Research On Key Technologies Of The Multi-level Multi-unit Capacity Restricted Tactical Air Traffic Flow Management

With the rapid development of civil aviation industry in China, the operation pressure of air traffic control increases and the delay of air transportation system become more and more outstanding. It’s an urgent need to construct the multi-level tactical air traffic flow management system in China by utilizing experience of foreign countries for reference. It is necessary to research the supporting technologies for the scientific construction and excellent operation of the tactical flow management system which has advanced and applied function in each level and can realize the coordinated operation between the levels. Based on analyzing the key problems of each traffic management level and the correlated operation mode between the levels and considering the form and characteristic of the tactical flow management measures of each level, this dissertation makes research on the key technology of each tactical traffic management level and the coordinated operation technology between the levels.In this dissertation, the status quo and the development trend at home and abroad of the multi-level tactical air traffic flow management are summarized comprehensively; the relevant theoretical foundation, classical methods and main research results are analyzed deeply; the main research content, key issues and future trends of the multi-level multiple-unit capacity restricted tactical flow management are dissertated systematically.This dissertation researches the national level tactical flow management technology from both the research angle of management of flights and research angle of management of the traffic streams. In so doing the national traffic management level possesses two traffic management forms to coordinate with the lower regional traffic management level. The research on the regional level traffic management technology also includes both the time-based metering management technology which is implemented on flights and the miles-in-trail restriction management technology which is implemented on traffic streams. And the regional level traffic management realizes the coordination with the management strategy of the national level.The dissertation pursues a research on the multi-unit capacity restricted slot allocation technology of the national traffic management level. The fairness metric and efficiency metric is proposed for the multiple coupling related and capacity restricted units. Then the multi-objective programming model is built with the fairness and efficiency metric as the optimization objectives and the model is solved with an algorithm which combines the NSGA II multi-objective genetic algorithm and the greedy algorithm. The results show that the model and the algorithm can realize the balance optimization of fairness and efficiency on the premise of making full use of the capacity constrained resource.The dissertation also researches the national traffic management level techniques of allocation of the departure rate and the co-allocation of the departure rate and the departure time. The departure rate allocation technology is a traffic management technique based on the traffic streams and it can realize the independent consideration of the airspace resource utilization and flight allocation problem at different traffic management level. The departure rate and departure time co-allocation technology is a traffic management technique based on the co-allocation for both traffic stream and flight. It can achieve the integrated consideration of the airspace resource utilization and flight allocation problem. The efficiency and fairness objective based on traffic flow is advanced and the multi-objective departure rate optimal allocation model based on the traffic flow time-state network graph is designed. The efficiency objective for the departure time allocation is put forward according to the discrepancy of flight delay costs and the multi-objective departure rate and departure flight co-allocation model is built with the fairness objective based on traffic flow and efficiency objective based on flight.At the regional traffic management level, the departure management technique base on time-based metering is studied which includes the collaborative management technique of departing and passing flights and the coordinated departure management technique which can make the management scheme for the regional departing flight coincide with the national traffic flow management strategy. The collaborative management technique of departing and passing flights takes into account these flights together since there are common airspace resources for these flights to utilize. The Programming model is constructed based on the different kinds of air traffic control operational restriction conditions and the objective of the model has the ability to reflect the preference of the decision-makers. The coordinated departure management model is built on the loosely-coupled collaborative mode of the multiple traffic management level and it achieves the consistency with the national traffic management strategy by adding hard constraints or soft constraints related with the national strategy to the model.Then the arrival management technique based on time-base metering is studied at the regional traffic management level. The constructed model can satisfy different kinds of air traffic control operational constraints for arrival flights and takes into account the delaying method that the flights can take. When there are errors in the controlled passing time, the model can realizes the reasonable delay distribution through adjusting the weight coefficients for different types of delay.The last technique researched at the regional traffic management level is the miles-in-trail restriction management technique. Both the generation method of the miles-in-trail restriction and the integrative decision making method of the miles-in-trail restriction and sequencing strategy are researched. The time period divided miles-in-trail restriction generation model is built and the evaluation indexes are proposed for the generated restriction. The multi-objective miles-in-trail generation model is constructed with the evaluation indexes employed as the optimization objectives. Based on analyzing the associated progressive decision connection between the miles-in-trail restriction and sequencing strategies, a bi-level programming model is constructed to realize the integrative decision making and the NSGAII multi-objective genetic algorithm is designed to solve the model.In the end, the dissertation summarizes the main research and outlooks for further study.In a word, the dissertation’s researches not only consummate the theory and methods for the multi-level multi-unit capacity restricted tactical air traffic flow management, but also have some guiding significance for the construction of the multi-level tactical air traffic flow management system in China.