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Freeway incident detection research based on wavelet analysis

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成果类型:
期刊论文、会议论文
作者:
Yihu Wu;Dan Yu
通讯作者:
Wu, Y.(w2309@163.com)
作者机构:
[Yihu Wu; Dan Yu] College of Traffic and Transportation, Changsha University of Science and Technology, China
ST 410076. E-mail:
ST 410076
[Yihu Wu] ST 410076. E-mail:
[Dan Yu] ST 410076
语种:
英文
期刊:
International Conference on Transportation Engineering 2007, ICTE 2007
年:
2012
页码:
2109-2114
会议名称:
First International Conference on Transportation Engineering
机构署名:
本校为第一机构
院系归属:
交通运输工程学院
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...

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