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|Table of Contents|

道路交通事故黑点成因鉴别与改善对策(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2010年06期
Page:
157-160
Column:
研究简报
publishdate:
2010-11-30

Article Info:/Info

Title:
Formation cause identification and improvement of the road traffic accidents black spots
Author(s):
LIN Li ZHANG Yongqiang GAO Minjie
College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Keywords:
road safety traffic black spots cause analysis black spot identification
Classification number :
U491
DOI:
10.3969/j.jssn.1000-2006.2010.06.034
Document Code:
A
Abstract:
Effects of road, traffic, facilities and environment on road traffic safety were investigated for improving road safety and eliminating traffic black spots. On the basis of analysis cause identification methods about black spots, including fuzzy clustering, gray correlation analysis, and rough set, and its suitability, taking G104 line K2177—K2178 section for example, and screening disadvantages in road traffic, it was found that the main factor of black spot was the interfering of surrounding environment and the secondary factor is the lack of lighting facilities, and traffic infrastructures were taken to improve it. The results showed that: Fuzzy clustering was applied to handle black spots which had large accidents data, and gray correlation analysis method could be applied to deal with black spots of which the major factors had been determined, and rough set could be used to identify the causes of black spots with imperfect information.

References

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Last Update: 2010-12-27