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基于非参数假设检验的高速公路车辆分类研究 被引量:2

Study on Vehicle Classification for Expressway Based on Non-parametric Hypothesis Testing
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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。 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.
出处 《公路交通科技》 CAS CSCD 北大核心 2010年第12期38-42,66,共6页 Journal of Highway and Transportation Research and Development
基金 交通部西部交通建设科技资助项目(200631800004)
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 road engineering vehicle classification non-parametric hypothesis testing axle load spectrum weighting data
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  • 1ARA. Guide for Mechanistic-Empirical Design, National Cooperative Highway Research Program 1-37A [ R ]. Washington: Transpiration Research Board, 2004.
  • 2胡萌.重载交通沥青路面分析及对策[D].南京:东南大学,2002:15-19.
  • 3杨永顺,韦金城.永久性沥青路面设计方法研究[R].济南:山东省交通科学研究所,2008:144-150.
  • 4赵延庆.江苏省高速公路轴载谱的调查研究[R].南京:江苏省交通科学研究院,2006:14-19.
  • 5MOON C R, ROSENFELD A. Performance Analysis of a Simple Vehicle Detection Algorithm [ J ]. Image and Vision Computing, 2002, 20 ( 1 ) : 1 - 13.
  • 6GAJDA J, SROKA R. Vehicle Classification by Parametric Identification of the Measured Signals [ C ] // Proceedings of XVI IMEKO World Congress. Vienna: IMEKO, 2000 : 199 - 204.
  • 7SING Y C, SINEM C, BARIS D, et al. Traffic Measurement and Vehicle Classification with Single Magnetic Sensor [ J ]. Transportation Research Record, 2005, 1917:173 - 181.
  • 8SUN C. An Investigation in the Use of Inductive Loop Signatures for Vehicle Classification [ R/OL ] [ 2010-03- 10 ]. 2000: 30 - 50. www. its. uci. edu/its/publications/... /UCI-ITS-TS-WP-00-1. pdf.
  • 9HARLOW C, PENG Shiquan. Automatic Vehicle Classification System with Range Sensors [ J ]. Transportation Research Part C: Emerging Technologies, 2001, 9 (4): 231-247.
  • 10RAD R, JAMZAD M. Real Time Classification and Tracking of Multiple Vehicles in Highways [ J ]. Pattern Recognition Letters, 2005, 26 (10) : 1597 - 1607.

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