A data-driven approach to modeling high-density terminal areas: A scenario analysis of the new Beijing, China airspace

Li, Max Z.; Ryerson, Megan S.

doi:10.1016/j.cja.2016.12.030

Cited by 22 publications

(4 citation statements)

References 11 publications

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“…The development of new airports (e.g. the future Beijing Daxing International airport serving the JingJinJi megaregion) and the continuous expansion of existing ones in major metropolitan areas (Li et al, 2017), as well as the increasing occurrence of Metroplex phenomena even in smaller airport systems (Atkins et al, 2011), all underline the significance of MAS as a key component of the modern ATM system.…”

Section: Background and Literaturementioning

confidence: 99%

A framework for the optimization of terminal airspace operations in Multi-Airport Systems

Sidiropoulos

Majumdar

Han

2018

Transportation Research Part B: Methodological

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Section: Background and Literaturementioning

confidence: 99%

A framework for the optimization of terminal airspace operations in Multi-Airport Systems

Sidiropoulos

Majumdar

Han

2018

Transportation Research Part B: Methodological

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“…Current airspace planning and evaluation approaches are primarily based on human experiences, and cannot provide satisfactory airspace planning solutions. By contrast, data-driven evaluation approaches rely on simulation and practical data analysis to expose airspace operation and flight status in a more cost-effective, safe, meticulous, scientific and quantitative manner [1][2][3]. They are evolving into an indispensable procedure for ensuring the safety and efficiency of airspace.…”

Section: Introductionmentioning

confidence: 99%

Plithogenic multi‐criteria decision making approach on airspace planning scheme evaluation based on ATC‐flight real‐time simulation

Liang

Han

et al. 2022

IET Intelligent Trans Sys

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Airspace planning scheme evaluation based on ATC-Flight real-time simulation which incorporates air traffic control simulator and flight simulator has become increasingly important. It has irreplaceable advantages of truly simulating and in-depth evaluating airspace operation, especially for analyzing human factors. As a multi-criteria decision making (MCDM) problem, it poses challenges which this study aims to overcome from three aspects. Firstly, the complexity of airspace and the characteristics of ATC-Flight realtime simulation are analyzed to build a multi-criteria evaluation system. The criteria include air traffic flow, airspace operational performance, flight procedure quality, cost, controller workload and pilot workload. Secondly, a novel weighting method based on plithogenic set is presented to derive robust subjective criteria weights from a group of human decision makers. The subjective weights are then combined with objective weights using game theory to determine cumulative criteria weights. Thirdly, technique for order preference by similarity to ideal solution (TOPSIS) and grey correlation analysis are integrated to perform comprehensive evaluation and ranking. The first series of ATC-Flight real-time simulations in China are conducted to illustrate a case study. The results demonstrated that the proposed MCDM approach could improve the accuracy and discriminability of evaluation results, and outperformed other existing well-known MCDM algorithms.

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“…However, the integration of a CCO-operating technique in a Terminal Manoeuvring Area (TMA) requires the analysis of one of the most important parameters on airport planning, which is capacity. This Key Performance Area (KPA), which is one of the eleven KPAs defined by ICAO, at high-density terminal areas motivated the interesting work presented by Li et al [6]. The model introduced for terminal area design is mainly focused on arrival trajectories.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Departure Runway Capacity Effects of Integrating Optimized Continuous Climb Operations

Díaz

Comendador

García-Heras

et al. 2019

International Journal of Aerospace Engineering

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Performing Continuous Climb Operation (CCO) procedures enable the reduction of the environmental footprint and the improvement of the trajectory efficiency when individually operated. However, its operation may affect negatively the overall operational efficiency at Terminal Manoeuvring Areas (TMAs). The estimation of capacity is a matter of paramount importance to all airport planning and analyzing the capacity effects of this particular operational technique on a certain scenario will definitely help on evaluating its potential applicability. In this paper, departure runway capacity at the Adolfo Suárez Madrid-Barajas airport was operationally evaluated when introducing CCOs. The considered trajectories consisted of multiobjective optimized CCOs based on the optimal control theory, using the pseudospectral direct numerical method. These scenarios allowed addressing of the incremental variations of CCOs versus conventional departures, through fast time simulation, with the objective to assess the effects on the operations.

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A data-driven approach to modeling high-density terminal areas: A scenario analysis of the new Beijing, China airspace

Cited by 22 publications

References 11 publications

A framework for the optimization of terminal airspace operations in Multi-Airport Systems

A framework for the optimization of terminal airspace operations in Multi-Airport Systems

Plithogenic multi‐criteria decision making approach on airspace planning scheme evaluation based on ATC‐flight real‐time simulation

Analyzing the Departure Runway Capacity Effects of Integrating Optimized Continuous Climb Operations

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