城市道路交通系统频谱分析方法及应用

Spectrum Analysis Method and Its Application for Urban Road Traffic System

对实际道路交通系统特征的研究是通过分析布设在路网中不同地点大量交通信息采集设备采集的数据来进行的。交通信息采集是对城市道路交通系统在时间和空间上一个采样过程,其数据具有时间和空间属性。本文系统地建立了一种城市道路交通系统频谱分析方法。对于时间采样,通过功率谱分析认为:不同的数据采样间隔,获得的交通信息不同,从而分析出的交通系统特征也不同;对于空间采样,通过采样定理分析认为:可以利用交通信息采集的空间属性对交通系统特征的影响来指导检测器的布设。该方法对于解决城市道路交通信息系统中实际的交通信息采集问题提供了一个新的思路和方法。

The characteristics of a real road traffic system were researched by the realdetector＇s data, which collected from the detectors located in different spots in a road network. Traffic information collection is a sampling progress for a traffic system in the time and space. So, There are time and space attributes for the traffic data. To analyze these data, a spectrum analysis method was constructed. For time sampling, according to the power spectral density （PSD） analysis, different traffic information could be obtained based on the different sampling interval data, and the traffic system characteristics were different. For space sampling, according to the sampling theory, the traffic data space attributes could be used to set the detectors. Spectrum analysis method is a new way for solving traffic collection problems in urban road traffic system.