TY - GEN
T1 - Data visualization techniques for airspace flow modeling
AU - Marzuoli, Aude
AU - Hurter, Christophe
AU - Feron, Eric
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-18
PY - 2012/12/1
Y1 - 2012/12/1
N2 - With the predicted growth of air traffic, traffic flow managers need new tools to access information to support their decision making processes. Recent progress with information visualization tools enables users to explore large data sets and extract decisive knowledge. Their advantages for air traffic applications are presented in this paper. They can provide high level information to aggregate trajectories. With constant feedback due to human perception, a flow model of the airspace, reflecting its intrinsic structure, is elaborated and can be used for further research. © 2012 IEEE.
AB - With the predicted growth of air traffic, traffic flow managers need new tools to access information to support their decision making processes. Recent progress with information visualization tools enables users to explore large data sets and extract decisive knowledge. Their advantages for air traffic applications are presented in this paper. They can provide high level information to aggregate trajectories. With constant feedback due to human perception, a flow model of the airspace, reflecting its intrinsic structure, is elaborated and can be used for further research. © 2012 IEEE.
UR - http://ieeexplore.ieee.org/document/6382187/
UR - http://www.scopus.com/inward/record.url?scp=84872368900&partnerID=8YFLogxK
U2 - 10.1109/CIDU.2012.6382187
DO - 10.1109/CIDU.2012.6382187
M3 - Conference contribution
SN - 9781467346252
SP - 79
EP - 86
BT - Proceedings - 2012 Conference on Intelligent Data Understanding, CIDU 2012
ER -