Systematic Method for Identifying Safety and Security Requirements in Autonomous Driving: Case Study of Autonomous Intersection System

This paper presents a systematic methodology for identifying and integrating safety and security requirements in autonomous driving systems, demonstrated through the case of an autonomous intersection. The study focuses on modeling the intelligent intersection using the MBSE Grid Framework, the SysML modeling language, and the Cameo Systems Modeler tool. Two specific use cases are modeled to illustrate the system’s functionality. A multidisciplinary approach is developed to incorporate safety and security requirements into the system model, combining theoretical foundations with practical implementation techniques. The methodology includes both a generalizable framework and domain-specific strategies tailored to autonomous driving. The proposed approach is applied and critically evaluated using the intelligent intersection as a case study. By extending SysML to systematically address safety and security concerns, the work contributes to the development of safer and more efficient autonomous transportation systems. The results provide a foundation for future research and practical applications in the field of intelligent mobility and cyber–physical systems.