Two perspectives on graph-based traffic flow management

Aude Marzuoli, Vlad Popescu, Eric Feron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


New en-route Traffic Flow Management (TFM) tools are needed to handle the predicted air traffic growth by mitigating congestion, reducing delays and maintaining high safety levels. A large-scale graph abstraction of traffic through an airspace center is extracted from historical navigation data. The network graph model represents aggregated air traffic flows through the airspace. Although exemplified for a typical center, the methodology is generalizable to any airspace. The network is used to support two perspectives on TFM: a centralized approach based on network flow optimization with workload-derived sector constraints, and a decentralized approach based on mean field games.
Original languageEnglish (US)
Title of host publicationSIDs 2011 - Proceedings of the SESAR Innovation Days
ISBN (Print)9782874970245
StatePublished - Jan 1 2011
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2021-02-18


Dive into the research topics of 'Two perspectives on graph-based traffic flow management'. Together they form a unique fingerprint.

Cite this