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		<title>Rantrua et al 2015a - Revision history</title>
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		<updated>2026-10-24T17:56:15Z</updated>
		<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.scipedia.com/wd/index.php?title=Rantrua_et_al_2015a&amp;diff=206281&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 531278424 to Rantrua et al 2015a</title>
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				<updated>2021-02-03T17:22:26Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_531278424&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 531278424&quot;&gt;Draft Content 531278424&lt;/a&gt; to &lt;a href=&quot;/public/Rantrua_et_al_2015a&quot; title=&quot;Rantrua et al 2015a&quot;&gt;Rantrua et al 2015a&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;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 17:22, 3 February 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan='2' style='text-align: center;' lang='en'&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Rantrua_et_al_2015a&amp;diff=206280&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  International audience; Air traffic generators are widely used in the air traffic control and aeronautics industry for training purposes and to validate new c...&quot;</title>
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				<updated>2021-02-03T17:22:23Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  International audience; Air traffic generators are widely used in the air traffic control and aeronautics industry for training purposes and to validate new c...&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;
International audience; Air traffic generators are widely used in the air traffic control and aeronautics industry for training purposes and to validate new concepts or new systems. But it is difficult for a machine to generate realistic trajectories and behavior for an aircraft which lead to the participation of many humans in the simulation to compensate. Traditional generators require performance data for aircrafts and heavy preparation to generate realistic trajectories. Our approach takes advantage of widespread flight location data to learn from their behavior and improve traffic generation. Combining cooperative multi-agent learning methods [1] and big data we show that it is possible to design and generate a realistic and intelligent traffic more easily and without human intervention.&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;
* [https://oatao.univ-toulouse.fr/18864 https://oatao.univ-toulouse.fr/18864]&lt;br /&gt;
&lt;br /&gt;
* [https://hal.archives-ouvertes.fr/hal-01712592 https://hal.archives-ouvertes.fr/hal-01712592],&lt;br /&gt;
: [https://hal.archives-ouvertes.fr/hal-01712592/document https://hal.archives-ouvertes.fr/hal-01712592/document],&lt;br /&gt;
: [https://hal.archives-ouvertes.fr/hal-01712592/file/rantrua_18864.pdf https://hal.archives-ouvertes.fr/hal-01712592/file/rantrua_18864.pdf]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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