Research Article
Multitime Resolution Hierarchical Attention-Based Recurrent Highway Networks for Taxi Demand Prediction
Table 2
Comparison with different baselines.
| Method | RMSE | MAPE (%) | MAE |
| HA | 116.89 | 38.9 | 81.90 | ARIMA | 76.24 | 39.4 | 55.92 | Ridge | 79.69 | 40.8 | 57.46 | Lasso | 79.75 | 41.0 | 57.51 | MLP | 66.02 | 21.5 | 45.59 | XGBoost | 65.63 | 18.0 | 44.28 | LSTM | 74.05 | 34.5 | 53.44 | Temporal view + spatial (neighbors) view | 60.13 | 19.5 | 42.49 | MTR-HRHN | 44.59 | 13.8 | 31.29 |
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