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The evaluation method of road traffic safety based on the combined Principal Component Cluster analysis

机译:基于主成分聚类分析的道路交通安全评价方法

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On purpose of scientifically and reasonably evaluating the present state of traffic safety, the improved Principal Component analysis and Cluster analysis are combined and the deficiency of existence of negative variation coefficient in Principal Component analysis could be made up by value assignment analysis. First of all, the synthesis evaluation indicators system is constructed based on nine relative indicators such as mortality rate per ten thousand vehicles, injury rate per ten thousand vehicles, mortality rate per million people, injury rate per million people, crash frequency per mile, extra serious accident frequency per mile and so on, which could comprehensively reflect the safety of road traffic. Then, the data from the eastern provinces of China in 2009 are synthetically evaluated step by step as an example by applying the traditional and improved Principal Component analysis methods. Lastly, the evaluation results are compared and analyzed according to the differences between these two methods by the Cluster analysis method.
机译:为了科学合理地评价交通安全现状,结合了改进的主成分分析和聚类分析,通过赋值分析可以弥补主成分分析中负变异系数存在的不足。首先,综合评价指标体系是根据每万辆车的死亡率,每万辆车的伤害率,每百万人的死亡率,每百万人的伤害率,每英里的撞车频率,额外的九个相关指标构建的。每英里的严重事故频率等,可以全面反映道路交通的安全性。然后,以传统和改进的主成分分析方法为例,对中国东部省份2009年的数据进行了逐步综合评估,以示例为例。最后,通过聚类分析方法根据两种方法之间的差异对评估结果进行比较和分析。

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