Modeling Air Traffic Management Technologies With a Queuing Network Model of the National Airspace System

  • Authors:

  • Long Dou;Lee David A.;Johnson Jesse;Gaier Eric M.;Kostiuk Peter F.

  • Affiliations:

  • -;-;-;-;-

  • Venue:
  • Modeling Air Traffic Management Technologies With a Queuing Network Model of the National Airspace System
  • Year:
  • 1999

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Abstract

This report describes an integrated model of air traffic management (ATM) tools under development in two National Aeronautics and Space Administration (NASA) programs -- Terminal Area Productivity (TAP) and Advanced Air Transport Technologies (AATT). The model is made by adjusting parameters of LMINET, a queuing network model of the National Airspace System (NAS), which the Logistics Management Institute (LMI) developed for NASA. Operating LMINET with models of various combinations of TAP and AATT will give quantitative information about the effects of the tools on operations of the NAS. The costs of delays under different scenarios are calculated. An extension of Air Carrier Investment Model (ACIM) under ASAC developed by the Institute for NASA Maps the technologies; impacts on NASA operations into cross-comparable benefits estimates for technologies and sets of technologies.