Stochastic Queuing Model Analysis to Support Airspace Super Density Operations (ASDO)

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$100,000.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
NNX10CC16P
Agency Tracking Number:
095451
Solicitation Year:
n/a
Solicitation Topic Code:
A3
Solicitation Number:
n/a
Small Business Information
Optimal Synthesis, Inc.
95 First Street, Suite 240, Los Altos, CA, 94022
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
829385509
Principal Investigator:
Monish Tandale
Principal Investigator
(650) 559-8585
monish@optisyn.com
Business Contact:
Victor Cheng
Vice President
(650) 559-8585
vcheng@optisyn.com
Research Institution:
n/a
Abstract
NASA has been involved in extensive research efforts to develop advanced concepts, technologies, and procedures for the Next Generation Air Transportation System (NextGen). The research focus area Airspace Super-Density Operations (ASDO) pertains to highly efficient operations at the busiest airports and terminal airspace. Deterministic analysis of the proposed NextGen concepts may not be sufficient, as inability of aircraft to adhere to flight schedules exactly and operational uncertainties may significantly alter the effectiveness of the proposed concepts. The primary objective of this research proposal is to create a High-Fidelity Queuing Model of the Terminal Area and a Framework for Performing Time-Varying Stochastic Analysis of Terminal Area Operations with regards to Input Schedule and Operational Uncertainties. This Queuing Model can be used to evaluate the interaction and combined performance of multiple NextGen concepts in the ASDO research focus area. The Phase I effort will develop a sample Queuing Network Model for a moderately complex terminal area, e.g. JFK. The utility of the developed Queuing Model and Analysis Techniques will be illustrated using two case-studies in the JFK terminal area. Phase II research effort proposes to develop integrated surface/terminal area queuing model of a Metroplex. Stochastic analysis of the Metroplex will be accelerated in Phase II using Graphics Processing Units.

* information listed above is at the time of submission.

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