Real Urban Traffic Flow Chaotic Phase Space Study

被引:1
作者
Zhang, L. D. [1 ]
Wang, Y. L. [1 ]
Sun, Zh. Q. [1 ]
Pan, J. Sh. [1 ]
机构
[1] Shandong Acad Sci, Shandong Comp Sci Ctr, Jinan 250014, Peoples R China
来源
PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS | 2008年
关键词
ITS; chaotic traffic flow; chaos phase space; embedding delay time; embedding dimension; auto-correlation function; G-P algorithm; CAO algorithm;
D O I
10.1109/ITSC.2008.4732547
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Phase space reconstruction is the base of chaotic traffic flow prediction. To determine objectively the embedding delay time: and embedding dimension m of real urban traffic flow time series chaotic phase space, we put forward a new kind of average calculation method. Far delay time value, we first calculated its value of single day with auto-correlation and improved auto-correlation function, then we averaged seven clays' values to degrade error. As to embedding dimension, we studied it with G-P algorithm are CAO algorithm respectively on base of data processing. Last, the method's feasibility was tested by analyzing the chaotic characteristics of Ji'nan city traffic flow and the reference parameters wire offered, i.e. tau=14 and m=4.
引用
收藏
页码:875 / 879
页数:5
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