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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
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