Design and Implementation of the terminal area flight ranking system
|School||University of Electronic Science and Technology|
|Keywords||Air Traffic Flow Management Terminal area flight sorted Adaptive Genetic Algorithm Slot allocation|
With the rapid development of China's aviation industry, the flow of air traffic continues to increase, more and more serious flight delays and congestion phenomenon. Especially in the case of terminal area weather conditions are relatively poor, the airport capacity is reduced, resulting in a large number of flight delays. This will not only cause huge economic losses, but also a serious threat to flight safety, and greatly increase the burden on the air traffic controllers. Air traffic flow management is the most effective and most economical means to solve the problem of air traffic congestion. Optimized sort of terminal area flight as an important means of air traffic flow management, to allow the limited resources of the terminal area able to accommodate more flights. Firstly, the system tells the the ATFM basic knowledge, including the content, composition and measures of air traffic flow management; also provides an overview of domestic and international air traffic flow management, as well as the problems; the chapter Finally, a brief introduction to the terminal area traffic management. The paper also described in detail the concept and characteristics of the genetic algorithm, genetic algorithm development and application areas; brief description of the pattern of the genetic algorithm and the schema theorem. The chapter concludes that the problems and difficulties encountered by the genetic algorithm to solve the sort of terminal area flight. The paper analyzes the various models of the sort of domestic and international terminal area flight, and to identify the advantages and disadvantages of these algorithms. Combined with the actual situation of China's airspace and the development of flight traffic and terminal area flight sorting algorithm of time slots allocated for the purpose of adaptive genetic algorithm for the computation process model to solve the multi-track cases, airport capacity constraints terminal District flights assign corresponding runway and runway occupancy time slot. The core idea of ??the new model, the algorithm steps described in detail. The new model not only effectively improve the utilization of multi-runway airport, and increase airport capacity, but also significantly reduce the complexity of the algorithm. Through simulation experiments, the results of the model were compared with the results of the existing regulatory instruments, preliminary proof of the effectiveness of the new model and optimization. Finally, a brief introduction to the Design and Implementation of a certain airport traffic management system tested in a certain ATMB approach sort of functional modules.