Ujwal2910/Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

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deep-learning deep-reinforcement-learning emulation image-processing indian-traffic machine-learning opencv reinforcement-learning rl-agent-learning shadow-removal simulation simulation-environment

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stars 211

forks 63

Growth Velocity

Ujwal2910/Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision	pytorch_project_template	AI-Blueprints	herdr
Stars	211	211	212	210
Forks	63	31	16	15
Weekly Growth	+0	+0	+0	+11
Language	Python	Python	Jupyter Notebook	Rust
Sources	1	1	1	1
License	MIT	MIT	MIT	AGPL-3.0

Capability Radar vs pytorch_project_template

Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision

pytorch_project_template

Maintenance Activity 0

Last code push 2511 days ago.

Community Engagement 100

Fork-to-star ratio: 29.9%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.