Research Article
Prediction of Train Station Delay Based on Multiattention Graph Convolution Network
Table 2
China railway ticketing system train operation data.
| Train date | Train number | Station name | Expected arrival time | Expected departure time | Actual arrival time | Actual departure time | Stopover time (minutes) | Arrival delay | Departure delay |
| October 19, 2019 | G17 | Beijingnan | 19:00 | 19:00 | 19:00 | 19:00 | ā | False | False | October 19, 2019 | G39 | Beijingnan | 19:04 | 19:04 | 19:03 | 19:03 | ā | False | False | October 19, 2019 | G21 | Beijingnan | 19:06 | 19:08 | 19:08 | 19:10 | 2 | True | True | October 19, 2019 | G269 | Beijingnan | 19:14 | 19:18 | 19:15 | 19:17 | 4 | True | False | October 19, 2019 | G207 | Beijingnan | 19:28 | 19:30 | 19:36 | 19:37 | 2 | True | True | October 19, 2019 | G4961 | Beijingnan | 19:36 | 19:37 | 19:36 | 19:38 | 1 | False | True | October 19, 2019 | G333 | Beijingnan | 19:55 | 19:57 | 19:54 | 19:56 | 2 | False | False |
|
|