Aircraft landing scheduling optimization for single runway noncontrolled airports: Static case
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A static optimization scheduling algorithm using linear programming was developed for automated aircraft landing scheduling at single runaway non controlled airports. There are two basic functionalities in the air traffic control automation; trajectory analysis to provide flight-path predictions and aircraft scheduling to take advantage of accurate aircraft trajectories to produce efficient landing sequences. A scheduling model using Real Time Monte Carlo flight simulation for noncontrolled airports is developed using objective functions and the performance matrics of total cost of deviation, total holding time, and total delay time of the feeder route. The model is implemented in the automated safety and training avionics (ASTRA) that is a real time computerized airborne expert system and simulation environment that uses multiple intelligent aircraft agents. Each agent is equipped with simulated automatic dependent surveillance-broadcast devices, providing traffic information.
