Severity of driver injury and vehicle damage in traffic crashes at intersections: A Bayesian hierarchical analysis

Most crash severity studies ignored severity correlations between driver-vehicle units involved in the same crashes. Models without accounting for these within-crash correlations will result in biased estimates in the factor effects. This study developed a Bayesian hierarchical binomial logistic model to identify the significant factors affecting the severity level of driver injury and vehicle damage in traffic crashes at signalized intersections. Crash data in Singapore were employed to calibrate the model. Model fitness assessment and comparison using Intra-class Correlation Coefficient (ICC) and Deviance Information Criterion (DIC) ensured the suitability of introducing the crash-level random effects. Crashes occurring in peak time, in good street lighting condition, involving pedestrian injuries are associated with a lower severity, while those in night time, at T/Y type intersections, on right-most lane, and installed with red light camera have larger odds of being severe. Moreover, heavy vehicles have a better resistance on severe crash, while crashes involving two-wheel vehicles, young or aged drivers, and the involvement of offending party are more likely to result in severe injuries.

Damage to vehicle safety and engine exhaust emissions systems in collision. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Vehicle entrapment. Final report.

Federal Highway Administration, Washington, D.C.

Analysis of insurance claims to determine bumper effect on crash damage. Final report.

National Highway Traffic Safety Administration, Office of Plans and Programs, Washington, D.C.

Drivers survey on unreported and low-damage accidents involving bumpers. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

CRASH III model improvements: vehicle categorization for stiffness parameters. Volume 1. Final report.

Mode of access: Internet.

An evaluation of vehicle repair costs for Auto Check participants. Final report.

National Highway Traffic Safety Administration, Office of State Vehicle Programs, Washington, D.C.

Yielding-barrier test data base-refinement of damage data tables in the CRASH program. Interim report.

National Highway Traffic Safety Administration, Washington, D.C.

Situational and Driver Characteristics Associated With Deervehicle Collisions in Southeastern Michigan

Deer-vehicle collisions (DVCs) create societal impacts throughout the range of white-tailed deer (Odocoileus virginanus). In Michigan reported DVCs increased by nearly 60% between 1992-2003, with current estimates at more than 65,000 DVCs per year and a mean of $2,300 vehicle damage. To better understand where to direct education and information programs, we used Office of Highway Safety Planning (OHSP) data, 2001-2003, to profile driver characteristics and accident situations of DVCs in Washtenaw, Oakland, and Monroe Counties in Michigan. Each county varies in intensity of land use, human and deer densities, and available deer habitat. Deer density in Washtenaw, Oakland, and Monroe Counties was 49.5, 21.9 and 8.9 per mi2, respectively, and the annual rate of DVCs in these counties was 5.3, 2.6 and 1.8 per 1,000 licensed drivers. Drivers are at particular risk of being involved in DVCs between 6pm- 6am, which includes dawn and dusk commuting hours, and night. Single lane roads and roads with higher posted speed limits provided greater risk to drivers of involvement in a DVC. Middle-aged drivers, particularly males, were at increased risk deer-related collisions. Results from this study will be combined with survey research to determine how best to educate drivers about risk factors that make occurrence of a DVC more likely.

Automobile consumer information study crash test program. Volume I. Summary report. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Heavy truck pilot crash test - frontal impact.

National Highway Traffic Safety Administration, Washington, D.C.

Tri-level accident research study. Second annual report. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Multidisciplinary investigations of vehicular accidents in the New Orleans area. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Yielding barrier test data base--a study of side impact cases in the multi-disciplinary accident investigation (MAI) file. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

CRASH III model improvements: derivation of new side stiffness parameters from crash tests. Volume 2. Final report.

Mode of access: Internet.