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.
Air traffic optimization on data-driven network flow model
2011 IEEE/AIAA 30th Digital Avionics Systems Conference ; 3C1-1-3C1-15
01.10.2011
604608 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Optimization Approach to Data-Driven Air Traffic Flow Management
Transportation Research Record | 2021
|Flow count data-driven static traffic assignment models through network modularity partitioning
Springer Verlag | 2025
|