Fault Tree and Fuzzy D-S Evidential Reasoning combined approach: An application in railway dangerous goods transportation system accident analysis

被引：53

作者：

Huang, Wencheng ^{[1
,2
,3
]}

Liu, Yuankai ^{[1
,2
]}

Zhang, Yue ^{[1
,2
]}

Zhang, Rui ^{[1
,2
]}

Xu, Minhao ^{[1
,2
]}

De Dieu, Gatesi Jean ^{[1
,2
]}

Antwi, Eric ^{[4
]}

Shuai, Bin ^{[1
,2
]}

机构：

[1] Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 611756, Sichuan, Peoples R China

[2] Southwest Jiaotong Univ, Natl United Engn Lab Intergrated & Intelligent Tr, Chengdu 611756, Sichuan, Peoples R China

[3] Southwest Jiaotong Univ, Natl Engn Lab Integrated Transportat Big Data App, Chengdu 611756, Sichuan, Peoples R China

[4] Minist Rd & Highways, POB M57, Accra, Ghana

来源：

INFORMATION SCIENCES | 2020年 / 520卷

基金：

中国国家自然科学基金;

关键词：

Railway dangerous goods transportation system; Accident analysis; Fault Tree; Fuzzy D-S Evidential Reasoning; Fuzzy Belief Structure; RISK-ASSESSMENT; CAUSATION MODEL; WATER SECURITY; INFORMATION; PERFORMANCE; FRAMEWORK; NETWORK;

D O I：

10.1016/j.ins.2019.12.089

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to manage the railway dangerous goods transportation system (RDNGTS) successfully, an explicit and effective previous accident analysis and accident control approach is essential and necessary. In this study a Fault Tree and Fuzzy D-S Evidential Reasoning combined approach is proposed to analyze the RDNGTS accident, which can solve the uncertainty modeling and information fusion problems existing in RDNGTS accident analysis. The approach has six steps: (i) identify causes of accident and calculate their weights based on Fault Tree, (ii) establish the Fuzzy Belief Structure model of causes of accident, (iii) handle initial qualitative and quantitative data, (iv) fuse the pre-processing data based on Fuzzy D-S Evidential Reasoning algorithm, (v) allocate Confidence Level of fuzzy intersection and, (vi) rank the final Fuzzy Belief Structure of each component based on trapezoidal fuzzy numbers and triangular fuzzy numbers. A historical lithium battery railway transportation accident happened in 2016 in China is applied as the background to examine the approach mentioned in this paper. The results show that professional skills and attitudes of transportation staffs are the weakest component in this lithium battery railway transportation accident. Managers of RDNGTS in China should pay more attentions to the professional skills and attitudes of transportation staffs. Some measures such as improve the awareness of safety and protection, train and examine the professional skills of transportation staffs, may be helpful in curbing the negligent working attitude of transportation staffs. Furthermore, the results also show that D-S Evidential Reasoning could provide a unified modeling framework for uncertain, incomplete, inaccurate and even ignorant information. It could solve the limitations in probability reasoning processes effectively. (c) 2020 Elsevier Inc. All rights reserved.

引用

页码：117 / 129

页数：13

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