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Title:

Data-Driven Analysis of Final Separation Between Successive Landing Aircraft

Accession Number:

01838845

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

In recent years, with the development of air traffic in China, airspace resources cannot keep up with the growth of traffic demand. Therefore, enhancement of runway capacity by reducing wake turbulence separation has become a research hotspot in the air traffic management field. As there are gaps between theory and practice, many scholars are doing practical operation-based evaluations, focusing on the final separations (intervals) between two successive aircraft. However, few studies have considered the impact of different controllers and the evolution of separations over time. This paper is dedicated to analyzing the final separations between leading and trailing aircraft based on the aircraft trajectories. This study carries out the final separation analysis from static and dynamic perspectives, considering the final separations under different traffic pressures, by different controllers, and in the different segregated and mixed operations. Guangzhou Baiyun International Airport (ZGGG) is taken as an experimental case. The results indicate that the final separation buffer decreases over time. Moreover, under the same high traffic pressures, the final separations could be used to compare the effectiveness of different controllers.

Supplemental Notes:

Yushi Gu https://orcid.org/0000-0003-0620-0364 © National Academy of Sciences: Transportation Research Board 2022.

Language:

English

Authors:

Gu, Yushi

ORCID 0000-0003-0620-0364

Zhang, Junfeng

ORCID 0000-0003-2384-3476

Zhou, Ming

ORCID 0000-0002-3382-9419

Wang, Bin

ORCID 0000-0001-5622-0860

Pagination:

pp 786-798

Publication Date:

2022-7

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2676
Issue Number: 7
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (27)

Geographic Terms:

China

Subject Areas:

Aviation; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; Terminals and Facilities

Files:

TRIS, TRB, ATRI

Created Date:

Mar 16 2022 3:06PM