<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>American Journal of Mechanical Engineering</journalTitle>
<publicationDate>2013-11-26</publicationDate>
<volume>1</volume>
<issue>7</issue>
<startPage>226</startPage>
<endPage>230</endPage>
<doi>10.12691/ajme-1-7-15</doi>
<publisherRecordId>AJME20131715</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Traffic Lights Strategy Adaptation</title>
<authors>
<author>
<name>Michal Janošek</name>
<email>michal.janosek@osu.cz</email>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Radim Farana</name>
<affiliationId>1</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Centre of Excellence IT4Innovations, Division of the University of Ostrava,</affiliationName>

</affiliationsList>
<abstract language="eng">This paper deals with a problem of a traffic lights strategy adaptation based on a traffic flow. The aim of this paper is to show an advantage of an adaptive traffic lights strategy. For the adaptive traffic lights strategy switching the author’s methodology for adaptation of parameters of complex system for complex system behaviour adaptation is used [3,4,6]. Traffic simulation is done using simulation software NetLogo. As an example, a model of a traffic grid with traffic lights on its crossings is used.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/ajme/1/7/15/ajme-1-7-15.pdf</fullTextUrl>
<keywords language="eng">traffic lightsadaptationstrategymethodologycomplex systempattern recognition</keywords>
</record>
</records>
