Smart Traffic Light System
A dynamic, AI-powered traffic management system that adapts signal timings based on real-time traffic flow, reducing congestion, fuel waste, and pollution. It integrates:
IoT Sensors & Cameras – Detect vehicle count and flow at intersections.
AI/ML Algorithms – Analyze live traffic data to optimize signal durations using computer vision and predictive models.
Microcontroller/Server Logic – Controls signal changes dynamically via Raspberry Pi or simulation-based systems.
Connected Infrastructure – Syncs across intersections and supports emergency routing and smart city integration.
This project demonstrates intelligent traffic control, ideal for smart city applications and scalable urban mobility solutions.
Features
- Dynamic Timing Optimization: Adapts signal durations based on live traffic flow to reduce congestion.
- IoT Integration: Detects vehicle count using sensors and cameras at intersections.
- Predictive Logic: AI/ML algorithms analyze live traffic data using computer vision and predictive models.
- Connected Infrastructure: Syncs across intersections to support emergency routing and smart cities.
Tech Stack
- Hardware: Raspberry Pi, IoT Sensors, Microcontrollers.
- Software: AI/ML, Computer Vision, Simulation-based routing systems.