Complete-flight planning
Optimize climb, cruise, descent, and arrival in one trajectory.
Use cases
Phase optimization
Focus on climb, cruise, or descent as a separate problem.
Real-flight replay
Compare observed tracks with optimized alternatives.
Grid and climate studies
Evaluate contrails, weather, airspace, or custom costs.
Robust candidate search
Compare solutions from varied initial trajectory guesses.
Components
Aircraft and loading
Type, engine, mass, payload, and fuel capacity.
Route and phase scope
Airports or lat/lon endpoints; complete flight or one phase.
Performance model
OpenAP, BADA3, or BADA4 aircraft envelopes.
Objectives and limits
Fuel, time, cost index, climate, maximum fuel, fixed profiles.
Atmosphere and wind
Wind fields, timing, and temperature shift.
Cost-grid context
3D/4D fields for climate, weather, or airspace penalties.
Optimization engine
Searches for a feasible trajectory that minimizes the selected operational goal.
Decision variables
- where the aircraft flies
- how high it flies
- how fast and in what direction
- how long the flight takes
- how fuel and mass evolve
Feasibility checks
- aircraft performance envelopes
- thrust, drag, and energy limits
- smooth speed and climb-rate changes
- fuel capacity and mass constraints
- heading and phase behavior
physically constrained trajectory
Outputs
Optimized trajectory
Position, altitude, speed, heading, mass, and time history.
Fuel and cost accounting
Fuel burn, per-segment fuel cost, and optional grid cost.
Objective summary
Selected goal, objective value, and trade-off comparison.
Diagnostics
Solver status, iterations, and multi-start candidate ranking.
Reusable artifacts
Tables, structured result object, parquet export, trajectory plots.