Abstract Background Road Traffic injuries (RTI) are among the top ten leading causes of
death in the world resulting in 1.35 million deaths every year, about 93% of which occur in …

There has been considerable research conducted over the last 20 years focused on
predicting motor vehicle crashes on transportation facilities. The range of statistical models …

This study attempts to explore the viability of dual-state models (ie, zero-inflated and hurdle
models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency …

In this study, the generalized estimating equations with the negative binomial link function
were used to model rear-end crash frequencies at signalized intersections to account for the …

At least two important transportation planning activities rely on planning-level crash
prediction models. One is motivated by the Transportation Equity Act for the 21st Century …

Motorcycles are overrepresented in road traffic crashes and particularly vulnerable at
signalized intersections. The objective of this study is to identify causal factors affecting the …

Advances in safety research–trying to improve the collective understanding of motor vehicle
crash causes and contributing factors–rest upon the pursuit of numerous lines of research …

Motorcyclists tend to be more vulnerable to injuries than those using other motorised
vehicles and this may act synergistically with the complexity of conflicting movements …

Leaving the scene of a crash without reporting it is an offence in most countries and many
studies have been devoted to improving ways to identify hit-and-run vehicles and the drivers …

Many studies focused on the development of crash prediction models have resulted in
aggregate crash prediction models to quantify the safety effects of geometric, traffic, and …