Chapter
Apr 26, 2012
Freeway Incident Detection Research Based on Wavelet Analysis
Authors: Yihu Wu [email protected] and Dan YuAuthor Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
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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© 2007 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Detection methods
- Engineering fundamentals
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Mathematical functions
- Mathematics
- Methodology (by type)
- Numerical methods
- Surveys (non-geomatic)
- Traffic accidents
- Traffic analysis
- Traffic engineering
- Traffic flow
- Traffic management
- Traffic surveys
- Transportation engineering
- Wavelets
Authors
Affiliations
College of Traffic and Transportation, Changsha University of Science and Technology, China; ST 410076. E-mail: [email protected]
Dan Yu
College of Traffic and Transportation, Changsha University of Science and Technology, China; ST 410076
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