2020
DOI: 10.1080/15389588.2020.1798942
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Expansion of NASS/CDS for characterizing run-off-road crashes

Abstract: Objective: Runoff road (ROR) crashes account for one-third of all annual crash fatalities in the US. The National Automotive Sampling System Crashworthiness Data System (NASS/CDS) is a dataset which may be used to understand the nature of ROR crashes. Despite the wealth of coded data available in NASS/CDS, this dataset lacks coded information about the roadside environment and the off-road trajectory of the vehicle. This information would be useful for determining lane departure warning (LDW) benefits, residua… Show more

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Cited by 3 publications
(6 citation statements)
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“…NASS/CDS provides detailed data on vehicles and occupant injuries but contains very little information on the roadside or roadside hardware. NCHRP 17-43 data augment the NASS/CDS data by providing coded roadside information ( 13 ). Each crash in the NASS/CDS has a case weight that, when applied to the entire dataset, makes the results nationally representative.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…NASS/CDS provides detailed data on vehicles and occupant injuries but contains very little information on the roadside or roadside hardware. NCHRP 17-43 data augment the NASS/CDS data by providing coded roadside information ( 13 ). Each crash in the NASS/CDS has a case weight that, when applied to the entire dataset, makes the results nationally representative.…”
Section: Methodsmentioning
confidence: 99%
“…Each crash in the NASS/CDS has a case weight that, when applied to the entire dataset, makes the results nationally representative. The impact speed and departure speed of the NCHRP 17-43 cases were reconstructed utilizing the delta-v computed by NHTSA with the WinSMASH software and an energy-based methodology ( 13, 25 ).…”
Section: Methodsmentioning
confidence: 99%
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“…The National Cooperative Highway Research Program (NCHRP) 247 used crash data along similar lengths of roadway to estimate encroachment modification factors for clear zones (11). This in-depth crash data collection for the improvement of roadside design has been completed in Europe (12,13) and in the U.S. (14,15). These datasets are incredibly useful but, by nature, they can only contain encroachments that resulted in a crash.…”
Section: Comparison With Previous Workmentioning
confidence: 99%