首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于小波变换的交通流速度-密度关系分析
引用本文:马钧,张卫华,黄志鹏.基于小波变换的交通流速度-密度关系分析[J].交通科技与经济,2009,11(6):44-46.
作者姓名:马钧  张卫华  黄志鹏
作者单位:合肥工业大学交通研究所,安徽合肥230009
摘    要:车流速度和密度是交通流理论研究的重要参数,而小波变换是一种信号分析工具,它可以将信号进行去噪分析。基于通过调查获得的速度和密度数据构成交通流特征信号,引入小渡变换方法对交通流特征信号进行去噪,并运用典型特征构建速度与密度关系曲线,对其进行分析并与小波变换前原有速度与密度关系曲线进行对比。为更加清楚地观察三参数与时间变化的关系,以及三参数之间的相互关系提供了有效方法。

关 键 词:车流速度  车流密度  建模  小波变换  去噪

The Relationship Research Between Traffic Flow Speed and Density Based on Wavelet Transform
MA Jun,ZHANG Wei-hua,HUANG Zhi-peng.The Relationship Research Between Traffic Flow Speed and Density Based on Wavelet Transform[J].Technology & Economy in Areas of Communications,2009,11(6):44-46.
Authors:MA Jun  ZHANG Wei-hua  HUANG Zhi-peng
Institution:(Institute of Transportation Engineering, Hefei University of Technology, Hefei 230009, China)
Abstract:Traffic flow speed and destiny are both important parameter in the traffic flow theory research, and wavelet transform is a kind of signal analysis tool which may denoise and analyze the signal. Based on the traffic flow characteristic signals which are composed of speed and destiny in the survey, Wavelet transform method was used to denoise traffic flow characteristic signals and then the speed-density curve was constructed through typical characteristics in this paper, the curve was analyzed and compared with the original curve which is before Wavelet transform. A kind of efficiency method was provided which observes three-parameter variations with time and three-parameter correlation.
Keywords:traffic flow speed  traffic flow destiny  traffic flow destiny  wavelet transform  denoise
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号