Research On The Airport Surface Operation Optimization Problem Of The Transfer Of The Aprons Control

With the rapid development of aviation business,Limited Airport resources can not meet the needs of airport throughput,China’s major airports have accelerated the expansion of the work,the expansion of the airport operation is more complex.In order to improve the platform of the scene operating efficiency after the expansion,to ensure the safe operation,and flexible use of the scene of road resources,apron control transfer work has been launched in several airports across the country,and become the trend of development.Therefore,it is of great significance to study the optimization of scene operation under the condition of apron control.This paper mainly studies the gliding process of aircraft.Through summarizing the research situation of scene optimization and neural network problems at home and abroad,analyzing the advantages and disadvantages of each scholar’s research methods before,a sliding path planning algorithm based on artificial potential field and competitive coupling neural network is proposed.And based on this algorithm,a dynamic sliding path aided decision system is developed.It is verified by an example that the algorithm can be used to plan the glide path of the coming and departing flight,according to the predicted running situation of the scene,with the shortest running time as the target.The main contents and results are as follows:(1)This paper describes ramp control handover rules and the ramp control handover effect on the scene operation,build the ground operations directed network model,and introduces the basic theory and characteristics of CPCNN.A static path planning algorithm based on competitive pulse coupled neural network is designed to minimize the sliding distance.The algorithm is validated by simulation and the shortest sliding path is obtained.(2)In order to consider the influence of other aircraft operating status and position on the path planning of the target aircraft,this paper proposed a dynamic path planning algorithm which based on artificial potential field and CPCNN,by using the artificial potential field method to obtain virtual right of way,and designing the conflict and relieving strategy of airport scene operation.The algorithm could make sure the target node ignition get the dynamic sliding path and determine the next ignition node at the same time,according to predict aircraft path trajectory,adjust virtual path length of taxiway dynamically,and update CPCNN search network.The algorithm could predict the scene traffic situation,effectively disperse the aircraft traffic density,avoid traffic jam and achieve the shortest aircraft running time.(3)In order to ensure the real and effective of the path planning algorithm,a dynamic glide path aided decision system is developed based on VB software platform.The system could not only simulate the scene operation,but also plan the dynamic glide route of the aircraft according to the flight information in the flight plan.