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Safety Analysis Based on Bayesian Network for CBTC System

Author: ShangZuo
Tutor: LiKaiCheng
School: Beijing Jiaotong University
Course: Traffic Information Engineering \u0026 Control
Keywords: Bayesian networks Scene Deviation Model Motivation - response Functional safety analysis
CLC: U284.48
Type: Master's thesis
Year: 2010
Downloads: 137
Quote: 1
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Abstract


Communication Based Train Control (CBTC) system is a complex operation control system , control functions of the train running through the organic combination of hardware and software to complete its failure mode polymorphism group in the urban rail transport non- independence of deviation function , as well as the timing and other characteristics of the pieces at the same time , the security of this system by the software controlling factors , human factors and indirect factors , difficulties makes the fault tree and event tree analysis method . Compared to the fault tree and event tree analysis , Bayesian networks on a solid mathematical foundation overcome polymorphism , non- independence , timing and other issues , intuitive way through probabilistic graphical representation of the system elements , and components dependencies between , having a bidirectional inference performance thus can be performed prior to predictive analysis and the diagnosis of the backward analysis. In this paper, the use of the advantages of Bayesian network , CBTC signaling system characteristics , the Bayesian network theory is applied to the CBTC the security analysis , system software problems , human factors and other uncertainties and Hardware uncertainty considering building a Bayesian network analysis model . Papers starting from the CBTC system functions , combined with a common functional analysis method and the Bayesian network 's basic theory , put forward by determining the system based on the scene graph Bayesian network security analysis methods ; goal of security considerations , negative goal detailed scene description of the objective function deviation incentive system specific scene - response model , that is negative in this scene scene description ; Bayesian network model based on the scene according to the negative scenes to build the Bayesian network mapping and deductive analysis of the secondary scene conditional probability value obtained major Bayesian network to propose appropriate measures to alleviate the negative goal ; based on Bayesian network diagnostic capabilities and network calculations ; final CBTC train safety interval function Bayesian network analysis , the analysis showed that , the train safety interval CBTC functionality to meet the security design requirements . Security analysis method based on the scene graph Bayesian network is not only applicable to the analysis of the CBTC train safety interval function also applies to the other features of the safety analysis of CBTC .

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CLC: > Transportation > Rail transport > Railway communication,signal > Railway signal > Section block and cab signal system > Train operation automation
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