Reducing the severity of injuries resulting from motor-vehicle crashes has long been a
primary emphasis of highway agencies and motor-vehicle manufacturers. While progress …

The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

Social and economic burdens caused by truck-involved rear-end collisions are of great
concern to public health and the environment. However, few efforts focused on identifying …

This paper employs a correlated random parameters ordered probit modeling framework to
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …

Many transportation agencies use accident frequencies, and statistical models of accidents
frequencies, as a basis for prioritizing highway safety improvements. However, the use of …

In traffic accident, an accurate and timely severity prediction method is necessary for the
successful deployment of an intelligent transportation system to provide corresponding …

Problem: The occurrence and outcome of traffic crashes have long been recognized as
complex events involving interactions between many factors, including the roadway, driver …

Motorcycle fatalities have more than doubled in the United States since 1997—highlighting
the need to better understand the many interrelated factors that determine motorcyclists' …

Traditional crash-severity modeling uses detailed data gathered after a crash has occurred
(number of vehicles involved, age of occupants, weather conditions at the time of the crash …

Introduction The effective treatment of road accidents and thus the enhancement of road
safety is a major concern to societies due to the losses in human lives and the economic and …