Given the importance of trucking to the economic well being of a country and the safety
concerns posed by the trucks, a study of large-truck crashes is critical. This paper contributes …

In recent years, there has been an increasing interest in understanding the contributory
factors to run-off-road (ROR) crashes in the US, especially those where large trucks are …

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 …

Introduction Driving environment, including road surface conditions and traffic states, often
changes over time and influences crash probability considerably. It becomes stretched for …

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 adverse driving conditions, such as inclement weather and/or complex terrain, trucks are
often involved in single-vehicle (SV) accidents in addition to multi-vehicle (MV) accidents …

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

Traffic congestion is monotonically increasing, especially in large cities, due to rapid
urbanization. Traffic congestion not only deteriorates traffic operation and degrades traffic …

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' …

Introduction The focus of this paper is on illustrating the feasibility of aggregating data from
disparate sources to investigate the relationship between single-vehicle truck crash injury …