Modeling and Analysis of Train Rear-End Collision Accidents Based on Stochastic Petri Nets

Chao Wu, Chengxuan Cao, Yahua Sun and Keping Li

Mathematical Problems in Engineering, 2015, vol. 2015, 1-9

Abstract:

We proposed a model of the train rear-end collision accidents based on stochastic Petri nets (SPN) theory. By isomorphic Markov chain model of the proposed accident model, we provide the quantitative analysis of the train rear-end collision accidents. Fuzzy random method is also applied to analyze the performance of the proposed model. In addition, according to the data extracted from a large amount of historical data of the accident statistics, we present a case analysis and discussion. It showed that the results of the proposed train rear-end accident model based on SPN are reasonable in practical applications and can be used to effectively analyze the accidents and prevent loss, and the results may be a reference to the department of railway safety management.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:602126

DOI: 10.1155/2015/602126

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