Research on Scenario Testing Methods for Fully Automated Urban Rail Transit Systems

Abstract

This paper proposes a systematic scenario testing method for fully automated urban rail transit systems. The research constructs a comprehensive testing environment that includes a hardware-in-the-loop simulation platform and a software simulation environment, integrating digital twin technology to enhance testing accuracy. A model-based approach is utilized to generate test cases, designing diverse testing scenarios that cover normal operation, abnormal handling, and system integration. The test results indicate that this method effectively verifies the system's functionality, performance, and reliability. Key indicators such as control accuracy, response time, and fault recovery capability meet or exceed design requirements. The research outcomes provide an effective example for the development and verification of urban rail transit automation systems, significantly enhancing system safety and reliability.