The Design And Implementation Of Airport Slot Management System

With the rapid development of civil aviation transportation industry, the contradiction between supply and demand of airport slot resources is becoming more and more prominent, which has seriously affected the passenger demand and the development of air transport industry. How to use scientific and effective methods to manage the airport slot and to maintain the efficient operation of airports and airlines has always been one of the focus issues of the development of civil aviation in the world.Firstly, this paper has analyzed management status of domestic and international airport slot, current status of airport capacity evaluation and classic optimization models of flight schedule, secondly, combined with the specific conditions of our country, the procedure and approaches of the airport slot management is researched in detail. On the basis of the research, the airport capacity is evaluated and analyzed scientifically, and the available airport capacity and available slot model which can evaluate the available airport slot has been put forward. Thirdly, this paper has presented the airport slots management methods which is based on analytic hierarchy process and researched the quantization methods about application of airport slot. Finally, sort the same slot application of multiple airlines according to quantization order.On the basis of the above model and research, the system flow chart is designed. By the use of the C++ programming language and integrated development platform VS2008, complete the development of airport slot management system on Windows8 operating system. Then, combined with the flight schedule of Shuangliu airport, the system has managed and analyzed Shuangliu airport slot by use of the system. Firstly, the capacity of the airport is evaluated by the system, and the airport capacity and the available slot is calculated. Secondly, the system has sorted the same slot application of multiple airlines according to priority order. Finally, the results validate the correctness of the algorithm and model, and it also shows that the system can provide assistant decision-making support for slot management.