TY - GEN
T1 - Airspace design with explicit utilization of convective weather forecast data for reduced traffic flow management actions
AU - Kostitsyna, Irina
AU - Mitchell, Joseph S.B.
AU - Yousefi, Arash
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84894484184
U2 - 10.1109/DASC.2013.6712519
DO - 10.1109/DASC.2013.6712519
M3 - Conference contribution
AN - SCOPUS:84894484184
SN - 9781479915385
T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
SP - 1D11-1D19
BT - 2013 IEEE/AIAA 32nd Digital Avionics Systems Conference, DASC 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 IEEE/AIAA 32nd Digital Avionics Systems Conference, DASC 2013
Y2 - 5 October 2013 through 10 October 2013
ER -