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		<id>https://www.scipedia.com/wd/index.php?action=history&amp;feed=atom&amp;title=Bagassi_Persiani_2012a</id>
		<title>Bagassi Persiani 2012a - Revision history</title>
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		<updated>2026-05-02T21:05:46Z</updated>
		<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Bagassi_Persiani_2012a&amp;diff=216514&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 605267637 to Bagassi Persiani 2012a</title>
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				<updated>2021-02-16T10:59:46Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_605267637&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 605267637&quot;&gt;Draft Content 605267637&lt;/a&gt; to &lt;a href=&quot;/public/Bagassi_Persiani_2012a&quot; title=&quot;Bagassi Persiani 2012a&quot;&gt;Bagassi Persiani 2012a&lt;/a&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&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 10:59, 16 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=Bagassi_Persiani_2012a&amp;diff=216513&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  One of the most interesting challenges of the next few years will be airspace system automation. This process will involve different aspects such as air traff...&quot;</title>
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				<updated>2021-02-16T10:59:43Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  One of the most interesting challenges of the next few years will be airspace system automation. This process will involve different aspects such as air traff...&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;
One of the most interesting challenges of the next few years will be airspace system automation. This process will involve different aspects such as air traffic management, aircraft and airport operations and guidance and navigation systems. The use of unmanned aerial system for civil missions will be one of the most important steps in this automation process. In this article, an air traffic management oriented conflict detection &amp;amp; resolution algorithm that models air traffic management operative technique as avoidance manoeuvres in order to self-separate the unmanned aerial vehicle from piloted air traffic is presented. As a first step, a geometric analysis identifies all possible unmanned aerial vehicle routes among the mission targets and related potential conflicts with piloted air traffic. For each potential conflict, air traffic management operative techniques are used to model different options of conflict resolution: vertical and horizontal avoidance, speed regulation, holding patterns and rerouting. The performances of a reference unmanned aerial vehicle are used to estimate the cost of each possible sub-route and, in case of conflict, the cost of each possible avoidance manoeuvre. In this way, the unmanned aerial vehicle mission is modelled as a combinatorial optimization problem that concerns the sequencing of both targets and conflict resolution options. As output, a conflict free route that minimizes the air traffic impact over the mission is provided. Simulation results over real air traffic data show how this approach could be useful for future common management of piloted and non-piloted air traffic.&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://dx.doi.org/10.1177/0954410012439975 http://dx.doi.org/10.1177/0954410012439975]&lt;br /&gt;
&lt;br /&gt;
* [http://hdl.handle.net/11585/114902 http://hdl.handle.net/11585/114902]&lt;br /&gt;
&lt;br /&gt;
* [http://journals.sagepub.com/doi/pdf/10.1177/0954410012439975 http://journals.sagepub.com/doi/pdf/10.1177/0954410012439975],&lt;br /&gt;
: [http://journals.sagepub.com/doi/full-xml/10.1177/0954410012439975 http://journals.sagepub.com/doi/full-xml/10.1177/0954410012439975],&lt;br /&gt;
: [http://dx.doi.org/10.1177/0954410012439975 http://dx.doi.org/10.1177/0954410012439975] under the license http://journals.sagepub.com/page/policies/text-and-data-mining-license&lt;br /&gt;
&lt;br /&gt;
* [https://journals.sagepub.com/doi/10.1177/0954410012439975 https://journals.sagepub.com/doi/10.1177/0954410012439975],&lt;br /&gt;
: [https://trid.trb.org/view/1250233 https://trid.trb.org/view/1250233],&lt;br /&gt;
: [https://cris.unibo.it/handle/11585/114902 https://cris.unibo.it/handle/11585/114902],&lt;br /&gt;
: [http://journals.sagepub.com/doi/10.1177/0954410012439975 http://journals.sagepub.com/doi/10.1177/0954410012439975],&lt;br /&gt;
: [http://pig.sagepub.com/content/227/4/687.abstract http://pig.sagepub.com/content/227/4/687.abstract],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2163818789 https://academic.microsoft.com/#/detail/2163818789]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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