Statistics of Light-Vehicle Pre-Crash Scenarios Based on 2011–2015 National Crash Data

Swanson, Elizabeth D.; Foderaro, Frank; Yanagisawa, Mikio; Najm, Wassim G.; Azeredo, Philip; John A. Volpe National Transportation Systems Center (U.S.)

doi:10.21949/1530164

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Statistics of Light-Vehicle Pre-Crash Scenarios Based on 2011–2015 National Crash Data

2019-08-01
By Swanson, Elizabeth D. ; Foderaro, Frank ; Yanagisawa, Mikio ; ...

[PDF-3.16 MB]

English

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Creators:

Swanson, Elizabeth D. ; Foderaro, Frank ; Yanagisawa, Mikio ; Najm, Wassim G. ; Azeredo, Philip

Swanson, Elizabeth D. ; Foderaro, Frank ; Yanagisawa, Mikio ; Najm, Wassim G. ; Azeredo, Philip Less -
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Corporate Contributors:

United States. Department of Transportation. National Highway Traffic Safety Administration
Subject/TRT Terms:

[+]

Crash Avoidance Crash Avoidance Systems Crash Characteristics FARS Fatalities Fatality Analysis Reporting System General Estimates System GES ITS Program Technologies Light Vehicles Police-reported Crashes Police Reports Pre-crash Scenario
Publication/ Report Number:

DOT HS 812 745 ; DOT-VNTSC-NHTSA-18-01

DOT HS 812 745 ; DOT-VNTSC-NHTSA-18-01 Less -
DOI:

https://doi.org/10.21949/1530164
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report (2017-2018)
Corporate Publisher:

United States. Department of Transportation. National Highway Traffic Safety Administration
Abstract:

This report defines a new set of 36 distinct pre-crash scenarios that represent the crash population of light-vehicles (LVs) based on data from the 2011-2015 Fatality Analysis Reporting System (FARS) and National Automotive Sampling System General Estimates System (GES) crash databases. LVs include all passenger cars, vans, minivans, sport utility vehicles, and light pickup trucks with gross vehicle weight ratings less than or equal to 10,000 pounds. Pre-crash scenarios describe vehicle movements and the critical event that made the crash imminent (i.e., something occurred that made the collision possible). The 36 pre-crash scenarios are arranged into nine groups: control loss, road departure, animal, pedestrian, pedalcyclist, lane change, opposite direction, rear-end, and crossing paths. These nine groups account for 24,534 (94%) fatal crashes and an estimated 5,020,000 (89%) of all police-reported crashes based on the yearly average of the 2011-2015 FARS and GES crash databases, respectively. This report also provides crash characteristics for each pre-crash scenario and group in terms of environmental conditions, road geometry, crash location, vehicle/crash-related factors, driver characteristics, attempted avoidance maneuver, traffic violations, and crash contributing factors.
Content Notes:

Swanson, E., Foderaro, F., Yanagisawa, M., Najm, W. G., & Azeredo, P. (2019, August). Statistics of light-vehicle pre-crash scenarios based on 2011-2015 national crash data (Report No. DOT HS 812 745). Washington, DC: National Highway Traffic Safety Administration.
Format:

PDF
Collection(s):

NHTSA - Vehicle Safety Research Volpe Center
Main Document Checksum:

[+]

urn:sha256:c37486ae88a5885e4e5609f579a5a26638346c472b5ee136fcf62b164b04e297
Download URL:

https://rosap.ntl.bts.gov/view/dot/41932/dot_41932_DS1.pdf
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Statistics of Light-Vehicle Pre-Crash Scenarios Based on 2011–2015 National Crash Data

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