Abstract Connected Vehicles (CVs) technology has provided large-scale driving database
embedded in Basic Safety Messages (BSMs). This valuable data source can shed more light …

About 40 percent of motor vehicle crashes in the US are related to intersections. To deal with
such crashes, Safety Performance Functions (SPFs) are vital elements of the predictive …

Safety literature has traditionally developed independent model systems for macroscopic
and microscopic level analysis. The current research effort contributes to the literature on …

Introduction: Walking is an active way of moving the population, but in recent years there
have been more pedestrian casualties in traffic, especially in developing countries such as …

Interaction effects constitute crucial crash attributes that can be classified into two distinct
categories: spatiotemporal interactions and factor interactions. These interactions are rarely …

Introduction: This study aims to increase the prediction accuracy of crash frequency on
roadway segments that can forecast future safety on roadway facilities. A variety of statistical …

Traditionally, aggregate crash frequency by severity and disaggregate severity analysis
have been conducted independently in the safety literature. The current research effort …

Major concerns have been raised about road safety during the COVID-19 pandemic in the
US, as the crash fatalities have increased, despite the substantial reduction in traffic …

Traffic crashes impose tremendous socio-economic losses on societies. To alleviate these
concerns, countless traffic safety researches have shed light on the cognition of observable …

Introduction: Right-turn lane (RTL) crashes are among the key contributors to intersection
crashes in the US. Unfortunately, the lack of deep insights into understanding the effects of …