Bioinjury Implications of Pre-crash Safety Modeling and Intervention Investigators
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2018-09-30
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TRIS Online Accession Number:01690131
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Edition:Final Report
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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.
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