🚆 Railways & Public Transport · Data Flow
Live Bus Tracking and Arrival Times
How a city bus app shows live bus positions and arrival times: GPS devices on buses, a prediction model and updates to apps and stop displays.
Drawing diagram…
What this diagram shows
- Buses report GPS every 10 seconds
- Arrival times are predicted from live speed and history
- Stop display boards and the app get the same predictions
Prompt used
Live bus tracking data flow: GPS devices on buses send location every 10 seconds over 4G to a tracking server. It matches positions to the route and stop sequence from the schedule database. An ETA model uses live speeds and historical travel times to predict arrivals at upcoming stops. Predictions go to the passenger app, electronic display boards at stops, and the depot control dashboard. The data is archived for service planning.
Mermaid code
flowchart LR GPS[Bus GPS Devices] -->|Location every 10 s| TS[Tracking Server] SCH[(Routes and Schedules)] -->|Route and stop sequence| TS TS -->|Matched positions| ETA[ETA Prediction] HIST[(Historical Travel Times)] -->|Typical times| ETA ETA -->|Arrival predictions| APP[Passenger App] ETA -->|Arrival predictions| PIS[Stop Display Boards] TS -->|Live fleet view| DEP[Depot Dashboard] TS -->|Trip data| ARC[(Archive for Planning)]
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