TY - GEN
T1 - A Safety Analysis Method Based on STPA-FBN for Train Active Perception Systems
AU - Rui, Xizhi
AU - Zhao, Tingdi
AU - Chu, Jiayun
AU - Hao, Zhenkai
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Safety Risk Quantification for Rail Active Perception Systems Using STPA-FBN Analyzing Safety of the Intended Functionality (SOTIF) risks for Active Perception Systems (APS) in degraded train operation is challenging, especially under data scarcity. This study proposes an STPAFBN framework integrating System-Theoretic Process Analysis (STPA) and Fuzzy Bayesian Network (FBN). STPA systematically identifies unsafe control actions (UCAs) and causal factors within its control structure. FBN then models these causations, utilizing fuzzy logic to quantify expert judgments under data scarcity, and validating logical consistency of model. Sensitivity analysis based on Mutual Information identifies human-machine interaction flaws and perception capability limitations as the dominant risk contributors. The framework provides a validated quantitative tool for prioritizing SOTIF risk controls within rail active perception technology.
AB - Safety Risk Quantification for Rail Active Perception Systems Using STPA-FBN Analyzing Safety of the Intended Functionality (SOTIF) risks for Active Perception Systems (APS) in degraded train operation is challenging, especially under data scarcity. This study proposes an STPAFBN framework integrating System-Theoretic Process Analysis (STPA) and Fuzzy Bayesian Network (FBN). STPA systematically identifies unsafe control actions (UCAs) and causal factors within its control structure. FBN then models these causations, utilizing fuzzy logic to quantify expert judgments under data scarcity, and validating logical consistency of model. Sensitivity analysis based on Mutual Information identifies human-machine interaction flaws and perception capability limitations as the dominant risk contributors. The framework provides a validated quantitative tool for prioritizing SOTIF risk controls within rail active perception technology.
KW - Active Perception Systems
KW - Fuzzy Bayesian Network
KW - SOTIF
KW - System-Theoretic Process Analysis
UR - https://www.scopus.com/pages/publications/105030117267
U2 - 10.1109/ICRMS65480.2025.00067
DO - 10.1109/ICRMS65480.2025.00067
M3 - 会议稿件
AN - SCOPUS:105030117267
T3 - Proceedings - 2025 16th International Conference on Reliability, Maintainability and Safety, ICRMS 2025
SP - 353
EP - 358
BT - Proceedings - 2025 16th International Conference on Reliability, Maintainability and Safety, ICRMS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Conference on Reliability, Maintainability and Safety, ICRMS 2025
Y2 - 27 July 2025 through 30 July 2025
ER -