Research Article
A Hierarchical Passenger Mobility Prediction Model Applicable to Large Crowding Events
Table 5
The number of event participants from the main passenger sources of crowding station from 6:00 p.m. to 7:00 p.m.
| Passenger source | Empirical data | MC model | -gram model | -gram model | -gram model |
| Shenzhen University | 873 | 129 | 276 | 504 | 421 | Qiaocheng North | 604 | 135 | 522 | 694 | 561 | Keyuan | 563 | 198 | 782 | 1,071 | 1,120 | Chegongmiao | 559 | 131 | 501 | 503 | 673 | High tech park | 545 | 78 | 481 | 798 | 871 | Huaqiang Road | 535 | 89 | 331 | 428 | 508 | Grand Theater | 503 | 113 | 434 | 641 | 712 | Shopping park | 379 | 71 | 605 | 717 | 729 | Huaqiang North | 368 | 7 | 223 | 280 | 255 | Laojie | 361 | 46 | 64 | 198 | 223 | MAPE (%) | / | 97.7 | 68.8 | 60.2 | 64.9 | MAE | / | 125.6 | 74.0 | 60.3 | 67.8 | RMSE | / | 195.2 | 116.2 | 95.0 | 112.2 |
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