<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0012-7353</journal-id>
<journal-title><![CDATA[DYNA]]></journal-title>
<abbrev-journal-title><![CDATA[Dyna rev.fac.nac.minas]]></abbrev-journal-title>
<issn>0012-7353</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0012-73532019000400032</article-id>
<article-id pub-id-type="doi">10.15446/dyna.v86n211.79743</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[A review of Machine Learning (ML) algorithms used for modeling travel mode choice]]></article-title>
<article-title xml:lang="es"><![CDATA[Una revisión de los algoritmos de Machine Learning (ML) utilizados para la modelación de la elección de modo de viaje]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pineda-Jaramillo]]></surname>
<given-names><![CDATA[Juan D]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de Colombia Department of Civil Engineering ]]></institution>
<addr-line><![CDATA[Medellín ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<volume>86</volume>
<numero>211</numero>
<fpage>32</fpage>
<lpage>41</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0012-73532019000400032&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0012-73532019000400032&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0012-73532019000400032&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract In recent decades, transportation planning researchers have used diverse types of machine learning (ML) algorithms to research a wide range of topics. This review paper starts with a brief explanation of some ML algorithms commonly used for transportation research, specifically Artificial Neural Networks (ANN), Decision Trees (DT), Support Vector Machines (SVM) and Cluster Analysis (CA). Then, these different methodologies used by researchers for modeling travel mode choice are collected and compared with the Multinomial Logit Model (MNL) which is the most commonly-used discrete choice model. Finally, the characterization of ML algorithms is discussed and Random Forest (RF), a variant of Decision Tree algorithms, is presented as the best methodology for modeling travel mode choice.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En décadas recientes, los investigadores de planificación de transporte han usado diversos tipos de algoritmos de Machine Learning (ML, por sus siglas en inglés) para investigar un amplio rango de temas. Este artículo de revisión inicia con una breve explicación de algunos algoritmos de Machine Learning comúnmente utilizados para la investigación en transporte, específicamente Redes Neuronales Artificiales (ANN), Árboles de Decisión (DT), Máquinas de Vector de Soporte (SVM) y Análisis de Grupos (CA). Luego, estas diferentes metodologías usadas por investigadores para modelar la elección de modo de viaje son recogidos y comparados con el Modelo Logit Multinomial (MNL) el cual es el modelo de elección discreta más comúnmente utilizado. Finalmente, la caracterización de los algoritmos de ML es discutida y el Bosque Aleatorio (RF), una variante de los algoritmos de Árboles de Decisión, es presentado como la mejor metodología para modelar la elección de modo de viaje.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[modeling travel mode choice]]></kwd>
<kwd lng="en"><![CDATA[Artificial Neural Networks (ANN)]]></kwd>
<kwd lng="en"><![CDATA[Decision Trees (DT)]]></kwd>
<kwd lng="en"><![CDATA[Support-Vector Machines (SVM), Cluster Analysis (CA)]]></kwd>
<kwd lng="en"><![CDATA[Multinomial Logit Model (MNL)]]></kwd>
<kwd lng="en"><![CDATA[Machine Learning (ML) algorithms.]]></kwd>
<kwd lng="es"><![CDATA[modelación de la elección de modo de viaje]]></kwd>
<kwd lng="es"><![CDATA[Redes Neuronales Artificiales (ANN)]]></kwd>
<kwd lng="es"><![CDATA[Árboles de Decisión (DT)]]></kwd>
<kwd lng="es"><![CDATA[Máquinas de Vector de Soporte (SVM)]]></kwd>
<kwd lng="es"><![CDATA[Análisis de Grupos (CA)]]></kwd>
<kwd lng="es"><![CDATA[Modelo Logit Multinomial (MNL)]]></kwd>
<kwd lng="es"><![CDATA[algoritmos de Machine Learning (ML).]]></kwd>
</kwd-group>
</article-meta>
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