Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …

Driver behavior is receiving increasing attention because of the staggering number of road
accidents. Many road safety reports regard human behavior as the most important factor in …

Just as it has irrevocably reshaped social life, the fast growth of smartphone ownership is
now beginning to revolutionize the driving experience and change how we think about …

The present study proposes a decision-making model based on different models of driver
behavior, aiming to ensure integration between road safety and crash reduction based on …

We present an approach to assess the risk taken by on-road vehicles within the framework
of artificial field theory, envisioned for safety analysis and design of driving …

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 …

Telematics data from usage-based motor insurance provide valuable information–including
vehicle usage, attitude toward speeding, and time and proportion of urban/nonurban driving …

This article describes the techniques employed in the production of a synthetic dataset of
driver telematics emulated from a similar real insurance dataset. The synthetic dataset …

Aggressive driving behavior (ADB) is a major cause of traffic accidents. As ADB is
controllable, ADB-based driving risk assessment is an effective method for drivers and …

The gig economy, characterized by short-term, task-based work facilitated via digital
platforms, has raised various occupational safety concerns, including road safety risks and …