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adaptive-traffic-control-openenv
Rajeshwari2601/adaptive-traffic-control-openenv
adaptive-traffic-control-openenv is a machine learning model from Rajeshwari2601. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This project implements a reinforcement learning environment for adaptive traffic signal control.
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Public
Updated Apr 7, 2026
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At a glance
- Access
- Public
- Created
- Apr 7, 2026
- Updated
- Apr 7, 2026
- SHA
- a35f5da4
Model card
From the Hugging Face model README
Adaptive Traffic Signal OpenEnv
Overview
This project implements a reinforcement learning environment for adaptive traffic signal control.
Problem
Fixed traffic signals lead to congestion and inefficiency.
Solution
An AI agent learns to optimize traffic flow dynamically.
API
- reset()
- step(action)
- state()
State
Queue length in four directions + current signal
Actions
0 → North-South Green
1 → East-West Green
2 → Keep signal
Reward
Negative of total waiting vehicles
Goal
Minimize congestion
- Created
- Apr 7, 2026
- Updated
- Apr 7, 2026