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Improving railway safety risk assessment study

Chen, Yao (2013)
Ph.D. thesis, University of Birmingham.

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Abstract

Railway safety is very important, as it concerns human lives. Therefore identifying risks from possible failures is vital to maintain the safety of railways. Currently, many mature tools, such as fault tree analysis and event tree analysis, are applied to investigate possible risks to railway safety. However, in many circumstances, the applications of these tools are unable to provide satisfactory results when the risk data is incomplete or there is a high level of uncertainty involved in the risk dataThus it is essential to develop new methods to overcome the weakness of current assessment tools. This thesis introduces an improved intelligent system for risk analysis usingfuzzy reasoning approach (FRA) and improved fuzzy analytical hierarchy decision making process (Fuzzy-AHP), which is specially designed and developed for the railways, and able to deal with the uncertainty in risk assessment.

Type of Work:Ph.D. thesis.
Supervisor(s):An, Min
School/Faculty:Colleges (2008 onwards) > College of Engineering & Physical Sciences
Department:School of Civil Engineering
Subjects:TA Engineering (General). Civil engineering (General)
TF Railroad engineering and operation
Institution:University of Birmingham
ID Code:4465
This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder.
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