Research On Traffic Complexity For Air Transportation Systems

Rapid development in civil aviation, navigation and monitoring approaches and new technology development on the basis of the theory of big data, the complexity of the aviation transportation system are studied. This paper comprehensively summarizes the domestic and foreign studies of complexity in the field of aviation transportation system, in detail elaborated the complexity measure theory and complex network theory; From the macroscopic aspect to the terminal area air traffic and the approach of traffic flow zone characteristics are analyzed, and put forward reasonable complexity concept and calculation method of air traffic flow, as to provide theoretical basis for sectors open to adjust; From the micro aspect, through information entropy theory and statistics theory, the establishment of the moderate degree evaluation system of traffic flow, by identifying state parameter associated with the system robustness, affecting large flight for early warning system. Complex network theory and collaborative control mechanism was used to study the automation management of air traffic conflict detection and liberation, its key problems are chosen for the complex network model and the matching problem of air traffic operation system, in turn, for the air through the evolution of the complex network of conflict detection and provides a new solution to escape. From the perspective of network system science, the reliability of the airline's route network is analyzed. Specific research work and conclusions include the following five aspects:1. In order to quantitatively describe the air traffic flow complexity at terminal area, the model of nonlinear dynamics, approximate entropy and joint entropy were introduced in this paper. The approximate and joint entropy of two actual time series of air traffic flow at terminal area were calculated. The results show that air traffic flow at terminal area can be applied to effectively measure the randomicity and nonlinearity of a system and resolve the difficult problems of short sequence and comparability in depicting the complexity of a system. They are suitable to measure the complexity of the actual air traffic flow and suitable to depicting the randomicity and nonlinearity of air traffic flow.2. One of the core elements of an ATM system, critical in assurance of ATC and ATFM functions as well as for future concepts such as dynamic airspace configuration and advanced traffic flow management is the ability to measure and predict traffic complexity. The approach of this paper is to adopt a measure of complexity which should balance the qualitative and quantitative variables for a certain portion of airspace taking into account a normal traffic situation. Is the first paper which defines a weighted linear air traffic complexity function using the Analytic Hierarchy Process? AHP is perhaps the most widely used decision making approach in the world today. Its validity is based on many thousands of actual applications in which the AHP results were accepted and used by decision makers.3. This paper studied air traffic complexity by the theory of complex analysis. The calculation system of air traffic complexity measure and the robustness analysis of air traffic flow were proposed. When the aircraft influenced the air traffic flow complexity mostly, the flight warning system began to work. This paper discussed the theory of the monitoring and early warning based on the complexity of air traffic complexity measure analysis. The studies shown that the method provided in this paper could discern the state parameter associated through technical indicators from complex, uncertain data in the calculation of system complexity, and the research also pointed out the flights which had larger effects on the air traffic through robustness change. The researches show that the complexity theory proposed in this paper can carry on monitoring and early warning on flights through the complexity measure and the air traffic complexity analysis.4. The scalability of increasingly complex air transportation requires better automation support to prevent accidents and assure safety. Collaborative control mechanisms for error and conflict detection and prevention are an essential part of this support. Analysis of the network structure of proposed design for automated conflict detection and resolution for the next generation air transportation system was conducted. This analysis provides insight into the trade-offs of alternative concepts of collaborative operations, including trade-offs between expected conflicts, communications requirements, and vulnerability to targeted attack. The resulting design framework provides a structure for the application of network architecture methods to these, and other, techniques for air traffic control, enabling in-depth analysis and evaluation of the resulting system.5. In order to improve the reliability of aviation airline network, this paper presents an empirical analysis on the airline network structure of an aviation company from the perspective of complex network, and the calculation result of the statistical features and degree distribution of the network, proves that the network is a small-world network and a scale-free network. Four indicators, i.e. degree, closeness, vertex betweenness and flow betweenness, are utilized for aviation network centralization so as to distinguish the most appropriate method. The influence of nodes in local network is to be measured through the indicators. The results show that vertex betweenness can achieve the best aviation network centralization effect. On this basis, the network reliability is analyzed to discover that when two nodes with maximum degree or maximum betweenness are removed, the network performance is reduced by a half. Eventually, countermeasures are proposed for further improvement according to the results. In other words, complex network method is feasible used to analyze the topological structure and statistical features of aviation network. Based on this, a study is conduced to the network reliability and suggestions are proposed for optimizing the aviation network.