首页> 美国政府科技报告 >National Automotive Sampling System (NASS) Crashworthiness Data Subsystem Analytical User's Manual: 2010 File
【24h】

National Automotive Sampling System (NASS) Crashworthiness Data Subsystem Analytical User's Manual: 2010 File

机译:National automotive sampling system(Nass)耐撞性数据子系统分析用户手册:2010文件

获取原文

摘要

The National Automotive Sampling System (NASS) Crashworthiness Data System (CDS) is a nationwide crash data collection program sponsored by the U.S. Department of Transportation. It is operated by the National Center for Statistics and Analysis (NCSA) of the National Highway Traffic Safety Administration (NHTSA). NASS began data collection in 1979. The NASS program was re-evaluated in the mid-1980's. This re-evaluation resulted in changes, which were implemented by NHTSA in January 1988. NASS now has two major operating components: (1) the General Estimates System (GES) which collects data on a sample of all police-reported motor vehicle traffic crash reports; and (2) the Crashworthiness Data System (CDS) which collects additional detailed information on a sample of all police-reported light-motor vehicle traffic crashes. The NASS CDS provides an automated, comprehensive national traffic crash database. Data collection is accomplished at 24 geographic sites, called Primary Sampling Units (PSU's). These data are weighted to represent all police reported motor vehicle crashes occurring in the USA during the year involving passenger cars, light trucks and vans that were towed due to damage. The NASS CDS file is available in a Statistical Analysis System (SAS) data set. Hard copy data collection records, sanitized to protect privacy, are available for review through data collection year 1996. An electronic version of these records is available beginning with data collection year 1997. These records contain photographic images, scene diagrams, and vehicle damage diagrams. This manual and the NASS 2010 Crashworthiness Data System's Data Collection, Coding and Editing Manual are the primary documentation supporting the automated file. When using this file one should be careful to understand the coding conventions of all variables used thoroughly.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号