For a decade, researchers working in the area of road safety have started exploring the use
of driving behavior data for a better understanding of the causes related to road accidents. A …

Objective: The aim of this study was to outline a conceptual framework for understanding
driving style and, on this basis, review the state-of-the-art research on driving styles in …

The objective of this paper is to provide a review of the most popular and often implemented
methodologies related to Usage-based motor insurance (UBI). UBI schemes, such as Pay …

Human factors are the primary catalyst for traffic accidents. Among different factors, fatigue,
distraction, drunkenness, and/or recklessness are the most common types of abnormal …

Limited driving range remains one of the barriers for widespread adoption of electric
vehicles (EVs). To address the problem of range anxiety, this paper presents an energy …

Road accidents and vehicular emissions are two significant issues related to road
transportation, affecting both human life and the environment. Prior research suggests that …

This study analyzed the potentially dangerous driving behaviors of commercial truck drivers
from both macro and micro perspectives. The analysis was based on digital tachograph data …

This study reviews the Artificial Intelligence and Machine Learning approaches developed
thus far for driver profile and driving pattern recognition, representing a set of macroscopic …

Rear-end crashes at signalized intersections are attributed to different traffic behavior and
operational characteristics. However, the influences of homogenous traffic conditions in …

The evaluation of road safety is a critical issue having to be conducted for successful safety
management in road transport systems, whereas safety management is considered in road …