README.md

🚦 SUMO Traffic Simulation with TraCI (Python)

This project demonstrates a basic traffic simulation using SUMO, TraCI, and Python for vehicle monitoring and traffic data extraction.

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🎯 Project Objectives

• Run SUMO simulations from Python using TraCI
• Monitor vehicle speed and position in real time
• Compute vehicle distance traveled
• Extract edge-level traffic metrics (e.g., average speed)
• Build a foundation for traffic analytics and ML-ready datasets

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📌 Features

• 🚗 Vehicle speed tracking per simulation step
• 📍 Vehicle position monitoring
• 📏 Distance traveled calculation
• 🧠 Edge average speed computation
• 🔄 Real-time simulation control via TraCI
• 🛣 Custom SUMO network and route configuration

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🛠 Tech Stack

• Python
• SUMO (Simulation of Urban Mobility)
• TraCI (Traffic Control Interface)
• sumolib

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📂 Project Structure

• traci_sumo.py — main simulation runner
• Traci.net.xml — network file
• Traci.rou.xml — routes file
• Traci.sumocfg — simulation config

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▶️ How to Run

1. Install SUMO
2. Install Python packages

pip install sumolib traci

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Run

python traci_sumo.py

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👤 Author

Olatide Enoch

• Transport Technology Student
• Python Developer — Traffic Simulation & Analytics