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Based on Wavelet Analysis—Fuzzy Neural Network Real Time Traffic Flow Prediction

  • Tian Fu
  • Zhen Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 422)

Abstract

This paper analyses the advantages and disadvantages of Prediction Model of wavelet analysis and fuzzy neural network model in real-time traffic prediction, proposes the traffic flow forecasting model based on wavelet analysis and fuzzy neural networks, uses the frequency components of the model of traffic flow time series for forecasting and finally induces the forecast results. Finally, it verifies the effectiveness of traffic simulation data validation model.

Keywords

Wavelet analysis Fuzzy neural network Component ANFIS Forecast model 

Notes

Acknowledgement

This work was supported by Hainan Natural Science Foundation of China (No. 617172).

References

  1. 1.
    Fangce Guo, Polak J.W. Comparison of modelling approaches for short term traffic prediction under normal and abnormal conditions[C]. 13th Intelligent Transportation Systems (ITSC) International IEEE Conference 2010. Funchal, Portugal: Conference Publications. 2010: 1209–1214.Google Scholar
  2. 2.
    ZHU Zhong. YANG Zhao-sheng. A real time traffic flowpredict ion model based on artificial neural network[J]. Journal of Highway and Transport, 1998, 11(4): 89–92.Google Scholar
  3. 3.
    YANG Ij—cai, JIA Lei. Rough neural network and itsapplication on the tFa.  ~ c flow forecasting[J]. Journal of Highway and Transportation Research and Development, 2004, 2l(10): 95–98.Google Scholar
  4. 4.
    Theja P.V.V.K. VanajakshiL. Short term prediction of traffic parameters using support vector machines technique[C]. 3rd Emerging Trends in Engineering and Technology (ICETET) International Conference 2010. Goa, India: Conference Publications. 2010: 70–75.Google Scholar
  5. 5.
    SUN Xiao-dian, CHEN Xue-mei. The optimization to the structure of a continuous wavelet neural network[J]. Journal of System Simulation, 2001, 27(8): 156–159.Google Scholar
  6. 6.
    LI Bing, JIANG Wei—sun. Chaos optimization and its applicationlJ J. Control Theory and Applications, 1997, 14(4): 613–615.Google Scholar
  7. 7.
    ISHAK S, AL—DEEK H. Performance evaluation of short—term time—series traffic prediction model[J]. Journal of Transportation Engineering, 2002, 28(6): 490–498.Google Scholar
  8. 8.
    Wusheng Hu, Yuanlin Liu, Li Li. The short-term traffic flow prediction based on neural network[C]. 2nd Future Computer and Communication (ICFCC) International Conference 2010. Wuhan, China: Conference Publications. 2010, 1: 293–296. Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Hainan College of Software TechnologyQionghaiChina

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