• DocumentCode
    154713
  • Title

    Hybrid causal methodology in quantitative risk assessment for the on-board ATP of high speed railway

  • Author

    Dewang Ren ; Wei Zheng ; Daohua Wu

  • Author_Institution
    Nat. Eng. Res. Center of Rail Transp. Oper. & Control Syst., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    1577
  • Lastpage
    1582
  • Abstract
    This paper presents a quantitative risk assessment method based on the use of hybrid causal logic in the socio-technical system, the influence in the technological aspects is analyzed as well as in the operational aspects. Different modeling techniques and analyzing methods are applied in this paper aiming at different angles in the socio-technical system. Event tree and fault tree are used to identify the deterministic causal paths between components, the non-deterministic causal relationships (especially focusing on the impact of human factors and organization) are determined with Bayesian network (BN) (combining with evidence theory) and ω method. This paper has two objectives: One is that the hybrid causal framework for high-speed railway on-board ATP equipment is presented to assess risks quantitatively. The other is that the influence of non-deterministic factors (human factors and organization) in ATP equipment is analyzed combining with BNs, ω method and evidence theory.
  • Keywords
    belief networks; fault trees; formal logic; railway engineering; risk management; ω method; BN; Bayesian network; event tree; evidence theory; fault tree; high speed railway; hybrid causal logic; hybrid causal methodology; modeling techniques; nondeterministic causal relationships; on-board ATP equipment; operational aspects; quantitative risk assessment; socio-technical system; technological aspects; Accidents; Circuit faults; Fault trees; Organizations; Reliability; Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6957918
  • Filename
    6957918