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Reliability Analysis of Train-centric Control System and CTCS-3 using PMS Modelling Method

  • Beijing Jiaotong University
  • Beihang University
  • Swansea University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The train-to-train (T2T) based Train-centric Control System (TcCS) is one promising advanced solution to save the life-cycle cost of the railway signalling system by reducing a large number of the ground equipment when compared to the widely used CTCS/ETCS system. However, the reliability performance influence for the transportation mission introduced by this new solution has never been studied. In order to address this problem, we built a reliability model of the whole transportation mission based on the Phase Mission Systems (PMS) modelling methodology. In this paper, the structure of both control systems is described first. Then the fault tree models in three phases of the whole mission under different control systems are constructed according to the railway signalling control principles. The numerical analysis is carried out based on the Binary Decision Diagram (BDD) calculation method, according to relevant reliability parameters of the basic equipment. The results under CTCS-3 and TcCS are then analysed and compared in each phase of the mission, which shows the reliability influence on the transportation mission under different control systems.

Original languageEnglish
Title of host publication2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages542-547
Number of pages6
ISBN (Electronic)9781665468800
DOIs
StatePublished - 2022
Event25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 - Macau, China
Duration: 8 Oct 202212 Oct 2022

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2022-October

Conference

Conference25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
Country/TerritoryChina
CityMacau
Period8/10/2212/10/22

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