Introduction
GTFS-Realtime (GTFS-RT) extends the static GTFS schedule with live operational information. While GTFS describes what service is planned, GTFS-Realtime describes what is happening now — vehicle locations, trip delays, and service disruptions.
For operations teams and control centers, GTFS-RT is the data standard that powers real-time fleet monitoring, passenger information systems, and live performance dashboards.
The three GTFS-Realtime feed types
Trip Updates
Trip updates communicate delays and schedule modifications. They indicate whether a trip is on time, early, or late relative to the GTFS schedule, and can include revised arrival and departure predictions at stops.
Vehicle Positions
Vehicle position feeds report the current GPS location, bearing, and speed of transit vehicles. These feeds enable live maps, fleet tracking, and spatial analysis of operational patterns.
Service Alerts
Service alerts describe disruptions — detours, stop closures, cancelled trips, or major delays — that affect passenger service. They help agencies communicate changes across digital channels.
GTFS-RT and transit operations
Real-time data transforms how agencies monitor service:
- Control centers track vehicle progression and intervene when delays accumulate
- Operations managers monitor headway adherence and bunching in real time
- Planners compare actual running times against scheduled values
- Executives view live service reliability indicators on dashboards
Without GTFS-RT, agencies rely on delayed reports and manual observation. With it, operational awareness becomes continuous.
Integrating GTFS-RT with other data sources
GTFS-RT is most powerful when combined with:
- Static GTFS for scheduled baseline comparison
- CAD/AVL systems for dispatch-grade vehicle data
- APC data for passenger load context
- Historical archives for trend analysis
Bus RT Insights integrates GTFS-Realtime alongside GTFS, CAD/AVL, and ridership feeds to provide a unified real-time transit dashboard.
Data quality considerations
GTFS-RT effectiveness depends on feed quality:
- Update frequency (typically every 10–30 seconds for vehicle positions)
- Consistent trip and vehicle ID mapping to static GTFS
- Accurate delay prediction algorithms
- Reliable alert publishing workflows
Agencies should monitor feed health as part of their data governance practices.
Conclusion
GTFS-Realtime is the standard for live transit data. It enables the real-time visibility that modern transit operations require — from fleet maps to automated KPI monitoring.
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