traffic-ai-openenv

🚦 OpenEnv – Smart Traffic AI Simulator

📌 Problem

Urban areas face traffic congestion and delayed emergency response. There is no intelligent system that dynamically optimizes traffic in real time.

💡 Solution

We built an OpenEnv-based simulation where an AI agent learns to manage traffic and prioritize emergency vehicles using a step-based environment.

⚙️ Environment API

• reset() → initializes environment
• step(action) → returns (state, reward, done, info)
• state() → current state

🤖 Agent

A rule-based intelligent agent that:

• Prioritizes ambulance movement 🚑
• Optimizes traffic flow 🚦

📊 Results

Smart Agent vs Random Agent:

• Random Score: -496
• Smart Score: -117 👉 Significant improvement observed

🛠️ Tech Stack

• Python
• Gradio
• OpenEnv concepts

🚀 Future Scope

• Multi-signal system
• Real-time traffic data integration
• Reinforcement learning model
• Multiple Emergency vehicles (Firetrucks,police vehicles,etc)