26th Congress of International Council of the Aeronautical Sciences
including the 8th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference
14 - 19 September 2008, Anchorage, Alaska, USA
Paper ICAS 2008-8.4.4

PREDICTIVE MODELS OF THE NATIONAL AIRSPACE SYSTEM USING BAYESIAN NETWORKS

T. A. Lauderdale
NASA, USA

Keywords: Bayesian Network, National Airspace System, Statistical Model

This paper presents a technique to model the national airspace system at a high level using Bayesian Networks. The model is created using historical data and predicts the number of aircraft in each center using the demand and capacity of the airports in that center and correlated centers as inputs.

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