Research Article
Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow
Table 5
Error metrics for the ensemble learning methods and the most accurate base model.
| Time horizon | Model | Road | RMSE | MAPE |
| Mid-term | RF | Tehran to Saveh | 775 | 27.14 | Saveh to Tehran | 729 | 21.23 | Max | Tehran to Saveh | 687 | 35.20 | Saveh to Tehran | 578 | 21.92 | Min | Tehran to Saveh | 1054 | 33.09 | Saveh to Tehran | 1386 | 42.49 | Bagged simple averaging | Tehran to Saveh | 705 | 27.03 | Saveh to Tehran | 868 | 26.96 | Bagged weighted averaging | Tehran to Saveh | 683 | 26.62 | Saveh to Tehran | 832 | 26.05 | XGBoost | Tehran to Saveh | 607 | 24.59 | Saveh to Tehran | 521 | 20.48 | Short-term | RF | Tehran to Saveh | 453 | 16.61 | Saveh to Tehran | 535 | 15.25 | Max | Tehran to Saveh | 696 | 41.03 | Saveh to Tehran | 639 | 26.46 | Min | Tehran to Saveh | 957 | 30.74 | Saveh to Tehran | 1214 | 35.79 | Bagged simple averaging | Tehran to Saveh | 638 | 26.86 | Saveh to Tehran | 748 | 24.52 | Bagged weighted averaging | Tehran to Saveh | 595 | 26.11 | Saveh to Tehran | 683 | 22.57 | XGBoost | Tehran to Saveh | 386 | 14.07 | Saveh to Tehran | 453 | 14.61 |
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