DocumentCode
2025455
Title
A method coupling fuzzy algorithm and Bayesian network for calculation of operation risk of major highway infrastructure
Author
Guo, Zhongyin ; Chen, Fujian ; Wang, Xiaofei
Author_Institution
Sch. of Transp. Eng., Tongji Univ., Shanghai, China
Volume
3
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
1095
Lastpage
1100
Abstract
Disastrous and traffic incidents have serious impact on the operation risk of major highway infrastructure, and risk calculation method is the basis for its safety management decision. Based on analysis of safety factors of major highway infrastructure, a combined method coupling fuzzy algorithm and Bayesian network is presented to calculate its operation risk under various events, in which fuzzy algorithm is used to calculate the operation risk of management units, and Bayesian network to deal with the risk relationship between management units. The method can comprehensively deal with various complicated relationship between safety factors of major infrastructure, and rationally reflect its subjective and objective safety. Furthermore, it can conduct forward reasoning in risk prediction and backward reasoning in cause or cause-effect network diagnosis, thus suitable for constructing safety management system for major highway infrastructures. Finally, a case study of Hangzhou Bay Bridge was illustrated for application of the presented method.
Keywords
belief networks; fuzzy set theory; risk analysis; risk management; road accidents; road safety; road traffic; roads; Bayesian network; Hangzhou Bay Bridge; disastrous incidents; fuzzy algorithm; highway infrastructure; management units; operation risk; reasoning; risk calculation method; risk prediction; safety factors; safety management decision; traffic incidents; Bayesian methods; Bridges; Monitoring; Reliability; Roads; Safety; Bayesian Network; Fuzzy algorithm; Major Highway Infrastructure; Operation Risk;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569176
Filename
5569176
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