Belief Reliability Analysis of Traffic Network: An Uncertain Percolation Semi-Markov Model
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发表刊物:Journal of the Franklin Institute
摘要:Traffic reliability is a crucial property of the transportation system, showing its ability to resist traffic jams or collapse. Traditional traffic reliability analysis only considers stochastic uncertainty but neglects epistemic uncertainty, which widely exists in the traffic network and leads to an underestimation of traffic failure. In this paper, we introduce uncertainty theory to model epistemic uncertainty, thereby developing a belief reliability analysis method for transportation systems based on the traffic performance margin. We established an uncertain percolation semi Markov (UPSM)
合写作者:黄思雨,陈浩然,郭霖瀚,陈骁,刘维
第一作者:杨懿
论文类型:开发研究
通讯作者:文美林
一级学科:控制科学与工程
文献类型:期刊
卷号:in press
ISSN号:00160032
是否译文:否
CN号:null
发表时间:2021-05-23
收录刊物:SCI
发布期刊链接:
https://www-sciencedirect-com-s.vpn.buaa.edu.cn:8118/science/article/pii/S001600322100288X