GIS & Real-Time Dashboard
A high-performance fleet management system visualizing 5,000+ vehicles in real-time using WebGL-powered scaling, WebSocket telemetry, and geofencing analytics for logistics operations.
Project Overview
A comprehensive fleet management and logistics dashboard for a transportation company. It allows operators to track thousands of vehicles in real-time, analyze route efficiency, and receive automated alerts for geofencing violations.
The Challenge
Existing off-the-shelf tracking solutions were too generic and could not handle the specific custom reporting and high-frequency telemetry data required by the client. The UI became sluggish when rendering more than 500 vehicles simultaneously.
The Solution
We built a custom high-performance frontend using WebGL-powered maps (Mapbox GL JS) to render thousands of markers at 60fps. The backend utilized TimescaleDB to efficiently store time-series telemetry data, pushed to the client via WebSockets for sub-second latency.
System Architecture
IoT / Telemetry
Vehicle trackers send MQTT messages to IoT Core. These are bridged to a Python ingestion service which writes to TimescaleDB and pushes updates to the Frontend via WebSockets.
Key Features
- WebGL-based map rendering using Mapbox GL JS
- WebSocket connection for live vehicle telemetry
- Geofencing alerts processing in backend
- Historical route replay functionality
Technology Stack
Challenges & Considerations
Rendering Performance
Browser lag with 5000+ markers. Solved by using clustering and WebGL layers instead of DOM nodes.
Data Ingestion
High volume of GPS pings. Solved by using a lightweight MQTT broker and batch processing writes.
Impact & Outcomes
Visualized 5000+ vehicles simultaneously at 60fps
Reduced data latency to < 200ms
Improved route efficiency by 15% via analysis tools
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