A Supplemental Analysis of Selected Two-Vehicle Front-to-Rear Collisions from the NASS/CDS
Society of Automotive Engineering (SAE)
2013
- 1,075Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage1,075
- Downloads852
- Abstract Views223
Article Description
The National Automotive Sampling System/Crashworthiness Database System (NASS/CDS) is a well-known digital repository containing statistics on hundreds of thousands of vehicle crashes that occurred over the past 30 years. Many of the NASS crashes contain estimates of Delta-v calculated using WinSMASH, a common software reconstruction package. Recent work indicates that WinSMASH typically underestimates Delta-v in frontal impacts, and that inclusion of restitution significantly improves the estimate of Delta-v to within 1% of the value recorded on EDR-equipped vehicles [1]. Prior experiments have shown that in front-to-rear collisions, restitution is a strong inverse function of closing velocity (the difference between the respective pre-impact speeds in the bullet and target vehicles) [2], with calculated restitutions ranging from 0.265 down to 0.0 for closing speeds varying from 11.4 mph to as high as 36 mph. This work uses front-to-rear impact data from the NASS/CDS to examine the effect of coefficient of restitution on calculated Delta-v values for both the bullet and target vehicles. The WinSMASH-based values of Delta-v and dissipated energy contained in the NASS/CDS were compared to Delta-v values computed using traditional analytical (energy and momentum) equations. With restitution set equal to zero, the mean value of the calculated values of Delta-v (for bullet and target vehicles) ranged between −1.76 and 1.47 percent of the values contained in the NASS/CDS. However, including values of restitution computed iteratively using pre-impact closing velocity increased the computed values of Delta-v for both bullet and target vehicles by an average of 10.38 - 13.17 percent over those provided (in the absence of restitution) by the NASS/CDS. In addition, it was found that small errors in reported values of vehicle mass or dissipated energy (2% - 10%) produced similar or smaller percentage variations in calculated Delta-v values for both the bullet and target vehicles.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know