Chapter
Apr 26, 2012
Research on Risk Assessment Model in Waters Adjoining Bridge Based on Bayesian Network
Authors: Xing Yang [email protected], Lei Cheng, Ming Huang, and Kezhong Liu [email protected]Author Affiliations
Publication: ICTIS 2011: Multimodal Approach to Sustained Transportation System Development: Information, Technology, Implementation
Abstract
This study analyzes the applicability of Bayesian Network in risk assessment. A model about risk assessment in waters adjoining bridge has been developed based on Bayesian Network. Navigational risk factors cause accidents of Ship-bridge collisions which are determined by statistical analyzing of existing accidents data combined with the expertise and are modeled by Bayesian Network. Taking Sutong Bridge as an example, the study analyzes the risk status there and gets the probability of Ship-bridge collisions by calculation. The result indicates that the main causes of Ship-bridge collisions are Negligence, disoperation and bad meteorological condition.
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© 2011 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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School of Navigation, Wuhan University of Technology, Heping road 1040#, Wuhan, Hubei, P. R. China,430063.E-mail: [email protected]
Lei Cheng
School of Navigation, Wuhan University of Technology, Heping road 1040#, Wuhan, Hubei, P. R. China,430063
Ming Huang
School of Navigation, Wuhan University of Technology, Heping road 1040#, Wuhan, Hubei, P. R. China,430063
School of Navigation, Wuhan University of Technology, Heping road 1040#, Wuhan, Hubei, P. R. China,430063; and Intelligent Transport System Research Center, Wuhan University of Technology, Heping road 1040#, Wuhan, Hubei, P. R. China, 430063.E-mail: [email protected]
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