A two-stage safety analysis model for railway level crossing surveillance systems

In many circumstances, the application of safety analysis tools may not give satisfactory results because the safety-related data are incomplete or there is a high level of uncertainty involved in the safety-related data. This paper presented a two-stage safety analysis model for railway level crossing surveillance systems by using fuzzy Petri nets, fault tree analysis and Markov model. An empirical study is also conducted to assess safety status of the most feasible level crossing surveillance system for Taiwan Railway Administration.