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Airspace Complexity And Sector Capacity Research Considering Hazardous Weather

Posted on:2016-02-11Degree:MasterType:Thesis
Country:ChinaCandidate:L MaFull Text:PDF
GTID:2322330503988391Subject:Transportation engineering
Abstract/Summary:PDF Full Text Request
It's a very complex issue to predict sector capacity and optimize traffic flow in the highly congested airspace during weather events. The current method of airspace capacity estimation based on aircraft counts is hard to map out the complex relationship between traffic situation, sector structure and controllers' workload.Because the intensity and scope of hazardous weather has difficulty in forecasting accurately, it makes airspace capacity estimation under hazardous weather harder.Firstly, the airspace complexity is analyzed from the perspective of the source of complexity and the current airspace complexity research methods are summarized in this paper. However, there is as yet no widely accepted architecture for airspace capacity estimation research considering hazardous weather. Therefore, the mainline and framework of previous work are organized in this article, focusing on existing achievements such as route availability, maxflow/ mincut theorem, stochastic airspace capacity and so on. It also points out the future and development trends in the field of airspace capacity estimation research considering hazardous weather and some key issues which remain to be solved.Secondly, based on the idea of disturbance analysis and according to the actual operation of the sector, the sector, flight flow and weather model are established. The speed adjustment method for conflict detection and resolution is used to define the airspace complexity computing method. And the corresponding complexity map is designed which can provide a way to predict and decrease the airspace complexity.The simulation experimental results indicate that this method can reflect airspace complexity objectively and provide decision support for air traffic management.Finally, the maxflow/mincut extension theorem and Folyd algorithm are applied to estimate sector maximum throughput during weather events. Through the multiple sets of random weather data, the fitted regression equation and curve are established.The simulation experimental results show that the equation has higher accuracy and it may offer the reference for ATM to predict the effect of the hazardous weather.
Keywords/Search Tags:hazardous weather, airspace complexity, traffic flow disturbance analysis, speed adjustment method, sector capacity, maxflow/mincut
PDF Full Text Request
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