Research Article
Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning
Table 6
Prediction results of WNN.
| Data name | Highway data | National and provincial highway data (month) | National and provincial highway data (quarter) | National and provincial highway data (year) |
| | 0.162 | 0.184 | 0.169 | 0.020 | MSE (%2) | 18.250 | 48.570 | 41.620 | 59.050 | RMSE (%) | 0.810 | 1.110 | 0.930 | 7.684 | ME (%) | 9.000 | 10.520 | 9.640 | 12.524 | MAE (%) | 5.480 | −3.790 | −5.710 | −9.324 | MAPE (%) | 0.079 | 0.069 | 0.073 | 9.413 | RMSPE (%) | 0.510 | 0.352 | 0.388 | 3.443 | Running time (s) | 0.484 | 1.219 | 0.563 | 1.656 |
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