Skip to Main content Skip to Navigation
Conference papers

Allocating 3D-trajectories to air traffic flows using A* and genetic algorithms

Abstract : This paper introduces two methods, tested on a toy problem, which allocate optimal separated 3D-trajectories to air traffic flows. The first approach is a 1 vs n strategy which applies an A* algorithm iteratively to each flow. The second is a global approach using a genetic algorithm, applied to a population of trajectory sets.
Document type :
Conference papers
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal-enac.archives-ouvertes.fr/hal-01020102
Contributor : Céline Smith <>
Submitted on : Monday, July 7, 2014 - 5:07:52 PM
Last modification on : Tuesday, June 2, 2020 - 12:10:09 PM
Document(s) archivé(s) le : Tuesday, April 11, 2017 - 10:19:23 AM

File

Gianazza_CIMCA2004.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01020102, version 1

Collections

Citation

David Gianazza, Nicolas Durand, Nicolas Archambault. Allocating 3D-trajectories to air traffic flows using A* and genetic algorithms. CIMCA 2004, international conference on Computational Intelligence for Modelling, Control and Automation, Jul 2004, Gold Coast, Australia. pp xxxx. ⟨hal-01020102⟩

Share

Metrics

Record views

250

Files downloads

183