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National Automotive Sampling System (NASS) Crashworthiness Data Subsystem Analytical User's Manual: 1991 File.
| 题名： | National Automotive Sampling System (NASS) Crashworthiness Data Subsystem Analytical User's Manual: 1991 File. |
| 关键词： | ashworth；national；system；manual；tomo；sampl；data；nass；collection；user |
| 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). The NASS CDS provides an automated, comprehensive national traffic crash data base. Data collection began in 1979 in 10 geographic sites, called Primary Sampling Units (PSU's). Data are weighted to represent all policereported 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 two automated formats: a sequential data set or a Statistical Analysis System (SAS) data set in a formatted or unformatted version. These records contain photographic images, scene diagrams, and vehicle damage diagrams. The Statistical Analysis System (SAS) is a highly flexible statistical package that provides, in addition to an excellent array of statistical procedures, a high level programming language for creating and modifying data and producing reports, a statistical programmimg language for efficient matrix manipulation, and data management facilities. This data management capability gives the knowledgeable user many of the features of the relational database model without the high overhead typically associated with database systems. This manual and the NASS 1991 Data Collection, Coding and Editing Manual Crashworthiness Data Subsystem 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. |
| 报告类型： | 科技报告 |
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