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

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10CC16P
Agency Tracking Number: 095451
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2009
Solicitation Topic Code: A3.01
Solicitation Number: N/A
Small Business Information
Optimal Synthesis, Inc.
95 First Street, Suite 240, Los Altos, CA, 94022-2777
DUNS: 829385509
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Monish Tandale
 Principal Investigator
 (650) 559-8585
 monish@optisyn.com
Business Contact
 Victor Cheng
Title: Vice President
Phone: (650) 559-8585
Email: 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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