From: ANN based short-term traffic flow forecasting in undivided two lane highway
Models | MSE | RMSE | MAE | RSE | RRSE | RAE | R2 |
---|---|---|---|---|---|---|---|
Random forest | 217.718 | 14.7553 | 10.9593 | 0.2284 | 0.4779 | 0.4400 | 0.7716 |
Regression tree | 388.380 | 19.7074 | 14.4908 | 0.4074 | 0.6383 | 0.5817 | 0.5926 |
SVM regression | 898.723 | 29.9787 | 23.3781 | 0.9428 | 0.9710 | 0.9385 | 0.0572 |
K nearest neighbors Regression (KNN) | 14.1294 | 3.7589 | 1.4239 | 0.0148 | 0.1217 | 0.0572 | 0.9852 |
Multiple linear regression | 305.536 | 17.4796 | 13.3072 | 0.3205 | 0.5661 | 0.5342 | 0.6795 |
BP neural network | 4.2848 | 2.06999 | 0.77114 | 0.09951 | 0.31546 | 0.16204 | 0.9962 |