Driving style assessment plays an important role in intelligent transportation system (ITS)
applications, such as driving feedback provision and usage-based insurance. Many …

Identifying driving styles using classification models with in-vehicle data can provide
automated feedback to drivers on their driving behavior, particularly if they are driving safely …

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 …

The extraction and analysis of driving style are essential for a comprehensive understanding
of human driving behaviours. Most existing studies rely on subjective questionnaires and …

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 …

Vehicle behaviour prediction provides important information for decision‐making in modern
intelligent transportation systems. People with different driving styles have considerably …

Driving style evaluation is important for vehicle calibrations and intelligent transportation. In
this paper, we propose to quantitatively evaluate driving styles by normalizing driving …

Building human-centered intelligent transport systems (ITSs) requires thorough
understanding of the diversified driving styles among drivers. In data-driven driving behavior …

Knowledge of driving styles may contribute to traffic safety, riding experience, and support
the design of advanced driver-assistance systems or highly automated vehicles. This study …

Driving style classification can be useful for various intelligent vehicle applications and can
improve driving comfort in new driveability functions. Within this contribution, we present a …