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 …

Autonomous vehicle industry is making rapid progress in the development of commercial
vehicles with higher levels of autonomy. Although the general advanced driver assistance …

Driving behavior classification has received increasing attention in recent years, where
driving maneuver classification plays an important role. The first step of building a driving …

Aggressive driver behavior (ADB) is often linked with road crashes, especially during crash
imminent situations. Previous studies demonstrated that ADB was positively correlated with …

The application of naturalistic driving data (NDD) has the potential to answer critical
research questions in the area of driving behavior assessment, as well as the impact of …

Driving behavior classification is highly correlated with vehicle accidents and injury.
Automatically recognizing different driving behaviors is important for improving road safety …

This study explores the relationships among various factors influencing risky driving
behaviours, particularly on high-speed corridors (expressways). A total of 546 samples are …

Lane change has a potential significance in road safety. Gap acceptance phenomena
serves as a primary and critical phase in lane change maneuver. This study aims to …

There is not yet sufficient knowledge on how people want to be driven in highly automated
vehicles. In the present study, three different driving styles-dynamic, comfortable and …

The development of highly automated driving requires dynamic approaches that anticipate
the cognitive state of the driver. In this paper, a cognitive model is developed that simulates …