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Managing Space Traffic with AI – Orbits, Collisions, Decommissioning

Artificial intelligence is being developed to manage the increasingly complex environment of space traffic, mitigating risks associated with collisions and decommissioning obsolete satellites.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

Managing Space Traffic with AI

The system catalogs space objects, predicts orbital paths, assesses collision and avoidance risks, and manages decommissioning activities.

Catalog Orbits Conjunction Avoidance Decommission

Risks? Catastrophic/Chain Reactions

Scale? Flows/latency.

AI in Space Traffic Management involves cataloging objects, predicting close approaches, avoiding collisions, tracking orbital degradation, and providing situational awareness.

live demo · related simulation● LIVE

Classification of Debris/Fragments

Collision probability and track accuracy are key factors.

Response time and notification protocols are crucial for effective management.

Frequently asked questions

What is the role of telemetry, radar, optical sensors, and catalogs in this system?

Telemetry/radar/optical sensors/catalogs, fusion.

How do atmospheric models, drag, and solar activity affect the calculations?

Models atmosphere/drag/solar activity.

What protocols govern data exchange and operator responsibility?

Protocols exchange responsibility operator.

How does the system address safety, logging, audits, and simulations?

Safety logs audits simulations.

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Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

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