TY - GEN
T1 - Robust airspace design methods for uncertain traffic and weather
AU - Yousefi, Arash
AU - Myers, Tim
AU - Mitchell, Joseph S.B.
AU - Kostitsyna, Irina
AU - Sharma, Rohit
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84894482527
U2 - 10.1109/DASC.2013.6712520
DO - 10.1109/DASC.2013.6712520
M3 - Conference contribution
AN - SCOPUS:84894482527
SN - 9781479915385
T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
SP - 1D21-1D211
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 -