Research on Arrival Flight Sequencing Based on Optimized Point Merge System
In order to alleviate the flight delays in the terminal area,the optimization model of the point merge system is constructed,and the genetic algorithm with elite strategy is used to solve the problem.The results show that after optimization,the average flight time in the terminal area is reduced by 65 s,the average fuel consumption is re-duced by 52.3 kg,and the average pollutant emission is reduced by 726 g.After that,the optimized point merge sys-tem is used as the simulation airspace architecture,and a multi-objective arrival flight sequencing model based on the point merge system is constructed.The fast non-dominated sorting genetic algorithm with elite strategy is used to solve the problem.The results show that compared with the first-come-first-served sequence,in terms of total delay time and scheduling fairness,optimization sequence 1 is optimized by 40.69%and 10.16%,optimization sequence 2 is optimized by 14.09%and 13.4%,and optimization sequence 3 is optimized by 5.19%and 18.56%.After consid-ering the aircraft speed adjustment,optimization sequence 1,optimization sequence 2,and optimization sequence 3 are optimized by 0.2%in the final landing time,which improves the operation efficiency of the terminal area and the fair-ness of flight scheduling.
Point merge systemOperational efficiencyFast non-dominated sorting genetic algorithmSequencing in terminal areaMulti-objective optimization