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地铁调度界面的人因数据采集试验设计

Experimental Design of Human Data Acquisition on Metro Dispatching Interface
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摘要 为了获取地铁人因失误数据进而有效预防地铁人因事故,提出使用模拟机采集地铁工作人员人因失误数据的方法,并以地铁调度系统为例验证该方法的有效性。依据行车调度系统及其任务的特点,采用visual C#软件设计某地铁线ATS(列车自动监控)系统工作站主界面,并选取20名经过训练的研究生作为试验对象,设定6种不同的试验情景和具体操作步骤,通过模拟操作获取人因失误数据。数据统计结果表明,菜单栏操作的失误率低于右键点击操作的失误率,"查找停站超时列车"情景的人因失误率最高。此结论可为调度方案的优化提供参考。 In order to obtain the human error data in metro and prevent human error accidents effectively, a method to collect the error data of metro staff by using the simulator is proposed, and the metro train dispatching system is taken as an example to verify the effectiveness of the method. According to the characteristics of the traffic dispatching system and tasks, visual C# software is used to design the main interface of ATS system workstation for a certain line, twenty trained graduate students are selected as the experimental objects, for whom six different scenarios and specific operation steps are set up to obtain the human error data. The result of data statistics shows that the menu bar operation error rate is lower than that of the right click, while the "find the timeout stop train" scenario makes the most errors. The experimental results provide references for the optimization of scheduling plans.
作者 王洁 程颖 郭隽 郭晓宏 WANG Jie;CHENG Ying;GUO Jun;GUO Xiaohong(School of Safety and Environmental Engineering, Capital University of Economics and Trade, 100070, Beijing, China)
出处 《城市轨道交通研究》 北大核心 2019年第4期12-14,26,共4页 Urban Mass Transit
基金 国家自然科学基金项目(71401110) 北京市教委科技一般项目(KM201610038002)
关键词 城市轨道交通 行车调度 人因失误 数据采集 urban rail transit traffic dispatching human error data collection
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  • 1Stephen Reinach. Preliminary development of a railroad dispatcher taskload assessment tool: Identification of dispatcher tasks and data collection methods[R]. U.S. Department of Transportation, Federal Railroad Administration, 2007.
  • 2Ryan B, Wilson J R, Sharpies S, et al. Developing a rail ergonomics questionnaire (REQUEST)[J]. Applied Ergonom- ics, 2009, 40(2) : 216 -229.
  • 3Read G J, Lenne M G, Moss S A. Associations between task training and social environmental factors and error types involved in rail incidents and accidents[J]. Accident Analysis & Prevention, 2012, 48(4):416 -422.
  • 4Jensen F V. An introduction to Bayesian networks[M]. London : UCI, Press, 1996 : 15 - 26.
  • 5Sentz K, Ferson S. Combination of evidence in Dempster-Shafer theory[M]. Albuquerque, New Mexico: Sandia National Laboratories, 2002: 32 -45.
  • 6Embrey D E, Humphreys P C , Rosa E A, et al. SLIM-MAUD : An approach to assessing human error probabilities using structured expert judgement[R]. US Nuclear Regulatory Commission,1984.
  • 7Huw Gibson. Railway action reliability assessment user manual: A technique for the quantification of human error in the rail industry[R]. Rail Safety and Standards Board Ltd. , 2006.
  • 8刘莉,徐浩军,井凤玲,孙作.基于贝叶斯网络的飞行安全人因可靠性评估模型[J].空军工程大学学报(自然科学版),2009,10(3):5-9. 被引量:14
  • 9李鹏程,陈国华,张力,肖东生.一种整合组织因素的人因可靠性分析方法[J].核动力工程,2010,31(4):82-86. 被引量:7
  • 10侯政良,杨自春,初珠立.基于贝叶斯网络的船舶人因安全性评估模型[J].船舶工程,2011,33(1):78-81. 被引量:9

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