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Jul 2, 2019
Risk Assessment Model of Expressway under Adverse Weather Based on Dynamic Bayes Network
Authors: Sulan Li [email protected], Xiedong Zhang [email protected], Hongwei Li [email protected], and Xiaoli Zhang [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
According to the results of risk source identification, this paper constructs the discrete DBN network structure by selecting the influential factors which have great influence on the expressway operation, then chooses timeliness as the evaluation index of dynamic DBN. Based on the discrete DBN network, this paper finally establishes a real-time expressway risk evaluation model. The validity of the above risk assessment model is demonstrated by examples.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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School of Transportation, Wuhan Univ. of Technology, Heping Rd. 1178#, Wuhan 430063, China. E-mail: [email protected]
School of Transportation, Wuhan Univ. of Technology, Heping Rd. 1178#, Wuhan 430063, China. E-mail: [email protected]
College of Civil and Transportation Engineering, Hohai Univ., Xi Kang Rd. 1#, Nanjing 210098, China. E-mail: [email protected]
College of Civil and Transportation Engineering, Hohai Univ., Xi Kang Rd. 1#, Nanjing 210098, China. E-mail: [email protected]
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