Research On Airport Time Slot Allocation Technology In Ground Holding Policy

With the rapid development of economy,the demand for air transport keeps increasing,resulting in the congestion of airports,airspace and air routes.The congestion of the airport leads to the delay of the aircraft,which seriously restricts the development of the civil aviation industry,the travel efficiency of people and the benefit of airlines.The problem of aircraft delays has severely restricted the development of the civil aviation industry,people's travel efficiency and benefits for airlines.Aircraft delays include air delays and ground delays.Air delays are not only more dangerous but also more costly than ground delays.However,Ground Holding Policy(GHP)is an effective means to convert air delay into ground delay,and its core is time slot allocation.By studying the time slot allocation technology in the ground waiting strategy,it is beneficial to the rational use of time slot resources,which can reduce the delay loss of flights and the safety risk of passengers.This paper firstly analyzes the current status of domestic and international research on slot allocation in ground waiting strategies,and summarizes the problems of the initial slot allocation and the re-slot allocation.Secondly,by analyzing the shortcomings of the Ground Delay Program Enhancement(GDP-E)time slot allocation link,an improved enhanced ground wait program is proposed to provide support for the specific research program of the subsequent initial time slot allocation and time slot redistribution.Thirdly,for the initial allocation of time slots,based on the RBS model algorithm,a single-objective optimization model based on efficiency and a multi-objective optimization model based on efficiency and fairness are established.The single-objective optimization model is solved by simulated annealing algorithm.The single-objective optimizationmodel is solved by simulated annealing algorithm,and an improved simulated annealing algorithm is proposed for the deficiency of the algorithm.Meanwhile,the effectiveness and rationality of the improved simulated annealing algorithm are verified by an example.Then,the improved simulated annealing algorithm is used to solve the multi-objective optimization model.The results of example verification show that the model algorithm established in this paper can better improve the optimization effect of the fairness and efficiency of the time slot by initial allocation than the RBS algorithm.Finally,in view of the problems of time slot reassignment,the limitations of the existing time slot exchange algorithm Compression(compression algorithm)are analyzed,and based on this,a "2 to 2" time slot exchange algorithm based on the first time slot allocation.Then,the proposed algorithm was used to solve the flight punctuality model and passenger delay time model.The results show that the "2-to-2" time-slot switching algorithm proposed in this paper enables airlines to participate in time-slot allocation according to their different decision-making objectives,which improves the flight punctuality rate,reduces the delay time of passengers and further optimizes the time-slot allocation strategy.In this paper,the research on airfield time slot allocation technology in ground waiting strategy is helpful to perfect the theoretical basis of time slot allocation.At the same time,it can better help the traffic management department to allocate time slots efficiently.Therefore,it not only enhances the decision-making ability of airlines,but also enriches the time-slot switching system.