Interval Prediction of Annual Average Daily Traffic on Local Roads via Quantile Random Forest with High-Dimensional Spatial Data
This research introduces a Quantile Random Forest framework leveraging high-dimensional spatial data to predict traffic intervals with calibrated uncertainty...