Space Traffic AI Simulator

🛰️ Space Traffic AI Simulator

The Space Traffic AI Simulator provides an interactive and visual approach to understanding satellite orbits in Low Earth Orbit (LEO) using Two-Line Element (TLE) data. It enables space professionals, researchers, and enthusiasts to observe satellite dynamics over a time period, laying the foundation for predictive collision avoidance powered by artificial intelligence.

The tool uses orbital propagation techniques to simulate 90 minutes of motion based on real or simulated TLE data. It also introduces basic elements of SSA (Space Situational Awareness) and supports visualization needed for future AI-driven orbital traffic deconfliction systems.

✅ Key Capabilities

  • 🚀 Load and visualize real-world or sample satellite TLE data
  • 🧭 Simulate orbital propagation over a 90-minute period
  • 🌐 3D interactive orbit visualization using Plotly (pan, zoom, rotate)
  • 📊 Extendable for reinforcement learning (AI-based maneuver planning)

This simulator is a building block for real-time orbital monitoring systems that help detect high-risk conjunctions and plan evasive maneuvers using reinforcement learning agents.

👇 Live Visualization

📍 This live map updates dynamically based on the selected TLE set and offers visual insights into current satellite traffic, potential intersections, and orbital behavior.

Built by Interplanix — advancing open-source tools for orbital safety and SSA.

Scroll to Top