Method for Evaluation of Railway Dynamic Safety Based on 5M Model and Neural Network Algorithm

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volume 743)
• Pages: 445-449
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.743.445
• Online since: March 2015
• Authors: G. Wang, Xiao Qing Zeng, J. Li
• Keywords: 5M Model, BP Neural Network, Dynamic Safety Assessment

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