Airspace design with explicit utilization of convective weather forecast data for reduced traffic flow management actions

I. Kostitsyna, J.S.B. Mitchell, A. Yousefi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

We demonstrate a method for airspace design that makes explicit use of weather forecast data, in addition to forecasted traffic data, to design sectors that potentially permit reduced traffic flow management actions. We use a local geometric optimization method to partition a portion of airspace into sectors while optimizing not only for load balancing, flow conformance and sector geometry, but also for providing lane options with respect to the weather forecast data.
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 pages9
ISBN (Electronic)978-1-4799-1538-5
ISBN (Print)978-1-4799-1537-8
DOIs
Publication statusPublished - 1 Oct 2013
Event32nd Digital Avionics Systems Conference (DASC) - East Syracuse, United States
Duration: 5 Oct 2013 → 10 Oct 2013

Conference

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

Keywords

  • aerospace instrumentation
  • air traffic control
  • optimisation
  • weather forecasting
  • airspace design
  • convective weather forecast data utilization
  • local geometric optimization method
  • reduced traffic flow management actions
  • traffic flow management action reduction
  • Atmospheric modeling
  • Geometry
  • Linear programming
  • Optimization
  • Throughput
  • Weather forecasting

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    • Cite this

    Kostitsyna, I., Mitchell, J. S. B., & Yousefi, A. (2013). Airspace design with explicit utilization of convective weather forecast data for reduced traffic flow management actions. In Proc. 32nd IEEE/AIAA Digital Avionics Systems Conference (DASC) [1D1] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DASC.2013.6712519