Title :
Modeling and prediction of highway traffic flow based on wavelet neural network
Author :
Dong-Mei Li ; Bin Liu
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
The features of highway traffic flow are analyzed. The modeling scheme to predict highway traffic flow is proposed according to these features. The formulas for training wavelet neural network are deduced after the researches on learning process of wavelet neural network. The training algorithm and procedure for wavelet neural network are designed. The prediction model of highway traffic flow based on wavelet neural network is established. The model parameters are adjusted to achieve a good prediction result The prediction result is tested by using actual traffic flow data. The result shows that the wavelet neural network can predict the highway traffic flow accurately.
Keywords :
learning (artificial intelligence); road traffic; traffic engineering computing; wavelet neural nets; highway traffic flow analysis; highway traffic flow modeling; highway traffic flow prediction; model parameter adjustment; wavelet neural network training; Abstracts; Barium; Neurons; Predictive models; Road transportation; Highway traffic flow; Prediction model; Traffic system; Wavelet neural network;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009690