Research Article
High-Speed Data-Driven Methodology for Real-Time Traffic Flow Predictions: Practical Applications of ITS
Table 1
Summary of the analysis results.
| Model | Performance measures | MAPE | MRPE | SDRPE | RMSE | Data usage (%) |
| SKNN | 6.17 | 0.36 | 8.13 | 25.84 | 100.00 | KNN-S2S | 6.16 | 0.36 | 8.10 | 25.79 | 1.34 | 0.07 | 0.00 | 0.19 | | 0.38 | KNN-D | 6.63 | 0.57 | 8.80 | 28.89 | 12.85 | 3.51 | 0.29 | 4.72 | | | KNN-U | 6.37 | | 8.43 | 26.24 | 22.52 | 1.68 | | 2.36 | | | KNN-UD | 6.37 | | 8.43 | 26.24 | 22.61 | 1.68 | | 2.36 | | |
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Note. Measures between elements of SKNN and that of a compared model, and data usage in the case of one-year data. |