The traditional incident detection is based on time axis or site axis to judge the events by vertical or transverse analysis, which losing the relativity of the monitoring points and the time continuity of every detectors. In this paper, wavelet and neural network are used to analyze the testing data by their own features from vertical or transverse. Wavelet Multi_resolution Analysis is used to searching the data mutational sites in time domain, and the monitoring points data at the same moment are dealt with neural network. Based on the relationship between Wavelet transform coefficient and parameter change of traffic stream, and the Pattern Recognition of neural network, the precision of the accident detection is improved greatly.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    The Research of Freeway Incident Detection System Based on Wavelet and Neural Network


    Contributors:
    Yan, Jianhua (author) / Yu, Rende (author) / Zhang, Qi (author)

    Conference:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Publication date :

    2009-07-29




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    The Research of Freeway Incident Detection System Based on Wavelet and Neural Network

    Yan, J. / Yu, R. / Zhang, Q. et al. | British Library Conference Proceedings | 2009



    Freeway Incident Detection Research Based on Wavelet Analysis

    Wu, Y. / Yu, D. / China Communications and Transportation Association; Transportation & Development Institute (American Society of Civil Engineers) | British Library Conference Proceedings | 2007


    Freeway incident detection using hybrid fuzzy neural network

    Srinivasan, D. / Sanyal, S. / Sharma, V. | IET | 2007


    Freeway incident detection using hybrid fuzzy neural network

    Srinivasan, D. / Sanyal, S. / Sharma, V. | Tema Archive | 2007