A Safety Assessment Method Based on a Risk Analysis of an Urban Rail Transit Signaling System in Operation

CICTP 2014 ◽  
2014 ◽  
Author(s):  
Yi Yu ◽  
Qing Luo ◽  
Qidong Wu ◽  
Yawei Li
2014 ◽  
Vol 513-517 ◽  
pp. 3958-3963 ◽  
Author(s):  
Bo Gao ◽  
Ling Xi Zhu ◽  
Xue Mei Xiao

Based on the multi-source information fusion and complex network theory, through studying the effective matching and integration of safety equipment and spatial information of urban rail transit network operation, a safety assessment model is proposed: through equipment fusion and the node fusion, the global safety parameter is obtained, which is accurate in description and evaluation of urban rail transit operating than the partial safety factors and realize the transform from microscopic description to macroscopic description.


2015 ◽  
Vol 730 ◽  
pp. 327-330 ◽  
Author(s):  
Zhi Da Jiao ◽  
Chun Hui Gan

Based on the operation and management of station, the research was mainly about the risk assessment method of the crowd crushing and tramping accidents in urban rail transit stations. The indicator system about the crowd crushing and tramping accidents in urban rail transit station was established. The C2R model of data envelopment analysis (DEA) was used in the risk assessment, and the model was solved with MATLAB programming. The result of the analysis is generally consistent with the actual situation.


2018 ◽  
Vol 173 ◽  
pp. 02021
Author(s):  
Kai Guo ◽  
Jingsheng Gao ◽  
Junneng Ye ◽  
Dexin Yi ◽  
Song Kong ◽  
...  

This paper presented a methodology to assess the operation safety of the urban rail transit system by using the generalized regression neural network. By comparing the evaluated values with the graded scores of the experts, the results indicated that predictions by using the generalized regression neural network only have 5.38% averaged relative error compared with experts’ scores. Therefore, the GRNN was capable of evaluating and predicting the operation safety of the urban rail transit system.


2013 ◽  
Vol 139 (7) ◽  
pp. 728-737 ◽  
Author(s):  
Xiaomin Zhu ◽  
Runtong Zhang ◽  
Wei Dai ◽  
Zhaoqiang Zhang ◽  
Junyang Li

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