Research On Air Traffic Flow Management Multi-strategy Integrated Optimization

With the rapid development of the civil aviation industry,the air traffic environment is becoming more and more complex.Air traffic flow management strategies,as a necessary basic means to implement air traffic management,is increasingly developing in the direction of refined management and integrated application.When using multiple traffic management strategies to achieve demand and capacity balancing,the coordination of the multiple traffic management strategies should be considered.There are many types of situations in which multiple strategies are integrated.One case is a flight may be affected by multiple traffic management strategies,for example,the flight is assigned both ground delays and reroutes.And in this case the multiple traffic management strategies affecting the flight may be initiated in succession,so the impact of the strategy initiation time and coupling effect of and multiple restrictions on the flight needs to be considered.Another case is different traffic management strategies are adopted for different flights passing through the common restricted resources.Because of the competition for the resources,it is also necessary to consider the integrated application of the multiple strategies.The research of this paper is made with references to the domestic and international related research,and aiming at the practical application scenarios and requirements for air traffic flow management in China.And the focus is on the core issues in multi-strategy integrated decision making.Two kinds of multi-strategy integrated optimization models are built after analyzing the way in which multiple strategies are integrated and the uncertainties that affect the effectiveness of multi-strategy implementation,and corresponding simulations are developed to verify the models and the algorithm.First study on the integrated optimization problem for multi-strategy initiated at the same time.An integrated optimization model for both the ground delay and the MIT strategy decision making is established.Artificial intelligence algorithm is designed to solve the model and using Monte Carlo simulation method,the implementation efficiency of the GDP and MIT integrated strategy impacted by the uncertainties is analyzed.Second study on the integrated optimization problem for multi-strategy initiated in succession.The researched case is about ground delay strategies initiated successively for multiple restricted units including airport and airspace.The two-stage stochastic programming model is built to realize the integrated optimization of the traffic management strategies initiated successively.Finally research on Collaborative Miles/Minutes-in-trail Conversion Program in the south China sea.The framework of the platform and the functions of each component module are introduced in detail.The operational benefits of the CMCP platform system are explained.The results show that the two kinds of multi-strategy integrated optimization models can consider the interaction between strategies and achieve integrated optimization of multiple strategies.Providing theoretical methods and technical support for multi-strategy comprehensive decision-making.