Collaborative Generation of Local Conflict Free Trajectories With Weather Hazards Avoidance

Andréas Guitart, Daniel Delahaye, Félix Mora Camino, Eric Feron

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper addresses the design of conflict free trajectories for sets of flights crossing areas subject to wind and meteorological hazards. After presenting the collaborative process based on first come first served principle, a dynamic Fast Marching Tree Star algorithm is proposed. The algorithm first computes initial avoidance trajectories and then updates them according to the new position of the hazard areas. Smart samplings are also proposed to reduce as much as possible the computing times. Indeed, the method generates in less than 1 second avoidance trajectories and guarantees safety. Then, a discussion on this method is conducted and shows its inequity. First simulations illustrate the proposed solution approach with promising results. However, to enhance equity between aircraft, the method is improved through a fairer collaborative process.
Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalIEEE Transactions on Intelligent Transportation Systems
DOIs
StatePublished - Jun 30 2023

ASJC Scopus subject areas

  • Mechanical Engineering
  • Automotive Engineering
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Collaborative Generation of Local Conflict Free Trajectories With Weather Hazards Avoidance'. Together they form a unique fingerprint.

Cite this