High-throughput IoT fleet telematics & dispatch
Overview
Trackeno provides end-to-end operational visibility for logistics and delivery fleets. It ingests high-frequency vehicle telemetry over MQTT/WebSockets, processes geospatial polygons for automatic gate detection, and calculates optimal delivery stops in real time.
Fleet dispatchers faced 30–60 second data latency in existing GPS trackers, causing missed customer delivery windows and slow emergency incident response.
Architected an event-driven telemetry pipeline on Node.js, TimescaleDB, and Redis streams capable of processing 20,000+ pings/sec with sub-second geospatial updates on an interactive Mapbox canvas.
Outcomes
Key features
Live vehicle map
Smooth 60 FPS geospatial vehicle movement with custom heading indicators.
Dynamic geofencing
Automated entry/exit webhook triggers for warehouses and delivery checkpoints.
Fuel & diagnostic alarms
Real-time engine DTC codes, harsh braking, and fuel drain anomaly detection.
Route optimization
AI-driven route sequencing reducing average miles driven per route by 14%.
System architecture
Stack
Gallery
Challenges
Geospatial point-in-polygon throughput
Evaluating thousands of moving vehicles against hundreds of active geofences required an in-memory R-tree spatial index.
Dead reckoning on GPS tunnels
Simulating smooth map interpolation when vehicles passed through urban canyons or tunnels.
Key learnings
- Protobuf binary encoding cuts IoT bandwidth usage by over 60% compared to raw JSON payloads.
- WebGL-based map rendering is essential for keeping the UI responsive when visualizing thousands of simultaneous entities.
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