A real-time AI-powered system designed to reduce urban traffic congestion, prioritize emergency vehicles, and predict traffic patterns using Edge Computing and Machine Learning. Built for smart cities, this solution enables scalable, responsive traffic control without relying solely on cloud infrastructure.
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🛑 Real-Time Signal Control
Uses live camera feeds and YOLO object detection on edge devices (ESP32-CAM & Raspberry Pi) to control traffic lights based on vehicle density. -
🚑 Emergency Vehicle Prioritization
Detects emergency vehicles and creates a Green Corridor by automatically altering signal states across intersections. -
🚗 Vehicle Classification
Classifies two-wheelers, cars, buses, and trucks using YOLOv8 to determine traffic weightage and manage green time efficiently. -
🔮 Traffic Forecasting with AI
Uses Gemini AI and LSTM models to predict future traffic congestion and optimize routing decisions. -
📱 Android App for Users
Displays live signal status, voice-based navigation, emergency alert system, and route suggestions using real-time data. -
☁️ Cloud Integration via Firebase
Syncs traffic data, alerts, and signal state information in real-time for coordination between edge devices and the app.
| Component | Tools & Tech |
|---|---|
| Hardware | ESP32-CAM, Ultrasonic Sensors, Raspberry Pi 4 |
| AI/ML | YOLOv8 (Object Detection), Gemini + LSTM |
| Programming | Python (OpenCV, TensorFlow), C++ (Arduino), Java (Android Studio) |
| Cloud | Firebase (Realtime DB) |
| Edge Processing | Raspberry Pi 4, ESP32 with onboard camera |
| Frontend (App) | Android Studio |
🌆 Goal 11: Sustainable Cities
Smarter traffic flow and cleaner air quality through optimized signaling
🏥 Goal 3: Good Health
Quicker ambulance routing, reducing emergency response delays
🏗️ Goal 9: Industry & Infrastructure
Leverages AI and IoT for next-gen smart road infrastructure
🌱 Goal 13: Climate Action
Reduced idle time leads to fewer emissions
♻️ Goal 12: Responsible Consumption
Efficient use of resources and minimal system overhead
💼 Goal 8: Decent Work & Economic Growth
Enhances urban productivity and creates new tech-based job roles
YouTube links here
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graph TD
A[Vehicle Detected via Camera] --> B[YOLOv8 Detection & Classification on Edge]
B --> C[Traffic Weight Calculation]
C --> D[Signal Timer Adjustment]
B --> E[Emergency Vehicle Detected]
E --> F[Green Corridor Creation]
D & F --> G[Firebase Sync]
G --> H[Android App Display]
