铁道科学与工程学报2016，Vol.13Issue(11)：2249-2255,7.
基于信息融合的地铁自动扶梯通道安全评价
Safety evaluation of metro escalator passageway based on information fusion
摘要
Abstract
In order to scientifically evaluate the safety status of the metro escalator passageway and integrate the u-nique properties of the subway escalator,the paper proposed to establish a comprehensive evaluation index system from 4 aspects of“equipment,passengers,the use of the environment,and safety management”.For the general safety evaluation method and the problem of the subjective influence,fuzzy comprehensive evaluation and probabi-listic neural network (PNN)were proposed to evaluate the security status of the primary evaluation.The member-ship function and the basic probability distribution function were obtained,and the reliability function of the secur-ity state level was obtained by transforming.The reliability fusion was then carried out by the Dempster-Shafer (D-S)evidence theory and the different method synthesis was obtained after the appraisal result.The results show that the method can effectively integrate the evaluation information obtained by different methods,and improve the accuracy of the evaluation.The method can be used as a macro decision tool for the safety management of the metro.关键词
自动扶梯/安全评价/模糊评价/概率神经网络/信息融合Key words
escalator/safety evaluation/fuzzy evaluation/probabilistic neural network/information fusion分类
交通工程引用本文复制引用
胡晓萍,李夏苗,黄音,齐杉,苟敏,赵杰群..基于信息融合的地铁自动扶梯通道安全评价[J].铁道科学与工程学报,2016,13(11):2249-2255,7.基金项目
国家自然科学基金资助项目 （）
