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Open-source Framework Scikit-decide Optimizes Flight Paths Using OpenAP

Scikit-decide, a framework for reinforcement learning and automated planning, can be used alongside OpenAP—an aircraft performance model and toolkit developed by Dr. Junzi Sun of TU Delft—to optimize flight paths.

When integrated with wind data from NOAA, the system allows for the calculation of optimal trajectories to reduce jet fuel consumption. In practical tests comparing flight paths for an Airbus A320, the solver identified more direct routes under specific wind conditions, which significantly reduced both flight time and fuel requirements.

The Scikit-decide framework is designed for various scheduling and planning tasks, including reorganizing airline workforce schedules and calculating paths for drone swarms.

Sources

  1. Saving Jet Fuel (Hacker News Frontpage, 2026-09-15)
  2. OpenAP