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Evaluation Of Control Workload And Capacity Based On Regional Airport

Posted on:2024-01-21Degree:MasterType:Thesis
Country:ChinaCandidate:K Y LiFull Text:PDF
GTID:2542307088995999Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
The evaluation of control load and airport capacity has always been a research hotspot,but the current evaluation method has poor curve fitting effect;in the case of high workload,the abnormal situation that the control workload decreases with the increase of flight volume;Problems such as high capacity evaluation value.The current evaluation method needs to be revised in order to obtain a more accurate evaluation method of regulatory load and capacity.This paper collects the relevant data of a small and medium-sized airport in North China during the busy months,and uses the improved DORATASK method to establish a control load evaluation model.Aiming at the above problems,the reasons for the errors in the model are analyzed,and it is determined that the errors in the model are caused by the call load.Through the mining of land and air call recording data,three new indicators are defined-information volume,call speed,and high-density information segment.The call load is preliminarily corrected by using the speech rate of the conversation,and the preliminary correction model of the control load is obtained.In the case of higher control load,the abnormal situation of negative correlation between control load and flight volume has not been reversed,and the model needs to be further revised.On the basis of the preliminary revised model,using the amount of information and high-density information segments,combined with other indicators related to call load,the principal component analysis method is used to establish a revised model of regulatory load.The preliminary revised model and revised model were compared and analyzed.The results show:(1)The goodness of fit R~2of the revised model is 0.984,which is 8.3%higher than that of the preliminary revised model,and the fitting effect is better;(2)Solved the problem that the control workload is negatively correlated with the flight volume in the case of high control load;(3)The airport capacity value determined according to the revised model is 16.7 sorties/hour,compared with the preliminary revised model,the error is reduced by26.8%,and the capacity evaluation result is more accurate.
Keywords/Search Tags:Air traffic control workload, flight volume, capacity assessment, principal component analysis, Curve Fitting
PDF Full Text Request
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