The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …

Understanding driving behavior–even in the rapid emergence of automation-remains in the
spotlight, for decomposing complex driving dynamics, enabling the development of user …

Dynamic time warping is one of the most important similarity measurement methods for time
series data mining. Owing to the different influence of various time points, an extension of …

To achieve greater sustainability of the traffic system, the trend of traffic accidents in road
traffic was analysed. Injuries from traffic accidents are among the leading factors in the …

Introduction: Pedestrian fatalities in the United States increased 45.5% between 2009 and
2017. More than 85% of those additional pedestrian fatalities occurred at night. Method: We …

Weather is well recognized as a significant environmental factor contributing to higher risk of
road crashes. In the conventional road safety studies, weather effects had been set out …

Using a dynamic transfer function model-based methodology, this study analyzes the joint
influence of legislation changes, enforcement and compliance with driving regulations in …

Safer roads and police enforcement are closely associated since the latter directly
encourages road users to improve their behavior by complying with basic traffic rules and …

Dynamic time warping (DTW) is one of the most important similarity measurement methods
for time series analysis. In view of the high complexity and pathological alignment of DTW, a …

Road traffic accidents have decreased in most developed nations over the last decade. This
has been attributed to improvements in vehicle and road design, medical technology and …