Research Article
The Use of a Machine Learning Method to Predict the Real-Time Link Travel Time of Open-Pit Trucks
Table 3
Preprocessed data for training the ML prediction models.
| Date | Start time | Arrival time | Truck Id | Truck type |
| 2017-03-01 | 16:23:20 | 16:26:57 | 202 | BELAZ-L | 2017-03-02 | 20:12:09 | 20:18:12 | 503 | MT-86 |
| Truck status | -axis start | -axis start | -axis arrival | -axis arrival |
| Run | 1344 | 1188 | 2191 | 968 | Run | 2576 | 783 | 3095 | 327 |
| Load status | Start node | Arrival node | Pressure (100 Pa) | Wind speed (m/s) |
| Empty | B | E | 1002 | 1 | Coal | G | H | 999 | 0.6 |
| Temperature (°C) | Relative humidity (%) | Precipitation (mm) | Rain | Travel time (hour:min:sec) |
| 2 | 90 | 0 | No | 00:03:37 | 1 | 96 | 0 | No | 00:06:03 |
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