Research Article
The Use of a Machine Learning Method to Predict the Real-Time Link Travel Time of Open-Pit Trucks
Table 10
Prediction results after including meteorological data.
| Type | Road | Methods | Meteorological features | MAD | MAPE | MAPE decrease (no-yes)% |
| Temporary | B-E | RF | No | | | 6.30% | Yes | | | E-H | SVM | No | | | 7.28% | Yes | | | H-J | RF | No | | | 3.80% | Yes | | |
| Fixed | B-D | SVM | No | | | 4.08% | Yes | | | E-F | RF | No | | | 3.50% | Yes | | | G-H | SVM | No | | | 5.80% | Yes | | |
| Average | | | | | | 5.13% |
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