Railway safety risk assessment using FRA and FAHP approaches - A case study on risk analysis of shunting at waterloo depot

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Colleges, School and Institutes

External organisations

  • School of Engineering (Civil Engineering)

Abstract

This article presents a new safety risk assessment methodology for conducting systematic safety risk assessment using fuzzy reasoning approach (FRA) and fuzzy analytical hierarchy process (FAHP). In this method, risk factors are described by frequency of occurrence (FO), consequence severity (CS) and risk level (RL) using linguistic variables. The proposed risk assessment method can evaluate both qualitative and quantitative risk data and information associated with railway operation efficiently and effectively. The outcomes of risk assessment are represented as the risk degrees and the defined risk categories of RLs with a belief of percentage, which provide very useful risk information to risk analysts, managers and engineers. This will provide safety managers with a method and tool to improve their safety management of railway systems and set safety standards. The developed intelligent railway safety risk prediction software system based on the proposed methodology is described in this paper. A case study of risk analysis of shunting at Waterloo depot is used to illustrate the application of the proposed methodology.

Details

Original languageEnglish
Title of host publication2007 2nd Institution of Engineering and Technology International Conference on System Safety
Publication statusPublished - 10 Dec 2007
Event2nd IET International Conference on System Safety 2007 - London, United Kingdom
Duration: 22 Oct 200724 Oct 2007

Conference

Conference2nd IET International Conference on System Safety 2007
CountryUnited Kingdom
CityLondon
Period22/10/0724/10/07

Keywords

  • Fuzzy analytical hierarchy process, Fuzzy reasoning approach, Risk assessment, Shunting at railway depot

ASJC Scopus subject areas