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		<id>https://www.scipedia.com/wd/index.php?action=history&amp;feed=atom&amp;title=Haldenbilen_et_al_2015a</id>
		<title>Haldenbilen et al 2015a - Revision history</title>
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		<updated>2026-05-01T17:01:47Z</updated>
		<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.scipedia.com/wd/index.php?title=Haldenbilen_et_al_2015a&amp;diff=217042&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 323325153 to Haldenbilen et al 2015a</title>
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				<updated>2021-02-16T11:45:35Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_323325153&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 323325153&quot;&gt;Draft Content 323325153&lt;/a&gt; to &lt;a href=&quot;/public/Haldenbilen_et_al_2015a&quot; title=&quot;Haldenbilen et al 2015a&quot;&gt;Haldenbilen 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 11:45, 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=Haldenbilen_et_al_2015a&amp;diff=217041&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  This study proposes Reinforcement Learning (RL) based algorithm for finding optimum signal timings in Coordinated Signalized Networks (CSN) for fixed set of l...&quot;</title>
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				<updated>2021-02-16T11:45:31Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  This study proposes Reinforcement Learning (RL) based algorithm for finding optimum signal timings in Coordinated Signalized Networks (CSN) for fixed set of l...&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 study proposes Reinforcement Learning (RL) based algorithm for finding optimum signal timings in Coordinated Signalized Networks (CSN) for fixed set of link flows. For this purpose, MOdified REinforcement Learning algorithm with TRANSYT-7F (MORELTRANS) model is proposed by way of combining RL algorithm and TRANSYT-7F. The modified RL differs from other RL algorithms since it takes advantage of the best solution obtained from the previous learning episode by generating a sub-environment at each learning episode as the same size of original environment. On the other hand, TRANSYT-7F traffic model is used in order to determine network performance index, namely disutility index. Numerical application is conducted on medium sized coordinated signalized road network. Results indicated that the MORELTRANS produced slightly better results than the GA in signal timing optimization in terms of objective function value while it outperformed than the HC. In order to show the capability of the proposed model for heavy demand condition, two cases in which link flows are increased by 20% and 50% with respect to the base case are considered. It is found that the MORELTRANS is able to reach good solutions for signal timing optimization even if demand became increased. (C) 2015 Elsevier Ltd. All rights reserved.&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://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/10122 http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/10122]&lt;br /&gt;
&lt;br /&gt;
* [http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/14966 http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/14966]&lt;br /&gt;
&lt;br /&gt;
* [http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/22509 http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/22509]&lt;br /&gt;
&lt;br /&gt;
* [https://api.elsevier.com/content/article/PII:S0968090X15000893?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0968090X15000893?httpAccept=text/xml],&lt;br /&gt;
: [https://api.elsevier.com/content/article/PII:S0968090X15000893?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S0968090X15000893?httpAccept=text/plain],&lt;br /&gt;
: [http://dx.doi.org/10.1016/j.trc.2015.03.010 http://dx.doi.org/10.1016/j.trc.2015.03.010] under the license https://www.elsevier.com/tdm/userlicense/1.0/&lt;br /&gt;
&lt;br /&gt;
* [https://www.sciencedirect.com/science/article/pii/S0968090X15000893 https://www.sciencedirect.com/science/article/pii/S0968090X15000893],&lt;br /&gt;
: [https://trid.trb.org/view/1350252 https://trid.trb.org/view/1350252],&lt;br /&gt;
: [http://www.sciencedirect.com/science/article/pii/S0968090X15000893 http://www.sciencedirect.com/science/article/pii/S0968090X15000893],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/1974937264 https://academic.microsoft.com/#/detail/1974937264]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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