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Research On The Optimization Of Air Traffic Controller Scheduling In Xiamen Air Traffic Management Station

Posted on:2019-11-01Degree:MasterType:Thesis
Country:ChinaCandidate:L FangFull Text:PDF
GTID:2382330548959508Subject:Business management
Abstract/Summary:PDF Full Text Request
In recent years,China's civil aviation has flourished,and the magnificent annual reports of the major airlines show that the industry is booming.Nowadays,the flight increment is rapid,the air traffic control industry is facing the problems of shortage of talents,fatigue of personnel,large operation risk and high pressure.This paper analyzes the current duty situation of Xiamen area control,and analyzes the existing problems from the aspects of workload,operation risk,rest time and the rationality of handover.In depth analysis,there are four reasons include the complexity of flow control,the uneven distribution of flights,the continuous flow and risk of operation,and the lack of qualified controllers contribute to that.According to the duty problems and reasons of Xiamen area control,the paper develops optimization objectives and principles,and then puts forward some situations on duty,updates in accordance with the feature of the project characteristics and unit optimization,gets the final plan on duty.The actual operation data is selected to simulate the implementation of the optimization plan,the new scheme is used to shift,and the representative two controllers are selected to compare the duty data,and the implementation effect of the new scheme is predicted.And then in-depth quantitative analysis and evaluation are carried out.The three aspects of working intensity,operation risk and rest time are compared with the original scheme,and the reliability and applicability of the new scheme are analyzed and proved.The research results of this paper can provide reference for area control of Xiamen Air Traffic Control Station,and provide reference for the similar type of air traffic control unit.
Keywords/Search Tags:Air Traffic Control, Operation Risk, Optimization Plan
PDF Full Text Request
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