DanielMusau/Adaptive-Traffic-Lights

The Adaptive Traffic Lights system uses live images from the cameras at traffic junctions for traffic density calculation using YOLO object detection and sets the signal timers accordingly.

25
/ 100
Experimental

This system helps urban planners and traffic management agencies tackle road congestion. It takes live camera feeds from traffic junctions, analyzes vehicle density using computer vision, and then dynamically adjusts traffic light timers. The result is smoother traffic flow, reduced travel times for commuters, and lower fuel consumption and pollution in cities.

No commits in the last 6 months.

Use this if you are responsible for managing urban traffic flow and need an automated system to dynamically optimize traffic light timings based on real-time road conditions.

Not ideal if you require a simple, fixed-timer traffic light system without the need for real-time adaptability or advanced vehicle detection.

traffic-management urban-planning smart-cities transportation-logistics congestion-reduction
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 12 / 25

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Stars

11

Forks

2

Language

Python

License

Last pushed

May 20, 2024

Commits (30d)

0

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