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Journal of Ergonomics
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Research Article

Reduction of Backing Crashes by Production Rear Vision Camera Systems

Carol A. Flannagan1*, Raymond J. Kiefer2, Shan Bao1, David J. LeBlanc1 and Scott P. Geisler2

1The University of Michigan Transportation Research Institute, 2901 Baxter Road, Ann Arbor, MI 48109-2150, USA

2General Motors Active/Passive Safety Electronics & Controls, Vehicle Engineering Center, MC 480-210-620, 30001 Van Dyke Road, Warren, Michigan 48090-9020, USA

*Corresponding Author:
Carol A. Flannagan, Ph.D.
Assistant Research Scientist, Co-Head, Transportation Data Center
University of Michigan Transportation Research Institute (UMTRI)
The University of Michigan, Ann Arbor, MI 48109- 2150
Tel: +1 734-936-1102
Fax: 734-647-3330
E-mail: [email protected]

Received Date: April 24, 2014; Accepted Date: May 28, 2014; Published Date: June 04, 2014

Citation: Flannagan CA, Kiefer RJ, Bao S, LeBlanc DJ, Geisler SP (2014) Reduction of Backing Crashes by Production Rear Vision Camera Systems. J Ergonomics S3:008. doi: 10.4172/2165-7556.S3-008

Copyright: © 2014 Flannagan CA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the toriginal author and source are credited.


Today’s automotive Rear Vision Camera (RVC) systems display an image to the driver of an area behind the vehicle generated by a camera located in the rear of the vehicle. This paper examined if, and to what extent, these systems offered on a wide variety of production vehicles are addressing backing crashes (estimated to represent approximately 3%-4% of all annual police-reported crashes in the United States). Police-reported crashes from ten United States state crash databases were examined to determine the frequency of backing crashes and control (baseline) crashes. The logistic regression model developed suggests that production RVC systems examined may be reducing overall police-reported backing crashes by 52%. This is a particularly promising finding because these systems may also be helping to avoid additional backing crashes that have not been reported to the police. This research can be used to inform emerging crash avoidance system-related system consumer metrics (e.g., New Car Assessment Program (NCAP) programs), government regulations surrounding RVC systems, and system performance requirements associated with RVC consumer metrics and regulations.


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