This study focuses on the automation of simulation testing and process optimization for urban rail transit signal systems. It presents advanced techniques for automated test script design, test data generation and management, as well as result analysis and report generation. Additionally, it explores optimization methods for test case design, adaptive parallel testing scheduling, and dynamic test resource allocation. Based on these innovative methods, a comprehensive automated simulation testing system has been designed and implemented, covering typical scenarios of the FAO's five major systems. The system significantly improves testing efficiency, accuracy, and resource utilization in practical applications, while demonstrating excellent scalability and adaptability. The research findings provide strong support for enhancing the reliability and safety of urban rail transit signal systems and hold significant importance for industry development.
Chen et al. (Thu,) studied this question.
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