This paper investigates the differences between single-vehicle and multi-vehicle truck
crashes in New York City. The random parameter models take into account the time of day …

Previous studies have looked at different factors that contribute to large truck-involved
crashes, however a detailed analysis considering the specific effects of time of day is …

Using the data from large-truck crashes in Los Angeles over an eight-year period (January
1, 2010 to December 31, 2017), the variation in the influence of factors affecting injury …

In the past, many attempts have been made to study the effects of large trucks on the safety
of roadway users. However, the exact effects of weekdays and weekends on the injury …

This paper investigates factors that influence the severity of single-vehicle crashes that
happen on weekdays and weekends. Crash data from 2012 to 2016 for the State of …

On January 4th, 2004, the Federal Motor Carrier Safety Administration implemented a
revised set of regulations concerning the hours-of-service (HOS) of commercial motor …

Data associated with over 9000 accidents involving large trucks and combination vehicles
during a two-year period on freeways in the greater Los Angeles area are analyzed relative …

Numerous driver, vehicle, roadway, and environmental factors contribute to crash-injury
severity. In addition to main effects, interactions between factors are very likely to be …

According to crash configuration and pre-crash conditions, traffic crashes are classified into
different collision types. Based on the literature, multi-vehicle crashes, such as head-on, rear …

A time-dependent logistic regression model has been formulated to assess the safety of
motor carrier operations. The model estimates the probability of having an accident at time …