Research On Dynamic Optimization Of Airway Network

China’s civil aviation industry is in a period of rapid development.There is an asymmetric development between the increasing air traffic density and the supply of civil aviation transportation and the supply of airspace resources.Civil aviation is in a situation of grasping the operational potential from the airspace inventory.Once dangerous weather or military aviation activities occur in the airspace,flight operations will be greatly affected,causing flight delays and increased air traffic safety hazards.In the context of the application of performance-based navigation(PBN),the coverage of navigation signals is no longer limited.The planning space of the route can include the entire airspace.When dangerous weather occurs or military activities cover the current route,the route network Dynamic optimization can effectively avoid restricted areas and scientifically utilize airspace resources,and is an effective means to enhance the stability,safety,and economy of the route network.The core of the route network optimization problem is the adjustment of the waypoint location layout.The paper first analyzes the relevant principles and methods of route network planning,and summarizes the indicators involved in the route network evaluation.The time axis elements are introduced,and related assumptions for idealized modeling are put forward,thereby establishing that the minimum airway network operating cost and the minimum airway network conflict coefficient are the objectives,and the airspace availability and the limitation of the movement range of the waypoint position are established as the constraints.Target dynamic route network optimization model.Then an optimization strategy for airway intersections was formulated,and the performance evaluation index of the model was determined to evaluate the pros and cons of the airway network.Finally,the Beijing Flight Information Region,a typical busy airspace in my country,is analyzed,and several representative air routes are selected to analyze the dynamic optimization of the airway network.An improved multi-objective bat algorithm is designed to solve the model.The dynamic optimization of the airway network can respond to sudden restricted areas to prevent waypoint failures,and the optimized airway network performance indicators can have different optimization effects under different objective function weight coefficients,and most of the indicators have Various degrees of progress have confirmed that the optimization method in this paper can effectively avoid sudden restricted areas and improve the operational efficiency and safety performance of the airway network.