交通运输工程与信息学报2017，Vol.15Issue(3)：78-83,6.DOI:10.3969/j.issn.1672-4747.2017.03.011
基于贝叶斯网络的高速铁路行车调度指挥人因可靠性研究
A Study on Human Reliability of High Speed Railway Traffic Dispatching Command Based on Bayesian Network
摘要
Abstract
High speed railway traffic control system is the core component in the whole high-speed rail transportation system. Although it has implemented the automatic dispatching workflow, railway management still has to involve personnel intervention, especially in unexpected disruptions such as equipment breakdown, extreme weather, etc. This study applies the human-error-concept model and Bayesian-network-analysis method to analyze the human error data of Chengdu Railway Bureau, and find the main reliability issues of personnel dispatching. The results show that the following factors such as"the allocation of personnel","available working time" and"personnel training" have significant impacts on traffic dispatching reliability.The proposed method is validated to be applicable to efficiently identify human reliability factors in high speed railway traffic dispatching.关键词
贝叶斯网络/人因可靠性/高速铁路/行车调度Key words
Bayesian network/human reliability/high speed railway/traffic control分类
交通工程引用本文复制引用
刘珊珊,薛锋..基于贝叶斯网络的高速铁路行车调度指挥人因可靠性研究[J].交通运输工程与信息学报,2017,15(3):78-83,6.基金项目
国家自然科学基金(61203175,61403022) （61203175,61403022）
中央高校基本科研业务费专项资金项目(2682013CX068,2682016CX118). （2682013CX068,2682016CX118）
