Research Article
Smoothing Strategies Combined with ARIMA and Neural Networks to Improve the Forecasting of Traffic Accidents
Table 4
Pitman’s correlation (Corr) for pairwise comparison six models at 5% of significance and the critical value 0.2219.
| Models | M1 | M2 | M3 | M4 | M5 | M6 |
| M1 HSVD-ARIMA | — | −0.9146 | −0.9931 | −0.9983 | −0.9994 | −0.9993 | M2 MA-ARIMA | — | — | −0.8676 | −0.9648 | −0.9895 | −0.9887 | M3 HSVD-ANN-PSO | — | — | — | −0.6645 | −0.8521 | −0.8216 | M4 HSVD-ANN-RPRO | — | — | — | — | −0.5129 | −0.4458 | M5 ANN-RPROP | — | — | — | — | — | 0.1623 | M6 MA-ANN-PSO | — | — | — | — | — | — |
|
|