A Method for Assessing Airspace Efficiency in Super Density Operations Using an Airspace Phase State Approach

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX12CF28P
Agency Tracking Number: 114101
Amount: $124,988.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solicitation Year: 2011
Solicitation Topic Code: A3.01
Solicitation Number: N/A
Small Business Information
205 Skimino Landing Drive, Williamsburg, VA, 23188-2251
DUNS: 830544909
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Bruce Holmes
 Principal Investigator
 (757) 207-0966
Business Contact
 Bruce Holmes
Title: Business Official
Phone: (757) 207-0966
Email: bruce.holmes@nextgenaerosciences.com
Research Institution
One of the challenges to assessing NextGen operational improvements in the National Airspace System (NAS) lies in the ability to understand and measure the efficiencies associated with new concepts and technologies, including the effects of integrating traffic controls for the most optimal results. Existing approaches for studying air traffic management concepts have explored methods for understanding airspace complexity based on flight path geometries, airspace architectures, and pilot/controller workloads. These approaches have been largely based on phenomenological and heuristic studies that provide important, but limited, understanding of causal factors and minimum predictive power over long look-ahead times. The recent development of dynamic trajectory algorithms by NextGen AeroSciences, LLC (NextAero) provides the ability to compute the phase states of the airspace in future time, based on principles from traffic physics, phase transitions, and the science of Complex Adaptive Systems. In a Phase I project, NextAero proposes to establish the feasibility of phase state analysis as a tool for assessing the benefits of NextGen concepts in the densest airspace. If shown to be feasible, this computational tool will provide a viable means of computing, predicting, and managing airspace phase states from satisfiable (uncongested) to unsatisfiable (congested) conditions, as affected by various NextGen concepts.

* Information listed above is at the time of submission. *

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