Research Article
Method of Evaluating and Predicting Traffic State of Highway Network Based on Deep Learning
Table 2
Babaihu observation station data.
| Index | Observation station | Hour | Minute | Flow volume [pcu] | Speed (km/h) | Density[pcu/km] |
| 1 | Babaihu | 1 | 0 | 8 | 25.0000 | 10.4800 | 2 | Babaihu | 1 | 5 | 41 | 24.8750 | 10.5327 | 3 | Babaihu | 1 | 10 | 21 | 24.8333 | 10.5503 | 4 | Babaihu | 1 | 15 | 25 | 22.3333 | 11.7313 | 5 | Babaihu | 1 | 20 | 22 | 22.5000 | 11.6444 | 6 | Babaihu | 1 | 25 | 16 | 22.3750 | 11.7095 | … | … | … | … | … | … | … | 283 | Babaihu | 24 | 30 | 17 | 24.4000 | 11.5984 | 284 | Babaihu | 24 | 35 | 7 | 22.7500 | 12.4396 | 285 | Babaihu | 24 | 40 | 14 | 22.0000 | 12.8636 | 286 | Babaihu | 24 | 45 | 38 | 23.5000 | 12.0426 | 287 | Babaihu | 24 | 50 | 12 | 26.0000 | 10.8846 | 288 | Babaihu | 24 | 55 | 39 | 27.2500 | 10.3853 |
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