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Activity Number:
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508
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Social Statistics Section
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| Abstract - #305907 |
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Title:
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Using Odds Ratios to Determine Estimated Relative Risk of Driving While Distracted
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Author(s):
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Jeffrey Hickman*+ and Rebecca Olson and Richard J. Hanowski
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Companies:
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Virginia Tech Transportation Institute and Virginia Tech Transportation Institute and Virginia Tech Transportation Institute
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Address:
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3500 Transportation Research Plaza, Blacksburg,, VA, 24061,
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Keywords:
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Abstract:
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Epidemiological approaches have long been used in the medical arena, but have only recently been used in naturalistic driving studies to assess safety. The current study involved a detailed investigation of driver distraction, a prominent type of driver error known to contribute to crashes. The purpose of the current study was to assess driver distraction in commercial motor vehicle operations (CMV). Data from two large-scale naturalistic studies were combined creating a data set that included over 200 CMV drivers. The continuous data set used in this analysis accounted for 3 million miles of CMV driving. A total of 4,452 safety-critical events were identified in the data set, along with 19,888 baseline epochs. Analyses, including odds ratio calculations and population attributable risk estimates, were conducted to better understand the role that distraction plays in CMV crashes.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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