Literature DB >> 33385965

A method of railway system safety analysis based on cusp catastrophe model.

Yangpeng Wang1, Shun Yee Micheal Liu2, Lokhin Cho3, Kangkuen Lee4, Hwayaw Tam5.   

Abstract

For rail transit systems, safety is one of the most important goals that need to be guaranteed. We build a method of railway system safety analysis based on the cusp catastrophe model. This method describes the continuous changing process of railway system safety and considers the emergent property of safety. This method solves the problem that the outputs of most static analysis methods of railway system safety do not have continuity and avoids the complex analysis process and heavy computation burden brought by using some dynamic models such as state transition models. The quantitative case study of the continuous changing process of system safety in the evolution process of the Yong-Wen railway accident shows that the visualized outputs obtained by using this method are consistent with the actual situation. This method has the potential to be applied in the real-time monitoring of railway system safety and the early warning of train accidents.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  Cusp catastrophe model; Railway system; Safety analysis

Mesh:

Year:  2020        PMID: 33385965     DOI: 10.1016/j.aap.2020.105935

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

Review 1.  Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review.

Authors:  Camilo Laiton-Bonadiez; John W Branch-Bedoya; Julian Zapata-Cortes; Edwin Paipa-Sanabria; Martin Arango-Serna
Journal:  Sensors (Basel)       Date:  2022-03-24       Impact factor: 3.576

  1 in total

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