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原文传递 An Airborne Conflict Resolution Approach Using a Genetic Algorithm

题名：	An Airborne Conflict Resolution Approach Using a Genetic Algorithm
作者：	Mondoloni, Stephane; Conway, Sheila
关键词：	genetic；solution；algorithm；flic；esol；proa；forecast；generation；cruise；light
摘要：	An airborne conflict resolution approach is presented that is capable of providing flight plans forecast to be conflict-free with both area and traffic hazards. This approach is capable of meeting constraints on the flight plan such as required times of arrival (RTA) at a fix. The conflict resolution algorithm is based upon a genetic algorithm, and can thus seek conflict-free flight plans meeting broader flight planning objectives such as minimum time, fuel or total cost. The method has been applied to conflicts occurring 6 to 25 minutes in the future in climb, cruise and descent phases of flight. The conflict resolution approach separates the detection, trajectory generation and flight rules function from the resolution algorithm. The method is capable of supporting pilot-constructed resolutions, cooperative and non-cooperative maneuvers, and also providing conflict resolution on trajectories forecast by an onboard FMC.
报告类型：	科技报告