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Research on Abnormal Event Classification of Expressway Tunnel based on Security Control
Author(s) -
Jinglu Hu,
Zechao Zhang,
Qingqing Cao,
Shangwen Qu,
Ronghua Wang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2195/1/012004
Subject(s) - event (particle physics) , control (management) , security controls , perspective (graphical) , process (computing) , engineering , event tree analysis , computer science , transport engineering , fault tree analysis , reliability engineering , artificial intelligence , physics , quantum mechanics , operating system
Based on the perspective of tunnel traffic safety operation and control and the human, vehicle, road, and environment system in tunnel operation process, adopting event tree analysis method according to the different influencing factors, generation mechanism and performance characteristics of tunnel abnormal events, this research propose abnormal event classification tree diagram. According to the current abnormal event management and control mechanism in China, the administration departments and disposal facilities associated with different types of abnormal events in expressway tunnel operation are sorted out, which can provide decision-making support for the rapid treatment of abnormal events and realize intelligent control of tunnel.

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