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FREEWAY INCIDENT DETECTION RESEARCH BASED ON WAVELET ANALYSI...

FREEWAY INCIDENT DETECTION RESEARCH BASED ON WAVELET ANALYSIS

作     者:WU-Yihu and YU-Dan College of Traffic and Transportation, Changsha University of Science and Technology, China ST 410076 

会议名称:《第一届交通运输工程国际学术会议》

会议日期:2007年

学科分类:03[法学] 08[工学] 0838[工学-公安技术] 0306[法学-公安学] 

关 键 词:freeway incident detection wavelet analysis singular point catastrophe improved algorithm 

摘      要:The paper analyses the characteristic of traffic flow on freeway. Then a freeway incident detection method based on observing the amplitude curve of wavelet coefficient is advanced, whose key model is fitted between flow and time-occupy ratio in the form of bifurcation equation in order to magnify the characteristic of singular point by wavelet transform, with an improved Newto-Core Numerical Integral Method concerning the characteristic of Marr wavelet function as its key. At the end of this paper, a series of traffic flow data surveyed on Guangzhou-Foshan Freeway is used to testify the superiority of this new method.

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