Qingyuan Shang

Papers

Total Citations

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About

Qingyuan Shang is a researcher focused on advancing railway signaling systems through automation and rigorous testing methodologies. Their key contributions lie in improving the safety, efficiency, and reliability of Communication-Based Train Control (CBTC) systems, which are critical for modern urban rail transit. Shang’s most notable work, "Research on Automated Testing Method of Railway Signaling System" (2020), addresses longstanding challenges in manual CBTC testing—such as low quality, long cycles, and inefficiency—by proposing an automated testing framework based on Robot Framework. Using the temporary speed restriction initialization scenario as a case study, this research demonstrates a complete, replicable process from scenario design to automated execution, significantly enhancing testing accuracy and speed. While the paper has garnered 2 citations, its practical implications for reducing human error and accelerating system validation in railway operations underscore its importance. Shang’s work contributes to the broader goal of digitalizing and automating safety-critical infrastructure, offering a scalable solution that can be adapted to various signaling scenarios. This research is particularly valuable for engineers and researchers seeking to modernize railway testing protocols, ensuring both operational efficiency and passenger safety.