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 …

Professional drivers are more frequently exposed to longer driving distance and travel time,
leading to a higher possibility of safety risk for distraction and fatigue. The widespread and …

The emergence of sensor-based Internet of Things (IoT) monitoring technologies have
paved the way for conducting large-scale naturalistic driving studies, where continuous …

Trucks are essential for transporting goods in today's economy, and heavy truck technology
is advancing rapidly. New advancements include electric trucks, internet of things …

Trucks are disproportionately involved in fatal traffic accidents and contribute significantly to
CO2 emissions. Gathering data from trucks presents a unique opportunity for estimating …

The burden of lower respiratory infections is primarily evident in the developing countries.
However, the association between size-specific particulate matter and acute lower …

In 2013, Thailand was ranked second in the world in road accident fatalities (RAFs), with
36.2 per 100,000 people. During the Songkran festival, which takes place during the …

This paper presents a driver-specific risk recognition framework for autonomous vehicles
that can extract inter-vehicle interactions. This extraction is carried out for urban driving …

Introduction: Despite the general improvements in road safety, with the growing number of
bicycle users, cycling safety is still a challenge as demonstrated by the fact that it is the only …

There is a need to improve the validity of the driving test as a measure of an individual's
ability to drive safely. This paper explores the use of algorithms to analyze acceleration and …