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		<title>Scipediacontent: Scipediacontent moved page Draft Content 852188805 to Mercer et al 2014a</title>
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		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_852188805&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 852188805&quot;&gt;Draft Content 852188805&lt;/a&gt; to &lt;a href=&quot;/public/Mercer_et_al_2014a&quot; title=&quot;Mercer et al 2014a&quot;&gt;Mercer et al 2014a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 23:50, 28 January 2021&lt;/td&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

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		<id>https://www.scipedia.com/wd/index.php?title=Mercer_et_al_2014a&amp;diff=195941&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  The Airspace Operations Laboratory at NASA Ames conducts research to provide a better understanding of roles, responsibilities, and requirements for human ope...&quot;</title>
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		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  The Airspace Operations Laboratory at NASA Ames conducts research to provide a better understanding of roles, responsibilities, and requirements for human ope...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
The Airspace Operations Laboratory at NASA Ames conducts research to provide a better understanding of roles, responsibilities, and requirements for human operators and automation in future air traffic management (ATM) systems. The research encompasses developing, evaluating, and integrating operational concepts and technologies for near-, mid-, and far-term air traffic operations. Current research threads include efficient arrival operations, function allocation in separation assurance and efficient airspace and trajectory management. The AOL has developed powerful air traffic simulation capabilities, most notably the Multi Aircraft Control System (MACS) that is used for many air traffic control simulations at NASA and its partners in government, academia and industry. Several additional NASA technologies have been integrated with the AOL's primary simulation capabilities where appropriate. Using this environment, large and small-scale system-level evaluations can be conducted to help make near-term improvements and transition NASA technologies to the FAA, such as the technologies developed under NASA’s Air Traffic Management Demonstration-1 (ATD-1). The AOL’s rapid prototyping and flexible simulation capabilities have proven a highly effective environment to progress the initiation of trajectory-based operations and support the mid-term implementation of NextGen. Fundamental questions about accuracy requirements have been investigated as well as realworld problems on how to improve operations in some of the most complex airspaces in the US. This includes using advanced trajectory-based operations and prototype tools for coordinating arrivals to converging runways at Newark airport and coordinating departures and arrivals in the San Francisco and the New York metro areas. Looking beyond NextGen, the AOL has started exploring hybrid human/automation control strategies as well as highly autonomous operations in the air traffic control domain. Initial results indicate improved capacity, low operator workload, good situation awareness and acceptability for controllers teaming with autonomous air traffic systems. While much research and development needs to be conducted to make such concepts a reality, these approaches have the potential to truly transform the airspace system towards increased mobility, safe and efficient growth in global operations and enabling many of the new vehicles and operations that are expected over the next decades. This paper describes how the AOL currently contributes to the ongoing air transportation transformation.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://pdfs.semanticscholar.org/e62d/6979cb44c8d1232f74d3c6ede57714c722f4.pdf http://pdfs.semanticscholar.org/e62d/6979cb44c8d1232f74d3c6ede57714c722f4.pdf]&lt;br /&gt;
&lt;br /&gt;
* [http://arc.aiaa.org/doi/pdf/10.2514/6.2014-2860 http://arc.aiaa.org/doi/pdf/10.2514/6.2014-2860],&lt;br /&gt;
: [http://dx.doi.org/10.2514/6.2014-2860 http://dx.doi.org/10.2514/6.2014-2860]&lt;br /&gt;
&lt;br /&gt;
* [https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20140012038.pdf https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20140012038.pdf],&lt;br /&gt;
: [https://human-factors.arc.nasa.gov/publications/tprevot_Aviation2014_6_2014_2860.pdf https://human-factors.arc.nasa.gov/publications/tprevot_Aviation2014_6_2014_2860.pdf],&lt;br /&gt;
: [https://humansystems.arc.nasa.gov/publications/tprevot_Aviation2014_6_2014_2860.pdf https://humansystems.arc.nasa.gov/publications/tprevot_Aviation2014_6_2014_2860.pdf],&lt;br /&gt;
: [https://humanfactors.arc.nasa.gov/publications/prevot_aviation_2014_6_2014_2860.pdf https://humanfactors.arc.nasa.gov/publications/prevot_aviation_2014_6_2014_2860.pdf],&lt;br /&gt;
: [https://ntrs.nasa.gov/search.jsp?R=20140012038 https://ntrs.nasa.gov/search.jsp?R=20140012038],&lt;br /&gt;
: [https://hsi.arc.nasa.gov/publications/prevot_aviation_2014_6_2014_2860.pdf https://hsi.arc.nasa.gov/publications/prevot_aviation_2014_6_2014_2860.pdf],&lt;br /&gt;
: [https://arc.aiaa.org/doi/10.2514/6.2014-2860 https://arc.aiaa.org/doi/10.2514/6.2014-2860],&lt;br /&gt;
: [https://repository.exst.jaxa.jp/dspace/handle/a-is/63286 https://repository.exst.jaxa.jp/dspace/handle/a-is/63286],&lt;br /&gt;
: [http://humanfactors.arc.nasa.gov/publications/prevot_aviation_2014_6_2014_2860.pdf http://humanfactors.arc.nasa.gov/publications/prevot_aviation_2014_6_2014_2860.pdf],&lt;br /&gt;
: [http://humansystems.arc.nasa.gov/publications/tprevot_Aviation2014_6_2014_2860.pdf http://humansystems.arc.nasa.gov/publications/tprevot_Aviation2014_6_2014_2860.pdf],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2128798746 https://academic.microsoft.com/#/detail/2128798746]&lt;br /&gt;
&lt;br /&gt;
* [ ]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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