Modeling and Strategic Flow Management Using Decomposition Method
Dengfeng Sun, Alexandre Bayen
INFORMS Annual Meeting 2007, Seattle, Nov 4-7, 2007
Abstract: A new Eulerian-Lagrangian Cell Transmission Model for air traffic flow is developed on a graph-theoretic network flow model constructed from historical air traffic data. The predictive capabilities of the model are successfully validated against recorded air traffic data. A large-scale optimization problem of controlling sector aircraft counts over the National Airspace System is posed as a Mixed Integer Linear Program. The problem is solved using dual decomposition method.
Session title: Air Traffic Management
chair: Michael Ball,Professor, University of Maryland, Robert H Smith School of Business, College Park MD 20742, United States, firstname.lastname@example.org
Session time and
location: Tuesday, Nov 6, 2007