拉伊达准则在交通调查数据处理中的应用

Application of Pauta Criterion in Traffic Survey Data Processing

文章针对交通调查统计数据的特点,介绍了拉伊达准则、格拉布斯准则、迪克逊准则三种常用的异常值剔除方法,并对拉伊达准则运算步骤做了推导简化;分析了这三种常见的异常值剔除方法的特点及适用范围,并通过一组居民日出行次数数据,比较了三者判别的差异;采用拉伊达准则,对浙江省城乡客运百公里配车数数据进行了应用分析,得出了较好的判别结果。

According to the characteristics of traffic survey statistics data,this article introduced three commonly used outlier removing methods of Pauta Criterion,Grubbs Criterion and Dixon Criterion,and conducted the derivation simplification on the operation steps of Pauta Criterion;analyzed the features and application scope of these three common outlier removing methods,and through a group of resi-dent daily travel times data,it compared the difference among these three discrimination;Pauta Criteri-on was adopted to conduct the application analysis on vehicle number data every one hundred kilome-ters of urban and rural passenger transit in Zhejiang,then the better discrimination result was obtained.