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Distributed Decision-Making Models for Advanced Air/Ground Traffic Management

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: N/A
Agency Tracking Number: NASA460
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2001
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Karen Harper
 Principal Scientist
 (617) 491-3474
 kharper@cra.com
Business Contact
 Dr.Greg L Zacharias
Title: President
Phone: (617) 491-3474
Email: glz@cra.com
Research Institution
N/A
Abstract

In the transition from current Air Traffic Management (ATM) practices to the envisioned Distributed Air-Ground Traffic Management (DAG-TM) environment, inter-aircraft negotiation protocols will prove to be a key driver in shaping the balance between traffic safety, flow rates, and individual carrier operating objectives. We propose to develop an agent-based simulation that will serve as a tool to explore these issues, by upgrading our existing in-house ATM simulation to include one or more state-of-the-art human decision-making models best suited for the ATM environment. We first propose to survey several modeling approaches that have potential in the ATM context, and then evaluate these models across a number of decision-making criteria, including: social welfare, individual rationality, stability, computational efficiency, scalability, and convergence. We will then implement one or more of the most promising decision-making models within an existing agent-based architecture, evaluate the representational fidelity of these agent-based models, and assess their utility in predicting the impact of different protocols on overall air traffic operations. We will also assess usability from the standpoint of the system designer in formulating effective negotiation guidelines for future ATM practices.

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

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