Abstract
In the event of equipment failure, traffic accident, natural disaster and other abnormal situations, the timely emergency disposal of the traffic dispatcher is required. In order to accurately evaluate the human reliability of the high-speed railway traffic dispatcher in emergency scenarios, this paper proposes a reliability analysis method based on the Phoenix model. In order to eliminate the dependence of the traditional human reliability analysis method on expert experience, a quantification method based on multiple physiological signals is designed. This paper also gives a specific application of this method in the case of inbound signal machine failure. With this human reliability analysis method, the human reliability of the traffic dispatcher and the causative behavior with the highest probability of failure can be accurately calculated, which can provide a reference for the improvement of the emergency handling protocol.
Supported by the Fundamental Research Funds for the Central Universities (Science and technology leading talent team project) (2022JBXT003).
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Hu, L., Zheng, W. (2023). Research on the Reliability of High-Speed Railway Dispatching and Commanding Personnel with Multi Physiological Signals. In: Guiochet, J., Tonetta, S., Schoitsch, E., Roy, M., Bitsch, F. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops. SAFECOMP 2023. Lecture Notes in Computer Science, vol 14182. Springer, Cham. https://doi.org/10.1007/978-3-031-40953-0_19
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DOI: https://doi.org/10.1007/978-3-031-40953-0_19
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