A Short-term Traffic Flow Prediction Method Based on Wavelet Analysis and Neural Network

被引：0
|
作者：
Chai Yanchong [1 ]
Huang Darong [1 ]
Zhao Ling [1 ]
机构：
[1] Chongqing Jiaotong Univ, Coll Informat Sci & Engn, Chongqing 400074, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
Wavelet Analysis; Neural Network; Traffic Flow; Prediction Model;
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：
A short-term traffic flow predicting mode is discussed based on the wavelet analysis and neural network. First, the basis theory of Mallat wavelet and BP neural network are introduced in detail. Secondly, a short-term traffic flow predicting model is constructed combining with Mallat wavelet and BP neural network. Meanwhile, the evaluating criterion of the prediction model is given according to the features of traffic data. Thus, the error structure of the constructed forecasting model is analyzed. Finally, the effectiveness of the short-term traffic predicting model is verified by using Chengdu-Chongqing high-speed detection information.
引用
收藏
页码：7030 / 7034
页数：5
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