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Do Elevated Gravitational-Force Events While Driving Predict Crashes and Near Crashes?
- Source :
- American Journal of Epidemiology; May2012, Vol. 175 Issue 10, p1075-1079, 5p
- Publication Year :
- 2012
-
Abstract
- The purpose of this research was to determine the extent to which elevated gravitational-force event rates predict crashes and near crashes. Accelerometers, global positioning systems, cameras, and other technology were installed in vehicles driven by 42 newly licensed Virginia teenage drivers for a period of 18 months between 2006 and 2009. Elevated gravitational force and crash and near-crash events were identified, and rates per miles driven were calculated. (One mile = 1.6 km.) The correlation between crashes and near crashes and elevated gravitational-force event rates was 0.60. Analyses were done by using generalized estimating equations with logistic regression. Higher elevated gravitational-force event rates in the past month substantially increased the risk of a crash in the subsequent month (odds ratio = 1.07, 95% confidence interval: 1.02, 1.12). Although the difference in this relation did not vary significantly by time, it was highest in the first 6 months compared with the second and third 6-month periods. With a receiver operating characteristic curve, the risk models showed relatively high predictive accuracy with an area under the curve of 0.76. The authors conclude that elevated gravitational-force event rates can be used to assess risk and to show high predictive accuracy of a near-future crash. [ABSTRACT FROM AUTHOR]
- Subjects :
- TRAFFIC accident risk factors
ACCELEROMETERS
AUTOMOBILE driving
CONFIDENCE intervals
STATISTICAL correlation
EPIDEMIOLOGY
GEOGRAPHIC information systems
GRAVITATION
LONGITUDINAL method
RESEARCH methodology
RESEARCH funding
SAFETY
TIME
VIDEO recording
LOGISTIC regression analysis
DATA analysis
PREDICTIVE validity
RECEIVER operating characteristic curves
STATISTICAL models
Subjects
Details
- Language :
- English
- ISSN :
- 00029262
- Volume :
- 175
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- American Journal of Epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 75699051
- Full Text :
- https://doi.org/10.1093/aje/kwr440