The article compares different methods for predicting traffic growth, focusing on how outliers can affect accuracy. By analyzing historical traffic data from thousands of sites in New York, researchers found that robust regression techniques outperformed standard regression and outlier detection methods in predicting future traffic growth. Specifically, the robust regression technique produced significantly better results when all sites were equally weighted.