ST-GIN: An Uncertainty Quantification Approach in Traffic Data

Traffic data serves as a fundamental component in both research and applications within intelligent transportation systems. However, real-world transportation data, collected from loop detectors or similar sources, often contains missing values (MV), which can adversely impact associated applications and research.