Research Article
Multistep Prediction of Bus Arrival Time with the Recurrent Neural Network
Table 1
The data structure from a bus.
| | No. | Name | Types | Remarks |
| | 1 | Route_no | Long | Route number | | 2 | Route_name | String | Route name | | 3 | Route_subno | Long | Run method no. | | 4 | Up down | Int | Direction on route | | 5 | Bus_no | Long | Vehicle number | | 6 | Speed | Float | Speed | | 7 | datatime_in | String | Entry time | | 8 | driver_no | Long | Driver number | | 9 | busstop_no | Long | Site number | | 10 | busstop_name | String | Site name | | 11 | busstop_lng | Double | Site longitude | | 12 | busstop_lat | Double | Site latitude | | 13 | busstop_serial | Int | Site serial number | | 14 | busstop_type | Int | Site type | | 15 | pack_datetime | String | Outbound time | | 16 | inform_type | Int | Inform mode | | 17 | netpack_type | Int | Entry mode |
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