Examining the Effectiveness of Forward Collision Warnings for Drowsy Drivers
Forward collision warnings (FCW) offer the potential to reduce frontal crashes by alerting drivers and are becoming standard in vehicles. These systems are largely intended to alert distracted drivers, but a pending question is the efficacy of FCW alerts for other types of impairment that might slow reaction time. To that end, this study examined the effectiveness of auditory and haptic FCW for drowsy drivers using a high-fidelity motion-base driving simulator. Overall, there was no evidence of that FCWs altered the response behavior of drowsy drivers relative to a group of drowsy drivers that did not receive a warning. The results are discussed in terms of their implications for design of advanced driver assistance systems (ADAS) and driver state monitoring.
- Record URL:
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Supplemental Notes:
- Abstract reprinted with permission of University of Iowa Public Policy Center.
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Corporate Authors:
University of Iowa, Iowa City
Public Policy Center
Department of Civil and Environmental Engineering
Iowa City, IA United States 52242-1192 -
Authors:
- Gaspar, John G
- 0000-0003-1106-2488
- Brown, Timothy L
- Schwarz, Chris W
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Conference:
- 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design
- Location: Manchester Village Vermont, United States
- Date: 2017-6-26 to 2017-6-29
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: pp 312-318
- Monograph Title: Driving Assessment 2017: Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design
Subject/Index Terms
- TRT Terms: Crash avoidance systems; Driver support systems; Drowsiness; Impaired drivers
- Uncontrolled Terms: Effectiveness; Forward collision warning
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01666961
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 24 2018 9:26AM