Robust airspace design methods for uncertain traffic and weather

A. Yousefi, T. Myers, J.S.B. Mitchell, I. Kostitsyna, R.R. Sharma

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

We present a robust optimization framework for performing Dynamic Airspace Configuration (DAC) integrated with Traffic Flow Management (TFM) under weather uncertainties. We extend the existing cell-based Mixed Integer Programming (MIP) model along with the GeoSect sectorization method to incorporate probabilistic weather predictions in airspace sectorization. An ensemble generation method is devised to take a probabilistic weather forecast and generate weather ensembles. The weather ensembles are then fed into a TFM agent developed to compute weather avoidance 4D trajectories (4DT) and to create traffic ensembles. Robust sectorization algorithms use traffic and weather ensembles to produce robust sector boundaries that are feasible and close to optimal for each of the traffic ensembles. Several experiments are presented for testing the degree of robustness of generated sectors across different traffic ensembles.
Original languageEnglish
Title of host publicationProc. 32nd IEEE/AIAA Digital Avionics Systems Conference (DASC)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages11
ISBN (Electronic)978-1-4799-1538-5
DOIs
Publication statusPublished - 1 Oct 2013
Externally publishedYes
Event32nd Digital Avionics Systems Conference (DASC) - East Syracuse, United States
Duration: 5 Oct 201310 Oct 2013

Conference

Conference32nd Digital Avionics Systems Conference (DASC)
CountryUnited States
CityEast Syracuse
Period5/10/1310/10/13

Keywords

  • air traffic
  • air traffic control
  • integer programming
  • probability
  • robust control
  • trajectory control
  • 4D trajectories
  • 4DT
  • ARTCCs
  • DAC
  • GeoSect sectorization method
  • MIP model
  • TFM
  • air traffic control centers
  • airspace sectorization
  • dynamic airspace configuration
  • mixed integer programming
  • probabilistic weather predictions
  • robust airspace design methods
  • robust optimization framework
  • robust sectorization algorithms
  • traffic flow management
  • uncertain traffic
  • uncertain weather
  • weather avoidance
  • weather uncertainties
  • Atmospheric modeling
  • Optimization
  • Robustness
  • Trajectory
  • Uncertainty
  • Weather forecasting

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  • Cite this

    Yousefi, A., Myers, T., Mitchell, J. S. B., Kostitsyna, I., & Sharma, R. R. (2013). Robust airspace design methods for uncertain traffic and weather. In Proc. 32nd IEEE/AIAA Digital Avionics Systems Conference (DASC) [1D2] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DASC.2013.6712520