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基于非参数假设检验的高速公路车辆分类研究
引用本文:杨若冲,黄晓明.基于非参数假设检验的高速公路车辆分类研究[J].公路交通科技,2010,27(12):38-42.
作者姓名:杨若冲  黄晓明
作者单位:东南大学,交通学院,江苏,南京,210096
基金项目:交通部西部交通建设科技资助项目(200631800004)
摘    要:为获得高速公路车辆分类的量化方法,根据典型测点的各车型轴载谱数据,归纳了高速公路的主要车型,并研究了高速公路车辆分类方法。采用2个独立样本的非参数假设检验,研究了客车与各型货车前轴及单后轴的称重数据是否来自同一总体,在此基础上,采用多个独立样本的非参数假设检验方法研究了各型货车间相同轴型的称重数据是否来自同一总体。研究表明,各型货车力学特性接近,属于同一大类型;而客车与货车的力学特性差异明显,因此可将客车与货车划分为两大类型。非参数假设检验方法为高速公路车辆划分提供了量化的依据。

关 键 词:道路工程  车辆分类  非参数假设检验  轴载谱  称重数据
收稿时间:2010-01-07

Study on Vehicle Classification for Expressway Based on Non-parametric Hypothesis Testing
YANG Ruochong,HUANG Xiaoming.Study on Vehicle Classification for Expressway Based on Non-parametric Hypothesis Testing[J].Journal of Highway and Transportation Research and Development,2010,27(12):38-42.
Authors:YANG Ruochong  HUANG Xiaoming
Institution:School of Transportation, Southeast University, Nanjing Jiangsu 210096, China
Abstract:In order to attain the quantitative method of vehicle classification for expressways, major vehicles were induced and method of vehicle classification for expressways was investigated based on load spectrum data of different axle types on typical observation sites. Weighting data of front axle  and single rear axle  of passenger cars and trucks were studied to verify whether the data come from the same population by non-parametric hypothesis testing method of two independent samples. Then, weighting data of same axle types of trucks were studied to verify whether the data come from the same population by non-parametric hypothesis testing method of several independent samples. The study indicates that (1) the mechanical properties of different types of trucks are almost identical, which can be used as the same classification;  (2) the mechanical properties of passenger cars and trucks have significant discrepancy, thus vehicles on expressways can be divided into passenger cars and trucks. Non-parametric hypothesis testing method provides the quantitative basis for vehicle classification for expressways.
Keywords:   road engineering  vehicle classification  non-parametric hypothesis testing  axle load spectrum  weighting data
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