Integrating and sequencing flows in terminal maneuvering area by evolutionary algorithms

Catya Zuniga 1 Daniel Delahaye 2 Miquel Angel Piera 3
1 MAIA-OPTIM - ENAC Equipe MAIAA-OPTIM
MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
2 MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
3 Telecommunications and Systems Engineering
Abstract : This paper presents a new approach for merging multiple aircraft flows in a Terminal Maneuvering Area (TMA). This work is motivated by the current overloaded airspace near large airports and the need of more efficient methods to help controllers. Some attempts to alleviate airspace congestion such as the minimum spacing requirements, negotiation of voluntary reductions in scheduled service, and the construction of additional runways at major airports have been done. Even though, more fundamental changes are needed to improve the use of available air capacity. Present research consists of a new approach to optimize a set of aircraft planned to land at a given airport; it is proposed to merge the incoming flows from different routes by mean of speed and path changes. Due to the high combinatoric induced by such a problem, a stochastic optimization algorithm has been developed in order to propose to each aircraft a new route and speed profile. Those changes aim to remove conflicts at merging points and to maintain separation of aircraft following the same route link according to their wake turbulence constraint. The optimization criteria is based on the minimum deviation from the initial path planning. This algorithm has been successfully applied to Gran Canaria airport in Spain with real traffic demand samples for which conflict free flow merging is produced smoothly with optimal runway feeding.
Document type :
Conference papers
Complete list of metadatas

Cited literature [22 references]  Display  Hide  Download
https://hal-enac.archives-ouvertes.fr/hal-00912819
Contributor : Céline Smith <>
Submitted on : Monday, January 27, 2014 - 9:09:45 AM
Last modification on : Wednesday, July 24, 2019 - 11:48:02 PM
Long-term archiving on: Sunday, April 27, 2014 - 10:16:30 PM

File

Zuniga_DASC2011.pdf
Files produced by the author(s)

Identifiers

Collections

MAIAA | MAIAA-OPTIM | INSMI | ENAC | TDS-MACS | OPTIM

Citation

Catya Zuniga, Daniel Delahaye, Miquel Angel Piera. Integrating and sequencing flows in terminal maneuvering area by evolutionary algorithms. DASC 2011, 30th IEEE/AIAA Digital Avionics Systems Conference, Oct 2011, Seattle, United States. pp 1-32 ; ISBN : 978-1-61284-797-9, ⟨10.1109/DASC.2011.6096177⟩. ⟨hal-00912819⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

301

Files downloads

838