Method for Evaluation of Railway Dynamic Safety based on 5M Model and Neural Network Algorithm
Traditional risk assessment methods,mainly static analysis,can’t anticipate the development trend and consequences of accidents.This paper firstly presents 5M safety model,combined with the characteristics of the rail transit safety assessment,including complexity,dynamic,ambiguity,etc.By using neural network algorithm,this paper proposes a method of railway safety dynamic assessment.Finally,the method is validated by comparing the output value of the model and the veritable value.The result indicated that it has advantages of real time and predictability.
Dynamic safety assessment 5M model BP Neural network
Wang Gang Zeng Xiaoqing Li Jian
Casco Signal Company Limited, Shanghai 200070, China School of Transportation Engineering, Tongji University, Shanghai 201804, China
国际会议
重庆
英文
445-449
2015-03-21（万方平台首次上网日期，不代表论文的发表时间）