Journal:Journal of the Franklin Institute

Abstract: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)

Co-author:黄思雨,陈浩然,郭霖瀚,陈骁,刘维

First Author:杨懿

Indexed by:Development research

Correspondence Author:文美林

First-Level Discipline:Control Science and Engineering

Document Type:J

Volume:in press

ISSN No.:00160032

Translation or Not:no

CN No.:null

Date of Publication:2021-05-23

Included Journals:SCI

Links to published journals:https://www-sciencedirect-com-s.vpn.buaa.edu.cn:8118/science/article/pii/S001600322100288X

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