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<title>2011</title>
<link href="http://repository.president.ac.id/xmlui/handle/123456789/3267" rel="alternate"/>
<subtitle/>
<id>http://repository.president.ac.id/xmlui/handle/123456789/3267</id>
<updated>2026-04-07T14:33:46Z</updated>
<dc:date>2026-04-07T14:33:46Z</dc:date>
<entry>
<title>CONTROL OF TRAFFIC LIGHT USING FUZZY LOGIC AND HARMONY SEARCH ALOGARITM</title>
<link href="http://repository.president.ac.id/xmlui/handle/123456789/3268" rel="alternate"/>
<author>
<name>Sitompul, Erwin and Agustinus Bunawan</name>
</author>
<id>http://repository.president.ac.id/xmlui/handle/123456789/3268</id>
<updated>2021-09-08T08:11:57Z</updated>
<published>2011-01-01T00:00:00Z</published>
<summary type="text">CONTROL OF TRAFFIC LIGHT USING FUZZY LOGIC AND HARMONY SEARCH ALOGARITM
Sitompul, Erwin and Agustinus Bunawan
Traffic light controller holds an important role in&#13;
maximizing traffic flow. However, normal traffic light&#13;
controller with fixed phase duration is ineffective to handle&#13;
traffic with variable density. Therefore, this paper proposes a&#13;
fuzzy logic controller to improve the flexibility of traffic light&#13;
controller in handling variable traffic density. Furthermore,&#13;
the fuzzy logic controller is optimized using Harmony Search&#13;
algorithm. The proposed fuzzy logic controller is marked by its&#13;
capability to decide which lane will have green phase. Also, it is&#13;
capable to extend and terminate a green phase or a red phase.&#13;
An observation on an intersection at Bekasi, the fifth largest&#13;
city in Indonesia, is done to provide a real case simulation for&#13;
comparing the proposed fuzzy logic controller and the existing&#13;
controller. The simulation shows that the optimized fuzzy logic&#13;
controller outperforms the existing fixed-duration controller.
Makalah dipresentasikan pada 2011 3rd International Conference on Machine Learning and Computing. Singapore, 26-28 February 2011. p. 112-116.
</summary>
<dc:date>2011-01-01T00:00:00Z</dc:date>
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