Research Article
Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network
Table 3
Prediction result using BPNN model for different input data.
| Input Type | OD1 | OD2 | OD3 | OD4 | Mean | P | Mean | P | Mean | P | Mean | P |
| Group TY | MAPE | 0.118 | | 0.113 | | 0.130 | | 0.109 | | RMSE | 0.142 | 0.145 | 0.162 | 0.143 |
| Group SX | MAPE | 0.100 | 15.4% | 0.092 | 18.9% | 0.110 | 15.1% | 0.093 | 14.6% | RMSE | 0.122 | 14.1% | 0.116 | 19.7% | 0.135 | 16.6% | 0.131 | 8.9% |
| Group AX | MAPE | 0.102 | 13.8% | 0.089 | 22.8% | 0.115 | 11.2% | 0.092 | 15.6% | RMSE | 0.132 | 7.1% | 0.114 | 22.6% | 0.150 | 7.3% | 0.127 | 11.6% |
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