Fuzzy logic based security region evaluation of the urban rail transit operating system

Xinwang Liu, Xiuzhi Sang, Yong Qin
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引用次数: 1

Abstract

In the process of urban rail transit system operation, various factors may interact with each other and cause accidents. The complexity and uncertainty of the urban rail transit operating system make fuzzy logic method become an efficient tool to deal with the security information. The paper attempts to combine fuzzy logic based information process method with the security region method to solve the security problems in urban rail transit system. Based on the research of information aggregation, fuzzy decision making, and the current results of security region research, the paper proposes a new solution to the security region control and its management. The main points include: the security region information collection, information fusion and aggregation methods with multiple source of the rail transit security regions, fuzzy logic based the urban rail transit security region decision and control, and the simulation of these theoretical models. It will provide theoretical support for the urban rail transit security region decision and control, and also promote the management level of the Chinese urban rail transit operating system.
基于模糊逻辑的城市轨道交通运营系统安全区域评价
在城市轨道交通系统运行过程中,各种因素可能相互作用,导致事故的发生。城市轨道交通运行系统的复杂性和不确定性使得模糊逻辑方法成为处理安全信息的有效工具。本文试图将基于模糊逻辑的信息处理方法与安全区域方法相结合,解决城市轨道交通系统的安全问题。本文在对信息聚合、模糊决策研究的基础上,结合安全区域研究现状,提出了安全区域控制与管理的新方案。重点包括:安全区域信息采集、多源轨道交通安全区域信息融合与聚合方法、基于模糊逻辑的城市轨道交通安全区域决策与控制,以及这些理论模型的仿真。为城市轨道交通安全区域决策与控制提供理论支持,提升我国城市轨道交通运营系统的管理水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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