Airport Group Departure Flight Schedule Optimization by Considering the Needs of Airports,Airlines and Air Control
With the continuous increase of air traffic flow in China,problems such as long flight delays,many delay flights and tight airport flight schedule in the airport group have been gradually exposed.These problems are mainly caused by unreasonable flight.In order to solve these problems,the flight schedule of airport group needs to be optimized.The airport group flight time optimization model was established.The three perspectives of airport,airline and air traffic management were considered comprehensively.The de-lay time,the variance of the airline flight time adjustment of the air traffic controller were treated as the optimization goals,and the par-ticle swarm optimization algorithm with decreasing weight linearly was used to solve the model.The Beijing-Tianjin-Hebei airport group was taken as an example,MATLAB was used to optimize the model.The results show that the total delay time in the airport group is reduced from 77 580 min to 46 260 min,the variance of airline flight time adjustment is reduced from 447.076 to 63.141 and the ad-justment of controllers is reduced from 467 to 253.Three goals have been optimized.It is concluded that the fairness between airports,airlines and air traffic management is weighed by the model.The model also provides a theoretical reference for the optimization of flight time in the airport group.
air transportationairport groupairport schedule optimizationdecreasing of inertial weightparticle swarm algorithm
万方数据
维普
