• DocumentCode
    1798409
  • 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
  • Volume
    2
  • fYear
    2014
  • fDate
    13-16 July 2014
  • Firstpage
    675
  • Lastpage
    679
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
  • Conference_Location
    Lanzhou
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4799-4216-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2014.7009690
  • Filename
    7009690