Research On General Airport Runway Capacity Estimation

With the rapid development of general aviation,the number of general aviation flight time will rapidly increase.The decrease in airport operating efficiency and the increase in the number of security incidents will bring unprecedented pressure on air traffic management departments and general airports.Runway capacity is a key determinant of the airport’s capacity level and the operation efficiency.Visual approach and visual separation are currently effective measures to increase airport runway capacity and airport operating efficiency.Therefore,the study of the assessment of general airport runway capacity under visual approach and visual separation provides the basis for the efficient operation of the airport and provides a basis for operational management.This paper uses space-time analysis method to establish a general airport runway capacity assessment model under visual approach and visual separation,the analyze and verify the model through theoretical calculation and AnyLogic simulation.First of all,a detailed analysis of the factors that affect the capacity of the general airport runway,to determine the main factors affecting the capacity of the general airport runway is separation,visual separation is critical in the runway capacity assessment.In this paper,the entropy method-neural network coupled model is used to study the visual expectation separation value in visual approach.From the three aspects of“man-aircraft-environment”,the factors that cause the difference in the visual interval value are analyzed,and the entropy weight method is used to determine the important factors affecting the difference in the visual interval value in the visual approach as the input layer of the RBF neural network.The entropy weight method-neural network coupling model was established.Based on the difference from the instrument approach,a model of the aircraft-following based on the fuzzy control theory was proposed to study the aircraft’s movement state in the visual approach.Using the pilot’s expected visual interval and the actual distance difference and speed difference as input for fuzzy control,acceleration is used as the output.Using Simulink tool in MATLAB to simulate different visual approach scenarios,the two kinds of motion states,the stable car-following state and the car-following adjustment state,were determined by the deviation difference analysis and obtained minimum visual separation value.Finally,the space-time analysis method is used to analyze the aircraft’s movement status under visual and visual intervals,and a general airport runway capacity assessment model is established.Based on the data from the Civil Aviation Flight University of China Guanghan Airport,the runway capacity assessment was conducted.At the same time,AnyLogic simulation software was used to simulate the runway capacity.The model was verified by comparing the theoretical values with the simulation results.