Target Crash Population for Crash Avoidance Technologies in Passenger Vehicles
This report documents an approach used to establish crash populations (or target crash populations) for five groups of collision avoidance technologies in passenger vehicles: (1) forward collision prevention, (2) lane keeping, (3) blind zone detection, (4) forward pedestrian impact, and (5) backing collision avoidance. These technologies, categorized as SAE Level 0–1 driving automation systems have been increasingly offered by vehicle manufacturers under a variety of marketing terminologies. Passenger vehicles defined here include cars, cross-overs, SUVs, light trucks and vans with gross vehicle weight ratings (GVWR) 10,000 lbs and under.
- Record URL:
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Corporate Authors:
National Center for Statistics and Analysis
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Wang, Jing-Shiarn
- Publication Date: 2019-3
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Appendices; References; Tables;
- Pagination: 60p
Subject/Index Terms
- TRT Terms: Automation; Costs; Crash avoidance systems; Driving; Highway safety; Injury severity; Passenger vehicles; Precrash phase; Traffic crashes
- Identifier Terms: KABCO Score; Maximum Abbreviated Injury Scale
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01706429
- Record Type: Publication
- Report/Paper Numbers: DOT HS 812 653
- Files: HSL, TRIS, ATRI, USDOT
- Created Date: May 28 2019 4:50PM