Strategic Deconfliction of 4D Trajectory and Perturbation Analysis for Air Traffic Control and Automation System

Strategic 4D trajectory conflict-free planning is recognized as one of the core technologies of next-generation air traffic control and automation systems. To resolve potential conflicts during strategic 4D conflict-free trajectory planning, a protection-zone conflict-control model based on air traf...

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Main Authors: Xinmin Tang, Yu Zhang, Ping Chen, Bo Li, Songchen Han
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2016/7028305
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author Xinmin Tang
Yu Zhang
Ping Chen
Bo Li
Songchen Han
author_facet Xinmin Tang
Yu Zhang
Ping Chen
Bo Li
Songchen Han
author_sort Xinmin Tang
collection DOAJ
description Strategic 4D trajectory conflict-free planning is recognized as one of the core technologies of next-generation air traffic control and automation systems. To resolve potential conflicts during strategic 4D conflict-free trajectory planning, a protection-zone conflict-control model based on air traffic control separation constraints was proposed, in which relationships between expected arrival time and adjusted arrival time at conflicting waypoints for aircraft queues were built and transformed into dynamic linear equations under the definition of max-plus algebra. A method for strategic deconfliction of 4D trajectory was then proposed using two strategies: arrival time adjustment and departure time adjustment. In addition, departure time and flight duration perturbations were introduced to analyze the sensitivity of the planned strategic conflict-free 4D trajectories, and a robustness index for the conflict-free 4D trajectories was calculated. Finally, the proposed method was tested for the Shanghai air traffic control terminal area. The outcomes demonstrated that the planned strategic conflict-free 4D trajectories could avoid potential conflicts, and the slack time could be used to indicate their robustness. Complexity analysis demonstrated that deconfliction using max-plus algebra is more suitable for deconfliction of 4D trajectory with random sampling period in fix air route.
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spelling doaj-art-f0ecc891adbe4199a38626bf7b0258de2025-02-03T05:53:12ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2016-01-01201610.1155/2016/70283057028305Strategic Deconfliction of 4D Trajectory and Perturbation Analysis for Air Traffic Control and Automation SystemXinmin Tang0Yu Zhang1Ping Chen2Bo Li3Songchen Han4College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaDepartment of Civil and Environmental Engineering, University of South Florida, Tampa, FL 33620, USAThe 28th Institute, China Electronics Technology Corporation, Nanjing 210007, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaStrategic 4D trajectory conflict-free planning is recognized as one of the core technologies of next-generation air traffic control and automation systems. To resolve potential conflicts during strategic 4D conflict-free trajectory planning, a protection-zone conflict-control model based on air traffic control separation constraints was proposed, in which relationships between expected arrival time and adjusted arrival time at conflicting waypoints for aircraft queues were built and transformed into dynamic linear equations under the definition of max-plus algebra. A method for strategic deconfliction of 4D trajectory was then proposed using two strategies: arrival time adjustment and departure time adjustment. In addition, departure time and flight duration perturbations were introduced to analyze the sensitivity of the planned strategic conflict-free 4D trajectories, and a robustness index for the conflict-free 4D trajectories was calculated. Finally, the proposed method was tested for the Shanghai air traffic control terminal area. The outcomes demonstrated that the planned strategic conflict-free 4D trajectories could avoid potential conflicts, and the slack time could be used to indicate their robustness. Complexity analysis demonstrated that deconfliction using max-plus algebra is more suitable for deconfliction of 4D trajectory with random sampling period in fix air route.http://dx.doi.org/10.1155/2016/7028305
spellingShingle Xinmin Tang
Yu Zhang
Ping Chen
Bo Li
Songchen Han
Strategic Deconfliction of 4D Trajectory and Perturbation Analysis for Air Traffic Control and Automation System
Discrete Dynamics in Nature and Society
title Strategic Deconfliction of 4D Trajectory and Perturbation Analysis for Air Traffic Control and Automation System
title_full Strategic Deconfliction of 4D Trajectory and Perturbation Analysis for Air Traffic Control and Automation System
title_fullStr Strategic Deconfliction of 4D Trajectory and Perturbation Analysis for Air Traffic Control and Automation System
title_full_unstemmed Strategic Deconfliction of 4D Trajectory and Perturbation Analysis for Air Traffic Control and Automation System
title_short Strategic Deconfliction of 4D Trajectory and Perturbation Analysis for Air Traffic Control and Automation System
title_sort strategic deconfliction of 4d trajectory and perturbation analysis for air traffic control and automation system
url http://dx.doi.org/10.1155/2016/7028305
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AT boli strategicdeconflictionof4dtrajectoryandperturbationanalysisforairtrafficcontrolandautomationsystem
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