Collisions between heavy trucks and passenger cars are a major concern because of the
severity of injuries. This research has two objectives. One is to examine the impact of various …

This paper describes the use of ordered probit models to examine the risk of different injury
levels sustained under all crash types, two-vehicle crashes, and single-vehicle crashes. The …

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

To reduce injuries in road crashes, better understanding is needed between the relationship
of injury severity and risk factors. This study seeks to identify the contributing factors affecting …

The existing studies on drivers' injury severity include numerous statistical models that
assess potential factors affecting the level of injury. These models should address specific …

Although trucks only account for approximately 4% of all the vehicles based on the Federal
Railway Administration (FRA) database, about 25% involved truck accidents happen at …

Long-combination vehicles (LCVs) have significant potential to increase economic
productivity for shippers and carriers by decreasing the number of truck trips, thus reducing …

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 …

Rear-end crashes constitute a substantial portion of the total crashes in the United States.
They are also amenable to reduction through emerging intelligent transportation systems …

This paper investigates factors affecting injury severity of crashes involving HAZMAT large
trucks. It uses the crash data in the state of California from the Highway Safety Information …