Model-Based Safety Analysis of Movement Authority Scenario in TcCBTC system

• Published in: Journal of physics. Conference series Vol. 2246; no. 1; pp. 12077 - 12083
• Main Authors: Lin, Junting, Min, Xiaoqin, Chai, Jinchuan
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.04.2022
• Subjects: Algorithms; Automata theory; Communications systems; Physics; Safety; Statistical models
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2246/1/012077

Abstract Train-centric communication based train control (TcCBTC) system contains a variety of uncertain factors in the operation process, and the generation scenario of movement authority is a real-time process. In order to judge the impact of uncertain factors on system safety, it is necessary to conduct formal modeling and analysis for this implementation process. Aiming at the modeling and analysis of the system in an uncertain environment, firstly, the implementation process of TcCBTC movement authority was analyzed, and the hazard source identification is carried out by combining the hazard and operability study (HAZOP) method. Secondly, the movement authority generation process is modeled based on the stochastic hybrid automata theory, and the statistical sample data are simulated in UPPAAL-SMC. Finally, the statistical model checking algorithm was used to analyze the model quantitatively. The results showed that the model could meet the functional attribute requirements of movement authority generation in TcCBTC system, and describe the uncertain environment in the process of system operation. SMC method could quickly verify the impact of uncertain factors on the system, and provide a certain theoretical basis for subsequent TcCBTC system development and relevant specifications.