Vehicle tracking helps logistics, delivery, and transport businesses monitor fleets in real time. With cloud storage and processing, the system remains scalable, responsive, and accessible from anywhere.
Use GPS-enabled devices like NodeMCU + NEO-6M to stream vehicle coordinates to the cloud. Display movement paths on a live map, show historical data, and notify if vehicles deviate from set routes or stop unexpectedly.
Track vehicle latitude and longitude every few seconds and send to the cloud.
Visualize current vehicle position and trail using Google Maps or Mapbox.
Store vehicle coordinates over time to replay past trips or analyze movement patterns.
Define safe zones; send alerts if a vehicle enters or exits these predefined areas.
The vehicle uses a GPS module with a microcontroller to transmit location to Firebase or AWS IoT Core. The cloud backend processes and stores location data, and the frontend displays updates live on a map with optional alerts.
NodeMCU/ESP32, NEO-6M GPS Module, Arduino IDE, SIM800L (optional for GSM)
Firebase Realtime DB or AWS IoT Core + DynamoDB for storing and retrieving coordinates
React.js with Google Maps API or Leaflet.js for displaying live vehicle movement
Firebase Cloud Messaging or Twilio for instant alerts on route violations or long idle time
Configure the NEO-6M GPS with NodeMCU or ESP32 to fetch coordinates using serial communication.
Send latitude and longitude to Firebase or AWS every 5–10 seconds using MQTT or REST API.
Visualize vehicle locations using React and maps API; include route lines and markers.
Store location logs and define geo-zones; alert users if vehicles cross set boundaries.
Deploy frontend on Firebase Hosting and test tracking in different locations with actual hardware.
Build a scalable cloud-based tracking system for transport, logistics, and smart mobility solutions using GPS + IoT + Maps API.
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