Optimizing In-Queue Flight Regimes

A simulation platform in MATLAB was developed to investigate dynamics of level in-queue flights under different control influence. Insight is given to a supplement of this system, which optimizes the work regime in terms of flight level, speed and order. The objectives of the optimization is to achieve economy of the flight through minimization of fuel loss, while providing control possibilities over the speed and flight level of the queue. The optimal flight parameters will not change during the queue flight, till new events trigger new optimization procedure. The effect of each flight regime over the queue is described as a multidimensional observation vector. A hierarchical additive value function is constructed under strict certainty and mutual preferential independence of the coordinates, which reflects the preferences of a rational decision maker over the observation vectors. An algorithm to find the optimal flight parameters is proposed, and the possibilities of the software that executes it are described. A numerical experiment is conducted, which illustrates the necessity of situation optimization