Modeling and Analysis of Train Rear-End Collision Accidents Based on Stochastic Petri Nets
作者: Chao WuChengxuan CaoYahua SunKeping LiZhiwu Li
作者单位: 1State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
刊名: Mathematical Problems in Engineering, 2015, Vol.2015
来源数据库: Hindawi Journal
DOI: 10.1155/2015/602126
原始语种摘要: 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.
全文获取路径: Hindawi 

  • proposed 建议的
  • reference 基准电压源
  • according 按照
  • safety 安全
  • Analysis 分析
  • department 
  • statistics 统计
  • model 模型
  • Petri 百丽<培脱利>牌照相机
  • provide 规定