Approximately 28% of road links in the HPMS dataset, representing 46% of roadway lanekilometers, lack MDV and HDV AADT data. To address this, we apply random forest regression (RFR) to estimate traffic volumes in data-deficient areas. RFR improves upon linear regression by capturing complex, nonlinear relationships in the data, providing more accurate estimates where traditional models fall short.