This paper analyzes the influence of single and combined unfavorable road geometry on
rollover and skidding risks of D-class mid-sized sport utility vehicles (SUVs) with front-wheel …

Expressways are the need for fast movement of goods and human being for long distances
in current scenario for every country, but at the same time these facilities have the highest …

Automated vehicles (AVs) are expected to improve safety by gradually reducing human
decisions while driving. However, there are still questions on their effectiveness as we …

The purpose of this research was to develop statistical and intelligent models for predicting
the severity of road traffic accidents (RTAs) on rural roads. Multiple Logistic Regression …

Abstract Background Road Safety has become a worldwide concern due to the alarming
repercussions road accidents may bear. This study examined the relationship between …

Pavement friction has been identified as crucial in traffic safety. Since the Highway Safety
Manual prediction algorithm is often based on crash frequency, the crash severity …

Crash risk identification and prediction are expected to play an important role in traffic
accident prevention. However, most of the existing studies focus only on highways, not on …

Road crashes cause significant traffic delay and bring unnecessary financial losses. This
study investigates the impact of contributing factors on the level of delay caused by crashes …

Road traffic accidents have become an important social issue worldwide. This study aims to
analyse the research status of road traffic injury from 1928 to 2018 and discuss the future …

The United States has over three trillion vehicle miles of travel annually on over four million
miles of public roadways, which require regular maintenance. To maintain and improve …