<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T05:50:31Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/41245" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/41245</identifier><datestamp>2022-01-13T07:54:29Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Nancy Lynch.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Brown, Matthew D., M. Eng. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2008-04-23T14:35:11Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2008-04-23T14:35:11Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2007</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2007</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/41245</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">213330890</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 107-108).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Matthew D. Brown.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">108 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Air traffic control using Virtual Stationary Automata</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Air traffic control using VSAs</dim:field>
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   	&lt;Title>Air traffic control using Virtual Stationary Automata&lt;/Title>
   	&lt;Subtitle>Air traffic control using VSAs&lt;/Subtitle>
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   	&lt;PublicationDate>2007&lt;/PublicationDate>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;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.&lt;/Abstract>
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