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MEASURING STATES' ALIGNMENT TO THE MODEL MINIMUM UNIFORM CRASH CRITERIA (MMUCC) 5TH EDITION

机译:测量状态对模型最小统一崩溃标准(MMUCC)第5版的对齐

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In 1998, the National Highway Traffic Safety Administration (NHTSA) and the Governors Highway Safety Association (GHSA) developed the Model Minimum Uniform Crash Criteria (MMUCC), a voluntary guideline to encourage greater crash data uniformity by identifying a minimum set of motor vehicle crash data elements and attributes that States should collect and include in their State crash data system. NHTSA relies on State crash data for the Fatality Analysis Reporting System (FARS). FARS is a nationwide census providing NHTSA, Congress, and the American public yearly data regarding fatal injuries suffered in motor vehicle traffic crashes. States have implemented MMUCC differently, often combining or deleting attributes, which causes problems with data uniformity when attempting to aggregate data across States. The purpose of this paper is to describe methods used to measure States' alignment to MMUCC 5th Edition, examine the variance of States' crash data to MMUCC data elements, and describe how NHTSA will use the results of this analysis to inform future editions of MMUCC with the goal of improving the quality of FARS data.
机译:1998年,国家公路交通安全管理局(NHTSA)和州长公路安全协会(GHSA)制定了模型最低统一崩溃标准(MMUCC),通过确定最小机动车崩溃,鼓励更大的碰撞数据均匀性的自愿指南状态元素和状态应在其州崩溃数据系统中收集并包含在内。 NHTSA依赖于死亡分析报告系统(FARS)的国家崩溃数据。 FARS是一个全国范围的人口普查,提供NHTSA,国会,以及美国公共年度数据,关于机动车交通崩溃所遭受的致命伤害。各种各种不同的方式实现了MMUCC,通常组合或删除属性,这在尝试跨越状态的数据时引起数据均匀性的问题。本文的目的是描述用于测量状态对MMUCC第5版的对齐的方法,将状态崩溃数据的差异视为MMUCC数据元素,并描述NHTSA如何使用该分析的结果来告知未来版本的MMUCC版本通过提高FARS数据质量的目标。

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