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

Abstract 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 fo...

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Main Authors: Binbin Liang, Songchen Han, Wei Li, Yunxiang Han, Fan Liu, Ying Zhang, Chen Lin
Format: Article
Language:English
Published: Wiley 2022-11-01
Series:IET Intelligent Transport Systems
Online Access:https://doi.org/10.1049/itr2.12226
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author Binbin Liang
Songchen Han
Wei Li
Yunxiang Han
Fan Liu
Ying Zhang
Chen Lin
author_facet Binbin Liang
Songchen Han
Wei Li
Yunxiang Han
Fan Liu
Ying Zhang
Chen Lin
author_sort Binbin Liang
collection DOAJ
description Abstract 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 real‐time 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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spelling doaj.art-01a12545388e4da79abbf75fd49047872022-12-22T04:30:15ZengWileyIET Intelligent Transport Systems1751-956X1751-95782022-11-0116111471148810.1049/itr2.12226Plithogenic multi‐criteria decision making approach on airspace planning scheme evaluation based on ATC‐flight real‐time simulationBinbin Liang0Songchen Han1Wei Li2Yunxiang Han3Fan Liu4Ying Zhang5Chen Lin6School of Aeronautics and Astronautics Sichuan University Chengdu ChinaSchool of Aeronautics and Astronautics Sichuan University Chengdu ChinaSchool of Aeronautics and Astronautics Sichuan University Chengdu ChinaNational Key Laboratory of Fundamental Science on Synthetic Vision Sichuan University Chengdu ChinaAir Traffic Management Bureau of Civil Aviation Administration of China Beijing ChinaAir Traffic Management Bureau of Civil Aviation Administration of China Beijing ChinaAir Traffic Management Bureau of Civil Aviation Administration of China Beijing ChinaAbstract 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 real‐time 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.https://doi.org/10.1049/itr2.12226
spellingShingle Binbin Liang
Songchen Han
Wei Li
Yunxiang Han
Fan Liu
Ying Zhang
Chen Lin
Plithogenic multi‐criteria decision making approach on airspace planning scheme evaluation based on ATC‐flight real‐time simulation
IET Intelligent Transport Systems
title Plithogenic multi‐criteria decision making approach on airspace planning scheme evaluation based on ATC‐flight real‐time simulation
title_full Plithogenic multi‐criteria decision making approach on airspace planning scheme evaluation based on ATC‐flight real‐time simulation
title_fullStr Plithogenic multi‐criteria decision making approach on airspace planning scheme evaluation based on ATC‐flight real‐time simulation
title_full_unstemmed Plithogenic multi‐criteria decision making approach on airspace planning scheme evaluation based on ATC‐flight real‐time simulation
title_short Plithogenic multi‐criteria decision making approach on airspace planning scheme evaluation based on ATC‐flight real‐time simulation
title_sort plithogenic multi criteria decision making approach on airspace planning scheme evaluation based on atc flight real time simulation
url https://doi.org/10.1049/itr2.12226
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