摘要
以关联维数作为混沌判据,采用改进的替代数据法对采样周期为3 min的实测交通流时间序列进行了混沌判别,表明该时间序列的短期交通流中存在混沌现象。由于所采用的时间尺度更接近实际交通控制的最大周期,使得基于混沌理论的短期预测结果更适于实施交通控制和诱导。
In this paper,correlation dimension was used as the identification evidence,the improved surrogate-data technique was used for the identification of chaos in time series of the real traffic flow with sampling period of 3 minutes.The result indicates that there is chaos in the real short-time traffic flow of urban roadway.
出处
《山西交通科技》
2008年第4期62-64,共3页
Shanxi Science & Technology of Transportation
基金
山西省青年科技基金资助20051031
关键词
交通流
时间序列
替代数据法
关联维数
traffic flow
time series
surrogate-data technique
correlation dimension
