Title :
Large-scale data-based collaborative air traffic optimization for congestion management
Abstract :
In this paper the NAS-wide data-based network flow model built was discussed. The paper also gives insight on the structure of the airspace, its connectivity and how congestion can snowball and also the destination-aggregated multi-commodity large scale flow model. A decision support tools was used to predict and mitigate congestion.
Keywords :
air traffic control; decision support systems; optimisation; NAS-wide data-based network flow model; congestion management; decision support tools; destination-aggregated multicommodity large scale flow model; large-scale data-based collaborative air traffic optimization; Earth; History; Moon; Orbits; Space missions; Space vehicles;
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2013 IEEE/AIAA 32nd
Conference_Location :
East Syracuse, NY
Print_ISBN :
978-1-4799-1536-1
DOI :
10.1109/DASC.2013.6712666