Traffic flow forecasting algorithm research based on chaos theory

被引：0
|
作者：
Chen, Yonghong [1 ]
Zhao, Jiyin [2 ]
Juan, Deng [3 ]
机构：
[1] Chongqing Normal Univ, Dept Comp & Math, Chongqing 400047, Peoples R China
[2] Jilin Univ, Coll Commun, Changchun 130022, Jilin, Peoples R China
[3] Chongqing Univ, Coll Econ & Business Adm, Chongqing 400044, Peoples R China
来源：
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年
关键词：
chaos; add-weight local prediction; traffic flow; blending algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Traffic flow prediction is one of important problem in ITS. Now there are many kinds of algorithm which are based on accuracy and real-time of prediction. In this paper, based on local and add-weight local prediction method of chaos time series, a new kind of prediction algorithm is presented by mix together with their advantage. A unified prediction model can be used for traffic flow forecasting, practical for both condition of local and add-weight local prediction method, but the complexity is not high. Results in experiments shows that it is high accuracy and can be used in traffic flow forecasting.
引用
收藏
页码：8616 / +
页数：3
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