Performance Analysis of Bandung City Traffic Flow Classification with Machine Learning and Kriging Interpolation

This research focuses on making classification maps using the Classification And Regression Trees (CART), Random Forest and Ordinary Kriging methods. The dataset used is data from Area Traffic Control System (ATCS) of Bandung City Transportation Agency Google Maps application in April 2022. After obtained, then pre-processing process will be carried out CART learning models made, after complete. From models, traffic congestion map made ArcMap with interpolation method. results comparison Gaussian Model semivariogram both methods, namely Forest. With method has an accuracy up to 88% while 90%. proves that this study far superior building compared