What the data for this category looks like
The business data for urban public transport comes from internal group scheduling systems, IC card transaction terminals, and station operation logs. There are two update frequency categories:
- Real-time shift and station arrival/departure information is updated minute-by-minute
- Passenger flow statistics and line operation data are updated daily
Each individual data entry includes the following fields: line number, station name, scheduled arrival/departure time, actual arrival/departure time, instantaneous passenger flow, and station operation status. The units for these fields are, respectively: string, Chinese name, ISO format timestamp, ISO format timestamp, passenger trips, and enumeration status.
What constraints these characteristics impose on workflow orchestration
Urban public transport data characteristics create clear constraints for workflow orchestration:
- Minute-by-minute updated real-time shift data requires workflow trigger intervals to not exceed 5 minutes. Failing to meet this requirement will prevent returning the latest arrival/departure information.
- Field differences in multi-source heterogeneous data require standardized nodes in the workflow, to unify naming and formatting for fields such as lines and stations.
- Daily updated passenger flow statistics data must be bound to a scheduled trigger node, to avoid calling expired data.
- Multi-dimensional inquiry inputs (line, station, time period) require the workflow to support
variablesparameter binding for multiple variable combinations. It is also necessary to limit the amount of associated data per single request, to prevent interface overload.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Bind three variables: line ID, station name, and inquiry type | Bus inquiries require multi-dimensional input to match corresponding business data |
| Trigger node interval | 300 seconds | Matches the minute-by-minute update rhythm of real-time bus shifts, avoids data lag |
| Data standardization node | Unify line and station fields to standard naming | Field differences in multi-source data will cause matching failures |
| Scheduled trigger node | Trigger at 0:00 daily | Passenger flow statistics data is updated daily, and knowledge base associated content needs to be synchronized |
nodeId | Bind the unique identifier of the data alignment node | Ensure that multi-variable update nodes are uniformly connected to the reply node, solving the problem of variable aggregation failure |
| Single request data limit | Top 3 line data entries | Avoid excessive data returned by a single call causing reply timeouts |
Three common configuration errors
- Phenomenon: Outputs from multiple variable update nodes cannot be merged into a single AI reply node. The interface displays missing variable values or empty fields in reply content. Cause: The unified reply node is not bound via
nodeId, so outputs from each variable node are not properly aggregated. - Phenomenon: Expired information is returned when calling real-time shift data. Logs show the arrival/departure time returned by the interface is 10 minutes old. Cause: The trigger node interval is set to more than 5 minutes, which does not match the real-time data update rhythm.
- Phenomenon: Scheduled passenger flow data is not updated. Knowledge base associated content still shows last week's statistics. Cause: The scheduled trigger node is not bound to the daily updated data source, or the trigger time is configured incorrectly.
How to verify the configuration is correct
- A test request can be initiated, with the preset line ID and station name entered, to confirm if the returned content includes matching real-time arrival/departure information.
- Workflow logs can be reviewed to confirm that all variable values bound to the
variablesparameter are correctly included in the reply content. - Running records of the scheduled trigger node can be checked to confirm that the daily 0:00 data synchronization task has been executed.
- The external API of FastGPT v4.17.0 can be used for testing, to confirm that the field format of the returned results matches the preset standardization rules.
The values provided here are common starting points and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.