Research Article
Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network
Table 4
Prediction result using MLR model for different input data.
| Input Type | OD1 | OD2 | OD3 | OD4 | Result | P | Result | P | Result | P | Result | P |
| Group TY | MAPE | 0.213 | | 0.089 | | 0.194 | | 0.161 | | RMSE | 0.244 | 0.106 | 0.252 | 0.191 |
| Group SX | MAPE | 0.138 | 35.3% | 0.077 | 14.4% | 0.152 | 22.0% | 0.108 | 33.3% | RMSE | 0.151 | 38.0% | 0.098 | 7.1% | 0.173 | 31.6% | 0.134 | 29.7% |
| Group AX | MAPE | 0.175 | 17.8% | 0.110 | -22.8% | 0.179 | 7.7% | 0.151 | 6.5% | RMSE | 0.203 | 16.9% | 0.142 | -34.2% | 0.204 | 19.3% | 0.173 | 9.3% |
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