Cascading failures simulation of road networks based on bayesian network inference

被引：0
|
作者：
Liu, Xin-Quan [1 ,2 ,3 ]
机构：
[1] Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Guangxi Teachers Education University, Nanning,530001, China
[2] Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation, Guangxi Teachers Education University, Nanning,530001, China
[3] College of Economics and Management, Guangxi Teachers Education University, Nanning,530001, China
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2015年 / 15卷 / 02期
关键词：
Inference engines - MATLAB - Complex networks - Roads and streets;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The characteristics of road networks cascading failures are studied to other complex networks. The evolution of mechanism and process of road networks cascading failures are studied by integrating travel prior experience and travel information based on Bayesian network inference. The Bayesian network structure of road network is generated by MATLAB program. The driver's perception of road properties change is learned based on the MATLAB program of Bayesian network parameter learning. We design the simulation algorithms and simulate the effects of different travel prior experiences and travel information by Bayesian network inference to the road network properties and cascading failures. The results show that Bayesian network inference can better reflect the quantitative impact of link choice on road network cascading failures. The research provides new idea and method for the study of cascading failures. Copyright ©2015 by Science Press.
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页码：210 / 215
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