Management of Traffic By Using Raspberry Pi To Remotely Monitor Weather Parameters And Pollutants

Traffic congestion becomes worse when weather conditions and air pollution are not monitored in real time. In this video, we present a Raspberry Pi based remote monitoring system that continuously measures weather parameters and pollutants to support smart traffic management decisions such as signal timing control, route diversion, warnings, and public alerts.

✅ What you’ll learn
How Raspberry Pi enables remote environmental monitoring for smart cities
Sensors used for weather: Temperature, Humidity, Pressure, Rain, Wind (optional)
Sensors used for pollution: PM2.5/PM10 (dust), CO, CO₂, NO₂, LPG/Smoke (gas sensors)
Data acquisition and calibration basics for reliable readings
Sending data to cloud using Wi-Fi + MQTT/HTTP
Creating a real-time dashboard (web/app) with graphs and thresholds
Using the collected data to manage traffic signals and issue alerts:
Reduce speed during fog/rain
Extend green time on safer routes
Trigger diversion messages in high pollution zones
Emergency alerts for critical AQI levels

🔍 Key Features
Live monitoring with timestamped data logging
Remote access dashboard for authorities/operators
Threshold-based notifications (SMS/Email/App alerts)
Scalable design for multiple junctions and zones

🌐 Applications
Smart city traffic control rooms
School zones & hospital zones (pollution-aware traffic regulation)
Industrial areas with high emissions
Highway and fog-prone accident zones

⚠️ Disclaimer: This project/video is for educational and research purposes only. Real deployment requires certified sensors, proper calibration, and integration with traffic authority infrastructure.

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#RaspberryPi #SmartTraffic #IoT #AirQuality #WeatherMonitoring #SmartCity #PollutionMonitoring #MQTT #Sensors #AQI #EmbeddedSystems