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
2011-10-01
604608 byte
Conference paper
Electronic Resource
English
Optimization Approach to Data-Driven Air Traffic Flow Management
Transportation Research Record | 2021
|Network traffic flow optimization under performance constraints
Online Contents | 2017
|Network traffic flow optimization under performance constraints
Elsevier | 2017
|Data-driven urban expressway macroscopic traffic flow modeling method
European Patent Office | 2023
|