Research Article
Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method
Table 9
Relevant data of passenger flow of Wuwei rail transit station.
| Date | Atmospheric temperature | Weather | Working day | Ground index | Elevated road index | Number of entrances | Number of exits |
| 1 | 25.4 | 1 | 1 | 24.76 | 26.68 | 2303 | 2149 | 2 | 31.3 | 1 | 1 | 25.44 | 30.32 | 2217 | 2027 | 3 | 14.7 | 2 | 1 | 26.58 | 29.61 | 2291 | 2062 | 4 | 17.1 | 1 | 2 | 22.84 | 19.43 | 1409 | 1222 | 5 | 13.8 | 2 | 2 | 21.77 | 17.38 | 1192 | 1158 | 6 | 11.7 | 2 | 2 | 21.49 | 19.67 | 1115 | 1087 | 7 | 8.9 | 2 | 1 | 24.76 | 30.00 | 2192 | 1976 | 8 | 11.7 | 1 | 1 | 25.00 | 24.84 | 2270 | 2125 | 9 | 14.5 | 1 | 1 | 25.65 | 29.92 | 2335 | 2184 | 10 | 16.6 | 1 | 1 | 25.52 | 22.13 | 2370 | 2197 | 11 | 19.2 | 1 | 2 | 23.34 | 19.20 | 1682 | 1542 | 12 | 21.4 | 1 | 2 | 22.21 | 28.67 | 1490 | 1390 | 13 | 14.9 | 1 | 1 | 25.89 | 27.35 | 2233 | 2108 | 14 | 16.5 | 1 | 1 | 25.03 | 27.48 | 2327 | 2165 |
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