A New Intelligent Airplane Landing Planning Method in Congested Airports

Nowadays considering many advantages of air traveling، we notice that traffic congestion has significantly increased in airspace of countries، and it is expected that this growth rate، increases even more in the forthcoming years. This growth rate and different limitations posed on developing some airports led to the problem of landing airplanes to become one of the most important issues formed in the field of aviation. In this paper، in the form of a new approach based on CPSO algorithm for intelligent landing planning، determining optimal landing times، optimal allocation of runways، and at last the order of successive landings of planes has been done in a way that appropriately fulfills the main goal of the problem (minimizing the total flights delays); thus helping significantly to controlling air traffic congestion in airports approaches. The simulation results show that compared to the last presented methods، including methods based on genetic algorithms، GLS and Bionomic، has decreased the total amounts of flight delays considerably. Getting zero for total amount of flight delays for the two problems with real data of DFW airport in Texas، United States، confirms the more capability of CPSO algorithm compared to the other intelligent methods for obtaining optimal solutions to the problem.