An Opportunity for Convergence? Understanding the Prevalence and Risk of Distracted Driving through the Use of Crash Databases, Crash Investigations, and Other Approaches
A variety of methodologies for understanding the prevalence of distracted driving, its risk, and other aspects of driver secondary activity, have been used in the last 15 years. Although the current trend is toward naturalistic driving studies, each methodology contributes certain elements to a better understanding that could emerge from a convergence of these efforts. However, if differing methods are to contribute to a common and robust understanding of driver distraction, it is critical to understand the strengths and limitations of each method. This paper reviews several of the non-naturalistic methods. It suggests that "convergence science" - a more concerted and rigorous effort to bring different approaches together into an integrative whole - may offer benefits for identification and definition of issues and countermeasure development to improve driving safety.
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Availability:
- Find a library where document is available. Order URL: http://www.aaam.org/Publications.php
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Supplemental Notes:
- Abstract reprinted with permission from Association for the Advancement of Automotive Medicine.
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Corporate Authors:
Association for the Advancement of Automotive Medicine (AAAM)
P.O. Box 4176
Barrington, IL United States 60011-4176 -
Authors:
- Angell, Linda S
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Conference:
- Association for the Advancement of Automotive Medicine (AAAM) Engaged Driving Symposium
- Location: Washington DC, United States
- Date: 2014-3-31 to 2014-3-31
- Publication Date: 2014-3
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 40-59
- Monograph Title: Annals of Advances in Automotive Medicine. AAAM Engaged Driving Symposium, Washington, DC, March 31, 2014
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Serial:
- Annals of Advances in Automotive Medicine
- Volume: 58
- Publisher: Association for the Advancement of Automotive Medicine (AAAM)
- ISSN: 1943-2461
Subject/Index Terms
- TRT Terms: Attention lapses; Automatic data collection systems; Cognition; Distraction; Driver performance; Drivers; Highway safety; Research; Risk assessment
- Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 01545543
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 26 2014 3:07PM