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Congestion incident and degree identification of urban expressway(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2010年03期
Page:
71-75
Research Field:
Publishing date:
2010-06-20

Info

Title:
Congestion incident and degree identification of urban expressway
Author(s):
LUO Xiao-qiang;  CHEN Kuan-min;  ZHANG Tong-fen
School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China
Keywords:
traffic engineering;  traffic incident;  occupancy;  wavelet packet decomposition;  energy distribution;  binomial distribution
PACS:
U491.1
DOI:
-
Abstract:
This paper is to present an automatic identification method for congestion related incident with wavelet packet decomposition and reconstruction by its high-resolution ability in noise reduction and time-frequency analysis. Moreover, the congestion degree and its occurring likelihood are measured from integral and binomial distribution perspectives to analyze the time effect of congestion. In a case study, the occupancy data as well as other variables is simulated and recorded by VISSIM along a section of urban expressway. Then, the 4-layer decomposition result highlights there exists obvious mutation in energy distribution signal and congestion position is identified. The application example proves that these proposed methods have simple working principle and make in-time response to congestion quickly and effectively, which provides a useful tool for real time traffic management. 1 tab, 6 figs, 12 refs.

References:

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Memo

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Last Update: 2010-06-20