Research Article
A Comparative Study of Parking Occupancy Prediction Methods considering Parking Type and Parking Scale
Table 2
Forecasting results of the four parks with FM1.
| Model | Parking lot | RMSE | MAE |
| LR | PL1 | 87.4 | 64.3 | PL2 | 12.2 | 8.9 | PL3 | 34.5 | 31.9 | PL4 | 32.1 | 23.0 |
| ARIMA | PL1 | 136.0 | 97.0 | PL2 | 19.7 | 17.0 | PL3 | 27.3 | 21.7 | PL4 | 23.4 | 18.3 |
| NN | PL1 | 89.0 | 63.9 | PL2 | 13.3 | 10.4 | PL3 | 35.7 | 32.8 | PL4 | 35.4 | 25.3 |
| SVM | PL1 | 84.3 | 59.6 | PL2 | 8.4 | 6.2 | PL3 | 18.8 | 15.6 | PL4 | 23.3 | 17.9 |
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Note. LR indicates linear regression. NN indicates backpropagation neural network.
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