Research Article
Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms
Table 2
Diebold–Mariano test statistic for each pair of models for predicting volume.
| | 0.5 min | 5 min | 15 min | ANN | RF | SVR | ANN | RF | SVR | ANN | RF | SVR |
| 0.5 min | ANN | — | 36.88 | 12.69 | −54.59 | 23.10 | −19.35 | −71.81 | −17.20 | −38.30 | RF | −36.88 | — | −27.87 | −69.47 | −11.95 | −50.30 | −94.20 | −44.32 | −63.09 | SVR | −12.69 | 27.87 | — | −65.29 | 14.55 | −52.00 | −92.40 | −31.63 | −62.36 |
| 5 min | ANN | 54.59 | 69.47 | 65.29 | — | 71.18 | 48.64 | −11.23 | 43.96 | 25.76 | RF | −23.10 | 11.95 | −14.55 | −71.18 | — | −50.28 | −100.1 | −45.49 | −66.02 | SVR | 19.35 | 50.30 | 52.00 | −48.64 | 50.28 | — | −79.88 | 0.49 | −57.11 |
| 15 min | ANN | 71.81 | 94.20 | 92.40 | 11.23 | 100.1 | 79.88 | — | 68.62 | 51.22 | RF | 17.20 | 44.32 | 31.63 | −43.96 | 45.49 | −0.49 | −68.62 | — | −29.18 | SVR | 38.30 | 63.09 | 62.36 | −25.76 | 66.02 | 57.11 | −51.22 | 29.18 | — |
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Critical value: ; numbers in boldface indicate pairs of models that are not significantly different. |