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Research On Collaborative Trajectory Options Program Of The South China Sea

Posted on:2020-01-29Degree:MasterType:Thesis
Country:ChinaCandidate:H Q XuFull Text:PDF
GTID:2392330590972519Subject:Transportation planning and management
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The rapid economic growth in the Asia-Pacific region contributes to an increasing number of flights in South China Sea airspace.The explosive growth of en route traffic demand leads to low operational efficiency,especially the traffic flow from Southeast Asia to Northeast Asia has gradually increased the workload of air traffic controllers.Under the condition of limited en route resources,this paper took the flights' preference requirements into consideration,which could not only enhance the satisfaction of airlines to the assigned diversion schemes and reduce the airlines' delay cost,but also help realize the scientific and rational collaborative allocation of slots and en routes.The research would improve the utilization of airspace resources and operational efficiency and it is conducive to alleviating the main route congestion problems that need to be solved urgently.Based on some advanced sophisticated achievements both home and abroad,this paper introduces a more advanced collaborative air traffic management strategy for the operational characteristics of the South China Sea airspace,which is oriented to the actual needs of the main en routes of the South China Sea.The research is mainly carried out from the research on the collaborative operational environment of South China Sea,the en route congestion risk analysis for collaborative trajectory options program and the research on the collaborative trajectory options program of the South China Sea airspace:(1)The collaborative operational environment of the South China Sea airspace were systematically discussed.The paper has introduced some basic concept elements such as en route resources allocation,collaborative trajectory options program and trajectory and so on.In addition,the relevant responsibilities from the perspective of traffic management units and airlines were analyzed and described based on the main operational phases of the collaborative track selection procedure.Airspace coupling,air traffic flow,weather,aircraft and workload of air traffic controllers have been refined to analyze the key factors affecting the system operation of the South China Sea airspace.(2)The approach of predicting the risk of en route sector congestion was researched.The concept that en route congestion management based upon uncertainty was introduced,and a probabilistic traffic demand prediction method applied to collaborative trajectory options program was proposed to calculate the number of aircrafts and the corresponding probability in a sector during a time interval.Combined with the uncertain capacity evaluation,the route congestion risk prediction model and method are proposed to find the space-time range of the possible congestion.The method research provided a reference basis for and the slot and trajectory allocation and strengthened the implementation of airspace congestion risk management.(3)Methodology of Collaborative Trajectory Options Program based on the South China Sea airspace was researched.To solve the collaborative allocation problem of en route resource under the conditions that en route traffic demand exceeds volume or airspace capacity reduced due to severe weather,the two-stage combination model was proposed.The two-stage framework from the perspectives of both the air traffic control and the flight operator,where the first stage intended to minimize the total delay costs to assign slots and en routes for affected flights on base of TOS while the second stage took the performance of the airlines and optimize the allocation results of the first stage.Therefore,the collaborative trajectory options program of the South China Sea was formed.
Keywords/Search Tags:South China Sea, Air Traffic Flow Management, Probabilistic Traffic Demand Prediction, Collaborative Allocation of Slots and Trajectories, Collaborative Trajectory Options Program
PDF Full Text Request
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