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 language | English |
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Title of host publication | Proc. 32nd IEEE/AIAA Digital Avionics Systems Conference (DASC) |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 9 |
ISBN (Electronic) | 978-1-4799-1538-5 |
ISBN (Print) | 978-1-4799-1537-8 |
DOIs | |
Publication status | Published - 1 Oct 2013 |
Event | 32nd Digital Avionics Systems Conference (DASC) - East Syracuse, United States Duration: 5 Oct 2013 → 10 Oct 2013 |
Conference
Conference | 32nd Digital Avionics Systems Conference (DASC) |
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Country/Territory | United States |
City | East Syracuse |
Period | 5/10/13 → 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