Air Traffic Capacity of RVSM Area Based on Heuristic Algorithm

Reducing Vertical Separation Minimum (RVSM) of the cruising levels from 12500 meters to 8400 meters is beneficial in increasing air traffic capacity. Implementing RVSM to increase air traffic capacity, which is qualitative with ration analysis, is adopted in the paper. The mathematical model of air traffic capacity in RVSM area is established based on the air traffic control mode of changing the fly level of aircrafts. Genetic algorithm with ant algorithm (GAAA), which is one of Heuristic algorithms, is applied to solve the large-scale combinations issue. Considering actual characteristics of air traffic control, the improved algorithm in this study can reduce the calculation complexity and time. The optimal cruising mode of flight route in RVSM area is established to increase the capacity in RVSM area. In this research, GAAA computer simulation is used to calculate the capacity in an actual RVSM flight route and proved the feasibility and practicality of the algorithm. The conclusion from this study provided an approach to solve the fight route capacity while reducing vertical separation minimum.