Research On Airport Surface Operation Based On TAAM Simulation

In recent years,with the rapid increase of civil aviation traffic,the hidden problems of airport operation have gradually been exposed,such as the continuous decline of flight punctuality and frequent congestion of airport surface.In order to solve these problems,this thesis has launched a research on it.During the research,it was found that flight delays caused by the surge in flight volume and airspace control are unpredictable.A single optimization of the airport surface cannot achieve the ideal state of efficient airport operation.Therefore,an airport operation method based on pre-planning is proposed to improve airport operation efficiency and reduce surface conflicts and flight delays.Firstly,the traditional airport operation system is analyzed by steps.Taking Xi’an Xianyang International Airport as an example,the model is built by Total Airport and Airspace Model(TAAM)simulation software.Determine the operation parameters of the model,analyze the operation results,find out the key points of the surface problems,and preliminary to optimize the surface.Aiming at the parking space allocation problem,the Greedy and Tabu Search Algorithm(GTSA)and the simulation model are constrained simultaneously,and the objective function is to minimize the vacancy rate and maximize the occupancy rate.When the taxiing speed and the total number of flights are fixed,the taxiing time of each apron is compared to verify the advantages and disadvantages of the proposed method.Secondly,taxiing path planning is carried out.The destination of some flight paths needs to be determined based on the allocation results of parking lots,but at the same time,the taxiing path planning of all flights takes the minimum taxiing time as the goal,and the collision waiting is avoided as much as possible.The taxiing path planning is carried out by the improved Dijkstra algorithm combined with TAAM simulation.Results the surface conflict,overall delay time,taxi time and other data before and after optimization were compared.Through the example verification,this method not only overcomes the limitation of the traditional optimization scheme for single site optimization,but also effectively reduces the surface conflict time and delay time,and improves the efficiency and economy of airport operation.This method provides a new idea for surface operation research.