Original scientific paper
https://doi.org/10.7307/ptt.v33i5.3786
Identifying Operational Benefits of the Arrival Management System – A KPI-Based Experimental Method by Evaluating Radar Trajectories
Songwei Liu
; Nanjing University of Aeronautics and Astronautics, College of Civil Aviation
Junfeng Zhang
; Nanjing University of Aeronautics and Astronautics, College of Civil Aviation
Zihan Peng
; Nanjing University of Aeronautics and Astronautics, College of Civil Aviation
Haipeng Guo
; Central and Southern Regional Air Traffic Management Bureau of the Civil Aviation Administration of China
Anle Pi
; Hunan Branch of Central and Southern Regional Air Traffic Management Bureau of the Civil Aviation Administration of China
Abstract
The arrival management (AMAN) system is a decision support tool for air traffic controllers to establish and maintain the landing sequence for arrival aircraft. The original intention of designing the AMAN system is to improve the efficiency of air traffic management (ATM), but few studies are investigating the operational benefits of this system based on key performance indicators (KPIs) and evaluating actual data in a real-time environment. The main purpose of this paper is to propose a KPI based transferable comparative analysis method for identifying the operational benefits of the AMAN through radar trajectories. Firstly, six KPIs are established from a joint study of the mainstream ATM performance frameworks worldwide. Secondly, appropriate evaluation technique approaches are determined according to the characteristics of each KPI. Finally, a Chinese metropolitan airport is taken for the case study, and three periods are defined to form data samples with high similarity for comparative experiments. The results validate the feasibility of the proposed method and find comprehensive performance improvements in arrival operations under the effects of the AMAN system.
Keywords
arrival management; key performance indicator; benefit evaluation; air traffic management
Hrčak ID:
270917
URI
Publication date:
8.10.2021.
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