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作 者:程学庆[1,2] 唐于[1] 崔朝晖 邢颖[1] 侯方正 CHENG Xue-qing TANG Yu CUI Zhao-hui XING Ying HOU Fang-zheng(School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, China Shanxi Jinyun Modern Logistics Co. Ltd., Taiyuan 030013, China)
机构地区:[1]西南交通大学,交通运输与物流学院,成都610031 [2]西南交通大学,综合交通运输智能化国家地方联合工程实验室,成都610031 [3]山西晋云现代物流有限公司,太原030013
出 处:《交通运输工程与信息学报》2017年第3期26-34,共9页Journal of Transportation Engineering and Information
基 金:国家重点研发计划课题:基于大数据和云计算的交通基础设施网络风险防范与应急保障技术(2016YFC0802209);中国铁路总公司科技研究开发计划重点课题:高速铁路设备运管修一体化模式及安全评价技术研究(2014D001.B)
摘 要:以非正常情况下高速铁路行车调度应急指挥典型案例为基础,分析了高速铁路行车调度系统的"人-机-环-管理"结构。针对实际案例,运用WBS-RBS风险辨识法对高速铁路行车调度应急处置过程的风险源进行辨识。在此基础上,归纳分析应急处置过程中的人、机、环、管理四个方面的风险因素,并提出相应对策。实践证明WBS-RBS能够全面辨识高速铁路行车调度工作中存在的风险源,从而为高速铁路行车调度安全风险评估提供一个行之有效的方法,并为安全风险防范奠定了基础。Based on a real-world case study of high-speed railway train dispatching emergency control,the so-called "man-machine-environment-management"system structure of high-speed railway traffic dispatching is analyzed. In this study, a Work Breakdown Structure-Risk Breakdown Structure(WBS-RBS)risk detection method is developed to identify the risk sources in the emergency case of high-speed railway train dispatching. This paper evaluates the factors of man, machine, environment and management which are involved in the risk sources, and proposes the corresponding countermeasures for these risk factors. The results validate that the proposed WBS-RBS method can entirely identify the risk sources of high-speed railway traffic dispatching. Consequently, it provides a useful method for the safety risk assessment of high-speed railway traffic control, and lays the foundation stone for the prevention of the traffic risks.
分 类 号:U298.1[交通运输工程—交通运输规划与管理]
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