Research On The Optimization Algorithm Of Taxiing Path Decision Of The Ramp Control Work In The Busy Airport

At present,there are many problems such as the shortage of resources in the airport movement area and the unsmooth operation of the flights,frequent delay,and so on.In order to integrate the ground resources and realize the safe and efficient operation of the aircraft in the airport,the concept of the control transfer of the apron is brought into the times,but the simple transfer of the ramp control for the operation efficiency is limited and the utilization of the airport resources should be further optimized.Therefore,this paper puts forward the optimization algorithm of route planning and decision making for taxi control in the busy airports.In this paper,through the regulation of the related tower control,the operation rules and the case of the domestic airport control transfer to the airport at present,a clear definition of the concept of ramp control,responsibilities and transfer procedures,the advantages and existing problems of the implementation of the machine flat control are summarized.Then,according to the current status of the operation and control functions of the busy airports in China,Taking Guangzhou Baiyun Airport as an example,expounds the present situation and the insufficiency,and optimize the taxiway resources,put forward a kind of necessity of planning strategy based on multiple factors constraints.A multi-factor constrained taxi routing optimization algorithm model is constructed.In this paper,based on the ground topology of Baiyun Airport,a directed graph model is established.Because the optimal strategy is not only the shortest path,but the multi-factor constraint,so the next through the analysis of the case one by one and quantify the influence of different factors on aircraft taxiing,research based on the distribution of the weight factors,finally construct the Dijkstra algorithm based on minimum cost flow of multi-factor optimization model of glide path constraint.Finally,with the actual flight time data of Guangzhou Baiyun Airport,the optimization results are debugged and verified by Python software,which proves the feasibility of optimization algorithm strategy of the multi-factor taxi path allocation.Analyze and optimize the results and propose feasible suggestions to meet the control habits of the apron.