TY - GEN
T1 - Air traffic optimization on data-driven network flow model
AU - Marzuoli, Aude
AU - Gariel, Maxime
AU - Vela, Adan E.
AU - Feron, Eric
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-18
PY - 2011/12/28
Y1 - 2011/12/28
N2 - This paper presents a new framework for Traffic Flow Management and Airspace Health Monitoring based on data-driven approach for air traffic flows modeling using historical data. The large-scale 3-dimensional flow network of the Cleveland center airspace provides valuable insight on airspace complexity. A linear formulation of the Traffic Flow Management Problem is proposed, taking into account estimations of controller workload based on flow geometry. Preliminary results for the problem are discussed, pointing out clues for further research. © 2011 IEEE.
AB - This paper presents a new framework for Traffic Flow Management and Airspace Health Monitoring based on data-driven approach for air traffic flows modeling using historical data. The large-scale 3-dimensional flow network of the Cleveland center airspace provides valuable insight on airspace complexity. A linear formulation of the Traffic Flow Management Problem is proposed, taking into account estimations of controller workload based on flow geometry. Preliminary results for the problem are discussed, pointing out clues for further research. © 2011 IEEE.
UR - http://ieeexplore.ieee.org/document/6096052/
UR - http://www.scopus.com/inward/record.url?scp=84255204554&partnerID=8YFLogxK
U2 - 10.1109/DASC.2011.6096052
DO - 10.1109/DASC.2011.6096052
M3 - Conference contribution
SN - 9781612847979
BT - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
ER -