Study On The Terminal Area For The Air Traffic Flow Management

With the quick development of civil aviation transport, there is a great increase in the frequency of flight arrivals and departures. The bottleneck, which is created by the underdevelopment of control methods and equipment, leads to a worse tendency of air congestion day by day, a potential danger of the safety of air traffic, and a big economic loss. The air traffic management system is complex and large. Subject to the unchangeable software and hardware, in order to improve the efficiency of the whole system, the software is more preferable fixed. The air traffic flow management of the terminal area studied in this thesis is an important part of the automatic system of air traffic management.It is one of the main attractive research directions in air traffic flow automatic management to make full use of arrival, airport and departure capacity and optimize the departure and (or) arrival flight queues in multi airports, so as to minimize the weighted sum cost of all the delayed flights.On the basis of the strategic management idea, the thesis considers the arrival, airport and departure capacity as a whole, through which, the network effect between airports is fully emphasized, the flight action is coordinated, and the flight demand pattern is reasonably assigned. The optimization problem of flight queues in multi-airport is studied in detail; the mathematical model of multi-airport opening non-real time flow management in terminal area is established, and related problems such as the parameters, the simplification and the solving of the model are discussed in detail to some extent. Appropriate decision making variables are taken to make the multi-airport network system linear 0-1 integer programming model, thus, the solving of the model is available and the central flow management is realized.The heuristic implicit enumeration presented in this thesis can effectively solve this kind of problems. It is different from other algorithms, such as simplex, cutting plane method, etc. Through the simulation of some airports network system, we not only validate the algorithm presented in this paper, but also give a deep analysis of the results, which would produce reference for later practicable use. The simulation proves that this algorithm offers a good way to settle the problem of multi-airport flight queue optimization in air traffic management automation system in terminal area.