Separation. Guaranteed.
Separation Engine is an open-source airspace computation platform designed to transform aviation safety from reactive control to predictive assurance. Created by Roxanne Ardary and licensed under AGPL 3.0+, the platform continuously models aircraft trajectories, environmental conditions, and probabilistic flight corridors in real time to prevent conflicts before they occur. Rather than waiting for dangerous situations to develop, Separation Engine treats the sky as a continuously solved dynamic system, where safe separation is mathematically maintained through predictive computation and optimization.
At its core, Separation Engine combines physics-based trajectory simulation, atmospheric modeling, and explainable artificial intelligence to build a live 4D representation of global airspace. The system accounts for aircraft speed, heading, altitude, wind velocity, weather systems, terrain, and airspace restrictions while continuously recalculating future flight paths. By integrating ADS-B feeds, sensor fusion, weather data, and distributed edge computation, the platform can project and evaluate aircraft movement minutes ahead of traditional systems, allowing conflicts to be resolved long before separation margins are reduced.
The platform includes advanced predictive AI capabilities such as multi-agent optimization, uncertainty visualization, reinforcement learning, and adaptive trajectory modeling. Aircraft can be represented as cooperative agents within a larger safety network, enabling dynamic conflict resolution and optimized routing while maintaining regulatory safety standards. Separation Engine also features emergency scenario simulation, fuel-efficiency optimization, real-time hazard modeling, and dynamic no-fly zone management. Through formal verification tools and explainable AI layers, every recommendation or adjustment can be audited, inspected, and validated for transparency and certification readiness.
Separation Engine is designed not to replace human air traffic controllers, but to operate as an assistive intelligence layer that enhances decision-making and reduces operational risk. Controllers can visualize projected trajectories, safety envelopes, congestion patterns, and probabilistic conflict zones using advanced WebGL dashboards, AR/VR training environments, and interactive airspace simulations. The platform also supports distributed regional airspace nodes, digital twin simulations of national airspace systems, and future integration with drones and urban air mobility corridors.
As a fully open-source project, Separation Engine encourages collaboration from engineers, researchers, aviation professionals, universities, and regulators around the world. Its modular architecture allows contributors to develop new optimization algorithms, AI models, visualization systems, and simulation environments while preserving transparency and public auditability. Licensed under AGPL 3.0+, Separation Engine is built around the idea that airspace safety should remain open, verifiable, collaborative, and globally accessible.
- Separation Engine – An open-source AGPL 3.0+ airspace computation platform that uses predictive AI, physics-based trajectory modeling, and real-time environmental analysis to mathematically maintain safe aircraft separation.