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Network-wide robust and resilient metaheuristic trajectory optimization under thunderstorm disruptions

Lavandier, Julien and Delahaye, Daniel and Gonzalez-Arribas, Daniel and Garcia, Javier and Soler, Manuel and Koyuncu, Emre and Aksoy, Muhammet and Munoz, Andres and Pons, Jordi and Prats, Xavier and Zopp, Raimund and Kuenz, Alexander (2022) Network-wide robust and resilient metaheuristic trajectory optimization under thunderstorm disruptions. In: 12th EASN International Conference on Innovation in Aviation and Space for opening New Horizons, EASN 2022. 12th EASN International Conference on Innovation in Aviation and Space for opening New Horizons, EASN 2022, 2022-10-18 - 2022-10-21, Barcelona, Spanien.

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Abstract

Network-wide robust and resilient trajectory planning is realized after the uncertainty propagations at trajectory and ATM levels. The inputs are the 4D trajectories with uncertainty and the delays applied to trajectories for network resiliency. The delays only shift the trajectories in time. The output is a set of algorithmic solutions for optimal trajectory selection under high complexity situations. According to the START concept, a proposed rerouting and/or rescheduling solution of the user-preferred flight plan is proposed to improve the resiliency and robustness of overall planning. The optimization process is realized using the simulated annealing metaheuristic to find the optimal rerouting and delays for each flight. The objective function of this optimization problem is a complexity metric function, based on Linear Dynamical System. This metric can consider uncertainty in the 4D trajectories. However, the computation of such metric requires extensive computation time. We proposed GPU-based concept to speed up the metric computation. We have found that the proposed GPU-based concept can potentially provide the desired performance and prove the computational viability of the START project. Nevertheless, our findings are not uniformly positive, as the reliance on single-precision arithmetic (on which current GPUs provide substantially higher throughput) seems to have proved more problematic than our previous expectation. The global air traffic complexity is reduced by a factor of six hundred from around 120 to 0.2. It corresponds to a better organization of the traffic. In fact, the complexity is mainly due to very few flights. The complexity reduction decreases the potential number of conflicts, because there are less converging air traffic situations.

Item URL in elib:https://elib.dlr.de/189573/
Document Type:Conference or Workshop Item (Speech)
Title:Network-wide robust and resilient metaheuristic trajectory optimization under thunderstorm disruptions
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lavandier, JulienUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Delahaye, DanielUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Gonzalez-Arribas, DanielUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Garcia, JavierUC3MUNSPECIFIEDUNSPECIFIED
Soler, ManuelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Koyuncu, EmreUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Aksoy, MuhammetITUUNSPECIFIEDUNSPECIFIED
Munoz, AndresUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pons, JordiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Prats, XavierUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zopp, RaimundUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kuenz, AlexanderUNSPECIFIEDhttps://orcid.org/0000-0001-5192-8894UNSPECIFIED
Date:19 October 2022
Journal or Publication Title:12th EASN International Conference on Innovation in Aviation and Space for opening New Horizons, EASN 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Trajectory optimization, CPU vs GPU
Event Title:12th EASN International Conference on Innovation in Aviation and Space for opening New Horizons, EASN 2022
Event Location:Barcelona, Spanien
Event Type:international Conference
Event Start Date:18 October 2022
Event End Date:21 October 2022
Organizer:EASN
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Integrated Flight Guidance
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Pilot Assistance
Deposited By: Kuenz, Dr. Alexander
Deposited On:10 Nov 2022 12:02
Last Modified:24 Apr 2024 20:50

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