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Air traffic control using Virtual Stationary Automata

Author(s)
Brown, Matthew D., M. Eng. Massachusetts Institute of Technology
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Alternative title
Air traffic control using VSAs
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Nancy Lynch.
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M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
As air travel has become an essential part of modern life, the air traffic control system has become strained and overworked. This problem is occurring because the capacity of the current air traffic control system is severely limited by the capabilities of its human operators. Therefore, if we are to increase the capacity of the air traffic control system, then we must develop new automated systems for air traffic control. In my thesis, I take a distributed approach to automated air traffic control. I use a wireless ad-hoc network to simulate a layer of Virtual Stationary Automata, or VSAs, which are virtual machines located at fixed locations in space. These VSAs can then be used to help coordinate the aircraft in the air traffic control system. I model the air traffic control system as a directed graph, showing how the continuous real world air traffic can be abstracted into a discrete graph representation. Using this graph representation, I provide two algorithms to perform safe and efficient air traffic control and prove their effectiveness.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
 
Includes bibliographical references (p. 107-108).
 
Date issued
2007
URI
http://hdl.handle.net/1721.1/41245
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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