Journal of Advanced Transportation / 2020 / Article / Tab 7 / Research Article
Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms Table 7 Comparison of feature selection methods; traffic volume predictions under all conditions with
input data; given a constrained number of features, in most cases, the RFE method achieves better performance compared to random and correlation-based feature selection.
Model Features Accuracy RMSE MAE Correlation Random RFE Correlation Random RFE Correlation Random RFE ANN 10 0.864 0.853 0.863 40.5 47.0 42.2 27.9 32.7 29.1 20 0.880 0.850 0.878 37.7 46.2 34.7 25.7 32.9 24.8 40 0.891 0.866 0.896 35.4 39.5 31.2 24.3 28.0 21.7 60 0.893 0.877 0.900 35.5 36.9 29.0 23.8 26.5 20.8 80 0.893 0.881 0.905 35.2 36.6 26.9 23.7 25.5 19.3 100 0.894 0.896 0.905 34.9 30.8 27.5 23.5 21.9 19.6 120 0.894 0.885 0.904 34.6 33.8 29.0 23.3 23.9 20.4 140 0.889 0.889 0.900 35.4 33.1 28.7 23.8 23.6 20.3 160 0.897 0.879 0.902 33.1 37.6 29.6 22.5 26.3 20.5 180 0.898 0.884 0.896 32.7 34.3 31.4 22.3 24.4 21.7 RF 10 0.871 0.841 0.886 39.9 49.6 34.6 27.5 34.5 24.2 20 0.880 0.847 0.897 37.5 45.0 30.4 25.9 32.6 21.5 40 0.886 0.875 0.902 36.1 36.2 28.3 24.7 25.9 20.1 60 0.891 0.882 0.903 35.1 35.0 28.3 23.7 24.9 20.1 80 0.892 0.866 0.904 35.0 36.0 28.0 23.5 25.5 19.9 100 0.893 0.886 0.905 34.8 33.7 27.7 23.3 24.2 19.7 120 0.894 0.885 0.905 34.7 34.6 27.8 23.2 24.5 19.8 140 0.894 0.890 0.905 34.7 32.8 27.7 23.2 23.3 19.7 160 0.894 0.883 0.905 34.7 33.7 27.7 23.2 24.2 19.7 180 0.895 0.890 0.905 34.6 32.9 27.7 23.1 23.4 19.7 SVR 10 0.859 0.758 0.867 41.6 76.2 38.3 29.2 51.3 27.5 20 0.870 0.843 0.882 40.1 55.5 33.7 27.8 36.4 24.4 40 0.877 0.850 0.895 38.4 47.8 30.9 26.5 33.1 22.2 60 0.881 0.854 0.895 37.8 49.7 32.1 25.7 34.2 22.7 80 0.885 0.879 0.897 37.5 38.2 31.5 25.2 26.5 22.3 100 0.886 0.876 0.896 37.4 38.2 32.1 24.9 26.9 22.6 120 0.887 0.869 0.896 37.6 42.4 31.8 25.1 29.6 22.4 140 0.887 0.878 0.897 37.7 38.9 31.6 25.1 26.9 22.3 160 0.887 0.878 0.896 37.7 38.7 31.7 25.1 27.0 22.3 180 0.887 0.878 0.897 37.8 38.8 31.4 25.1 27.1 22.1