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		<title>Miyagi 2011a - Revision history</title>
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		<updated>2026-04-17T00:28:21Z</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=Miyagi_2011a&amp;diff=193899&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 352576135 to Miyagi 2011a</title>
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				<updated>2021-01-28T20:02:17Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_352576135&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 352576135&quot;&gt;Draft Content 352576135&lt;/a&gt; to &lt;a href=&quot;/public/Miyagi_2011a&quot; title=&quot;Miyagi 2011a&quot;&gt;Miyagi 2011a&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 20:02, 28 January 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;
&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Miyagi_2011a&amp;diff=193898&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  This paper describes how user equilibrium in a congested network has been conventionally formulated using mathematical optimization procedures. These approach...&quot;</title>
		<link rel="alternate" type="text/html" href="https://www.scipedia.com/wd/index.php?title=Miyagi_2011a&amp;diff=193898&amp;oldid=prev"/>
				<updated>2021-01-28T20:02:12Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  This paper describes how user equilibrium in a congested network has been conventionally formulated using mathematical optimization procedures. These approach...&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;
This paper describes how user equilibrium in a congested network has been conventionally formulated using mathematical optimization procedures. These approaches assume drivers’ behaviors with complete information in the sense that each driver knows the other drivers’ behaviors and their payoff functions. If each driver doesn’t know the other drivers’ strategies, they cannot optimize each others’ strategy. In such a situation, an adaptive heuristics may be a relevant approach to obtain a better solution. To establish behavioral rules of route choice under incomplete information, the paper uses a smooth fictitious play and a regret matching model developed in game theory. The model combines these two approaches. The paper also proposes a new algorithm that can be applicable to a complex situation in traffic environments.&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://www.witpress.com/Secure/elibrary/papers/UT11/UT11004FU1.pdf http://www.witpress.com/Secure/elibrary/papers/UT11/UT11004FU1.pdf]&lt;br /&gt;
&lt;br /&gt;
* [http://www.witpress.com/Secure/elibrary/papers/UT11/UT11004FU1.pdf http://www.witpress.com/Secure/elibrary/papers/UT11/UT11004FU1.pdf],&lt;br /&gt;
: [http://dx.doi.org/10.2495/ut110041 http://dx.doi.org/10.2495/ut110041]&lt;br /&gt;
&lt;br /&gt;
* [https://www.witpress.com/Secure/elibrary/papers/UT11/UT11004FU1.pdf https://www.witpress.com/Secure/elibrary/papers/UT11/UT11004FU1.pdf],&lt;br /&gt;
: [https://www.witpress.com/elibrary/wit-transactions-on-the-built-environment/116/22242 https://www.witpress.com/elibrary/wit-transactions-on-the-built-environment/116/22242],&lt;br /&gt;
: [https://trid.trb.org/view.aspx?id=1118051 https://trid.trb.org/view.aspx?id=1118051],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2021632680 https://academic.microsoft.com/#/detail/2021632680]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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