By Topic

Risk analysis of highway traffic safety based on connection number and triangular fuzzy numbers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wang Mingwu ; Sch. of Civil Eng., Hefei Univ. of Technol., Hefei, China ; Chen Guangying

The risk analysis of highway traffic safety is a uncertainty system problem. Based on the theory of set pair analysis, stochastic simulation of triangular fuzzy numbers, herein a risk analysis model for the highway traffic safety was discussed. A concept of multi-element connection number of the set pair, which was consisted of evaluation index sets and classification standard sets of the highway traffic safety, was described to depict the hierarchy and fuzziness of membership between the evaluation sample and classification standard. Moreover, the triangular fuzzy number simulated by means of stochastic simulation was used to express the changing process and fuzziness of component coefficients of discrepancy degree. Combined with the weight of evaluation index, the integrated connection number was calculated to analyze the risk grade of highway traffic safety of the sample. The reliability of evaluation grade of traffic safety was also given. Finally, a practical example was described to confirm and to compare with the attribute evaluation method and the extension method. The results show that the proposed model is more feasible and easy to operate, and the result is good. It can make full use of the uncertainty information of evaluation index and grade classification standard for the highway traffic safety, and resolve the difficulties of traditional operations of triangular fuzzy numbers and their functions.

Published in:

Mechanic Automation and Control Engineering (MACE), 2010 International Conference on

Date of Conference:

26-28 June 2010