What the Data for This Category Looks Like
Internal office data for urban public transit primarily comes from on-board smart terminals, dispatch center systems, ticketing and settlement platforms, and passenger flow collection equipment. Data update rhythms fall into three categories: real-time vehicle location is synced every second, passenger flow statistics are updated every 5 minutes, and ticketing transaction data is aggregated hourly. Single data documents include fields such as route number, stop code, vehicle identification code, latitude and longitude coordinates, current passenger count, estimated arrival time, and transaction serial number. Latitude and longitude use decimal degrees as the unit, passenger count uses person trips as the unit, and time fields use East 8 time stamp format.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
Real-time vehicle location updates every second, so HTTP interface call frequency must be no lower than 1 call per second; otherwise, the latest dispatch data cannot be retrieved. Different data types have distinct update rhythms, so separate interfaces must be used to pull real-time location, passenger flow statistics, and ticketing transaction data. This avoids excessive load on single interface requests. Clear requirements apply to field units and formats: interface-returned latitude and longitude must use decimal degree format, and passenger count must be an integer measured in person trips. Non-compliant data cannot be properly parsed by internal office systems. The transit system’s multi-system linkage needs require HTTP interfaces to support request forwarding and data aggregation across external systems including dispatch, ticketing, and attendance. This ensures collaboration between employee services and office workflows.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Interface authentication method | Use Bearer Token format, with the fixed secret carried in the Authorization header | Complies with the interface configuration specifications of FastGPT v4.17.0, and adapts to the internal authentication requirements of the transit system |
| Global variable configuration | Fill in fixed parameters such as route ID range and stop code prefix, pass the variables field in JSON format | Adapts to the need for batch data pulling across multiple routes, and reduces repeated request parameters |
| Response data parsing rule | Only extract core business data under the responseData field | Filters redundant interface return content, and improves processing efficiency for internal systems |
| Call frequency limit | 1 call per second for real-time location interface, 1 call every 5 minutes for passenger flow statistics interface, 1 call per hour for ticketing interface | Matches the update rhythm of transit data, and avoids interface rate limiting |
| Timeout setting | 30 seconds | Adapts to the latency of the transit system's office network, and avoids request interruptions |
| Data format validation rule | Validate that latitude and longitude are decimal degrees, and passenger count is a positive integer in person trips | Ensures data can be properly parsed by internal office systems |
Three Common Misconfigurations
- Failure to correctly pass the
variablesfield during interface calls results in missing specified route or stop information in returned data. The cause is that fixed parameters are not added to thevariablesfield as required, so the interface cannot identify the request scope. - Incorrect secret format carried in the configured
Authorizationheader results in a 401 unauthorized status code returned by the interface, with an invalid token prompt. The cause is that the secret is not concatenated using the Bearer Token format, or the secret does not match the internal authentication rules of the transit system. - Failure to adjust the call frequency according to the data update rhythm results in significant lag in real-time location data returned by the interface, which affects dispatch and office workflows. The cause is that the call frequency is lower than the data update frequency, and does not match the second-by-second update requirement of real-time transit data.
How to Confirm the Configuration is Correct
- Call the test interface, check whether the returned
responseDatafield contains expected business data, and confirm that the authentication process is working normally. - Check whether the
variablesfield carries the configured fixed parameters, and verify that the scope for batch data pulling meets expectations. - Compare the latitude and longitude, passenger count fields returned by the interface with the internal data format of the transit system, and confirm that the validation rules are in effect.
- View the interface call logs, confirm that the call frequency matches the configured limit, and there are no frequent rate limiting or timeout situations.
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.