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,引入小波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。
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.
出处
《交通科技与经济》
2009年第6期44-46,共3页
Technology & Economy in Areas of Communications
关键词
车流速度
车流密度
建模
小波变换
去噪
traffic flow speed
traffic flow destiny
traffic flow destiny
wavelet transform
denoise
