摘要
针对城市轨道交通车站值班员岗位道岔失表故障处置作业,构建THERP(人因失误率预测技术)和HCR(人员认知可靠性)模型,细化了道岔失表作业流程,开展了轨道交通标准化作业下人因失误量化分析。同时,基于贝叶斯估计模型,借助车站值班员作业仿真试验对先验分布函数的两个形状参数进行估计,验证了THERP+HCR模型的合理性。
Targeting the turnout loss of indication fault disposal operation of urban rail transit station attendant,the THERP(technology for human error rate prediction)and the HCR(human cognitive reliability)models are constructed.The operation process of turnout loss of indication is refined,and a quantitative analysis of human error under rail transit standardized operation is carried out.At the same time,based on Bayesian estimation model,the two shape parameters of prior distribution function are estimated by means of operation simulation test of station attendant,which verifies the rationality of the THERP+HCR model.
作者
陈宇
朱海燕
刘志钢
刘晓静
CHEN Yu;ZHU Haiyan;LIU Zhigang;LIU Xiaojing(School of Urban Railway Transportation,Shanghai University of Engineering Science,201620,Shanghai,China)
出处
《城市轨道交通研究》
北大核心
2023年第1期131-134,共4页
Urban Mass Transit
基金
国家自然科学基金项目(52072235)
“十三五”国家重点研发计划子课题(2017YFC0804900)。
关键词
城市轨道交通
车站
人因可靠性
道岔失表故障
urban rail transit
station
human factor reliability
turnout loss of indication fault
