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Degree:Doctoral Degree in Engineering
School/Department:College of Civil Aviation

Xiangning Dong

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Gender:Male

Education Level:南京航空航天大学

Alma Mater:南京航空航天大学

Paper Publications

Sector Capacity Estimation Based on Differentiated Routes and Busy Levels
Date of Publication:2017-08-01 Hits:

Affiliation of Author(s):民航学院
Journal:Trans. Nanjing Univ. Aero. Astro.
Abstract:Sector capacity estimation plays an important role in applied research of airspace management. Previous researches manifest that sector capacity should be influenced by its standard flow, or routes in that sector. However, if air traffic controller (ATCO) workload busy levels (level of proactivity of an ATCO) are ignored, the estimated sector capacity may not be accurate. There is a need to compare the estimated sector capacity with and without busy levels consideration, both with differentiated routes consideration. This paper proposes a method for sector capacity estimation based on ATCO workload considering differentiated routes and busy levels. Firstly, the main routes in the sector are identified, and for each route, the ATCO workload per flight is determined. Secondly, the workload for each route at three busy levels is determined. Regression analysis is then applied to determine the relationship between workload and the number of flights (with and without considering busy levels) in 15 min and 1 h time slices. Sector capacity is then determined on the basis of a specified workload threshold, for the two cases with and without considering busy levels. Comparing the two scenarios and following validation by ATCO survey, it is found that capacity estimation considering busy levels is a more realistic and accurate approach. The validated capacity values for the Zhengzhou approach (ZHCC AP) airspace sector accounting for the busy levels were determined accurately as 10 and 33 flights for the 15 min and 1 h slices, respectively. The corresponding results without considering busy levels were 12 and 41 flights for the 15 min and 1 h time slices, respectively. © 2017, Editorial Department of Transactions of NUAA. All right reserved.
ISSN No.:1005-1120
Translation or Not:no
Date of Publication:2017-08-01
Co-author:hmh,Ochieng, Washington Yotto
Correspondence Author:Xiangning Dong
Date of Publication:2017-08-01