NTL Record

Title Crash Avoidance Technology Evaluation Using Real-World Crash Data
Record ID 69551
Personal Name
Creator
Flannagan, Carol A.; Leslie, Andrew
Corporate Creator University of Michigan. Transportation Research Institute
Corporate
Contributor
United States. Department of Transportation. National Highway Traffic Safety Administration
Publisher United States. Department of Transportation. National Highway Traffic Safety Administration
Publication Date 20200300
Language English
Abstract This study used data on primarily optional safety content from 1.2 million General Motors (GM) vehicles linked to State police-reported crash data by Vehicle Identification Number to estimate field performance of a variety of new safety technologies. After linkage, there were 35,401 vehicles in our analysis dataset. This data included both an indication (presence/absence) of certain types of safety equipment on each vehicle, as well as a variety of crash descriptors at the crash, vehicle, and driver levels. Available covariates were also used to attempt to control for variables that might influence system-relevant crash involvement for the systems examined, including driver age and gender, speed limit, alcohol/drug presence, fatigue, weather, road surface condition, vehicle type, and vehicle model.
Rosap ID dot:44159
Rosap URL https://rosap.ntl.bts.gov/view/dot/44159
TRT Terms Crash avoidance systems; Technology; Crash data; Crash analysis; Crash characteristics; Safety; Crashes; Safety equipment
Geographical
Coverage
United States
TRIS Online
Accession No
1734991
Contract Number DTHN2216R00075; Vehicle Electronics Systems Safety IDIQ
Report Number DOT HS 812 841
Resource type Tech Report
URL https://ntlrepository.blob.core.windows.net/lib/69000/69500/69551/DOT-HS-812-841_20200317.pdf
Format PDF
Database NTL Digital Repository