Accurate estimation of truck emissions is crucial for atmospheric research and public health. This study introduces TrackATruck, a full-sample enumeration approach using big data from vehicle trajectories to improve emission inventories. Analyzing 19 billion trajectories, the study reveals substantial emission discrepancies between different estimation methods, highlighting the importance of high-resolution data for accurate spatial and temporal emission characterization. The impact of policies like low emission zones is also examined, demonstrating the need for comprehensive emission control strategies.
