Real-life crashes with cars fitted with on-board crash pulse recorders were used to study the influence of their collision partner, in both twoand single-vehicle crashes, on crash severity and injury risk. The crash severity was lower in single-vehicle crashes compared with two-vehicle crashes. Both average change of velocity and mean acceleration were lower and average pulse duration was longe...

This study presents a novel approach for analysis of patterns in severe crashes that occur on mid-block segments of multilane highways with partially limited access. A within stratum matched crash vs. non-crash classification approach is adopted towards that end. Under this approach crashes serve as units of analysis and it does not require aggregation of crash data over arterial segments of ar...

OBJECTIVE To describe the magnitude and characteristics of crashes and drivers involved in head-on crashes on two-way interurban roads in Spain between 2007 and 2012, and to identify the factors associated with the likelihood of head-on crashes on these roads compared with other types of crash. METHODS A cross-sectional study was conducted using the National Crash Register. The dependent vari...

Truck-involved crashes have higher crash severity than non-truck-involved crashes. There have been many studies about the frequency of crashes and the development of severity models, but those studies only analyzed the relationship between observed variables. To identify why more people are injured or killed when trucks are involved in the crash, we must examine to quantify the complex causal r...

This study aims to evaluate the impact of pavement physical characteristics on the frequency of single-vehicle run-off-road (ROR) crashes in two-lane separated rural highways. In order to achieve this goal and to introduce the most accurate crash prediction model (CPM), authors have tried to develop generalized linear models, including the Poisson regression (PR), negative binomial regression (...

Highlights Data from the Fatality Analysis Reporting System (FARS) and General Estimates System (GES) show that, in 2011, about 3 percent of fatal crashes, 1.7 percent of injury crashes, and 2 percent of property-damage-only (PDO) crashes involved single-unit trucks (SUTs). Crashes involving SUTs killed 1,064 people and injured about 38,000 people. Additionally, about 87,000 SUTs were involved ...

There has been considerable research conducted on the development of statistical models for predicting motor vehicle crashes on highway facilities. These models have often been employed to estimate the number of crashes per unit of time for an entire highway segment or intersection, without distinguishing the influence different sub-groups have on crash risk. The two most important sub-groups t...

This paper explores the similarities and differences between bicycle and motorcycle crashes with other motor vehicles. If similar treatments can be effective for both bicycle and motorcycle crashes, then greater benefits in terms of crash costs saved may be possible for the same investment in treatments. To reduce the biases associated with under-reporting of these crashes to police, property d...

OBJECTIVE To compare associations of alcohol, cannabis, and cocaine abuse and traffic crash risk for "at fault" crashes and all crashes. DESIGN A historical cohort study. SETTING Toronto, Ontario. Patients or subjects: Subjects beginning treatment at the Centre for Addictions and Mental Health (CAMH) in 1994 for abuse of alcohol, cannabis, cocaine, and all combinations of these substances (...