the potential to revolutionize
transportation in the future. This paper primarily focuses on vehicle motion trajectory …

Threat assessment evaluates the situational criticality and helps guarantee the driving safety
of intelligent vehicles. Many critical metrics have been proposed for threat assessment, and …