Bioinjury Implications of Pre-crash Safety Modeling and Intervention Investigators

Bolte, John; Weisenberger, Janet; Ohio State University. Injury Biomechanics Research Center (IBRC)

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Bioinjury Implications of Pre-crash Safety Modeling and Intervention Investigators

2018-09-30
By Bolte, John ; Weisenberger, Janet

[PDF-793.80 KB]

English

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Details:

Creators:

Bolte, John ; Weisenberger, Janet

Bolte, John ; Weisenberger, Janet Less -
Corporate Creators:

Ohio State University. Injury Biomechanics Research Center (IBRC)
Corporate Contributors:

Ohio State University. Crash Imminent Safety (CrIS) University Transportation Center ; University Transportation Centers Program (U.S.) ; United States. Department of Transportation

Ohio State University. Crash Imminent Safety (CrIS) University Transportation Center ; University Transportation Centers Program (U.S.) ; United States. Department of Transportation Less -
Subject/TRT Terms:

[+]

Crash Injuries Crash Injury Research Drivers Forecasting Highways Injury Severity Intelligent Vehicles Lane Changing Planning And Forecasting Safety And Human Factors Secondary Crashes Side Crashes Vehicles And Equipment
Resource Type:

Tech Report
Geographical Coverage:

United States
TRIS Online Accession Number:

01690131
Edition:

Final Report
Corporate Publisher:

Ohio State University. Crash Imminent Safety (CrIS) University Transportation Center
Abstract:

Boundary conditions for three crash scenarios were chosen to isolate common, yet relatively straight-forward crash physics. A population-based database (National Automotive Sampling System – Crashworthiness Data System (NASS-CDS)) and a real-world crash database (Crash Injury Research Engineering Network (CIREN)) were chosen as data sources. This study identified injury mechanisms and outcomes in lead vehicle stopped (LVS), near-side (NSI), and lane-change related (CLH) crashes and posed suggestions for ways that autonomous vehicle behaviors could be designed to mitigate injuries in crash-imminent scenarios. An analysis of lane change crashes utilizing the NASS showed a risk of AIS 2+ injury to many body regions. The analysis of CIREN showed that lane change accidents may escalate into more chaotic crashes with secondary impacts. Autonomous vehicles may be able to perceive and process their environment faster than their human driver. Autonomous control could therefore potentially mitigate driver over corrections and/or reduce secondary impacts, such as those shown here.
Format:

PDF
Funding:

DTRT13-G-UTC47
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:908cf88f9adedae3e0153165183a63aa32ca36fa33792836a77fc543b3791986
Download URL:

https://rosap.ntl.bts.gov/view/dot/38735/dot_38735_DS1.pdf
File Type:

No Additional Files

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Bioinjury Implications of Pre-crash Safety Modeling and Intervention Investigators

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