Sha Wang

Papers

Total Citations

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About

Sha Wang is a researcher specializing in railway signaling systems, with a particular focus on automated testing methodologies for Communication-Based Train Control (CBTC) systems. Her most notable contribution addresses critical inefficiencies in manual CBTC testing—namely low quality, long cycles, and poor efficiency—by proposing an automated testing method leveraging the Robot Framework. Using the temporary speed restriction initialization scenario as a case study, she demonstrated how automation can streamline the entire testing process, from scenario requirements to execution. While her work has garnered limited citations to date, its practical implications for improving the reliability and speed of railway signaling validation are significant, especially as urban rail transit systems increasingly demand higher safety and operational efficiency. Wang’s research bridges the gap between software testing frameworks and domain-specific railway engineering challenges, offering a replicable model for automating complex signaling tests. Her work is particularly relevant for researchers and engineers seeking to reduce human error and accelerate deployment cycles in safety-critical transportation systems.