<?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>S0012-73532017000100209</article-id>
<article-id pub-id-type="doi">10.15446/dyna.v84n200.56571</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Una comparativa entre redes neuronales artificiales y métodos clásicos para la predicción de la movilidad entre zonas de transporte. Aplicación práctica en el Campo de Gibraltar, España]]></article-title>
<article-title xml:lang="en"><![CDATA[A comparison between artificial neuronal networks and classical methods for the prediction of mobility between transport zones. A case study in the Campo de Gibraltar Region (Spain)]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez-Rueda]]></surname>
<given-names><![CDATA[Pedro J.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Turias-Domínguez]]></surname>
<given-names><![CDATA[Ignacio J]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Consorcio de Transporte del Campo de Gibraltar  ]]></institution>
<addr-line><![CDATA[Algeciras Cádiz]]></addr-line>
<country>España</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Cádiz  ]]></institution>
<addr-line><![CDATA[Algeciras Cádiz]]></addr-line>
<country>Spain</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2017</year>
</pub-date>
<volume>84</volume>
<numero>200</numero>
<fpage>209</fpage>
<lpage>216</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0012-73532017000100209&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0012-73532017000100209&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0012-73532017000100209&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Los problemas de tráfico son cada vez más frecuentes debido al gran desarrollo tecnológico de la humanidad siendo, además, esencial su control para optimizar la infraestructura y el transporte público. Para lograr este objetivo, es necesario hacer una estimación de la demanda de los viajeros. Un método alternativo basado en redes neuronales artificiales (RNAs) se analiza en este trabajo, en comparación con las técnicas de predicción tradicionales. El objetivo es obtener un procedimiento de estimación usando variables de entrada sencillas y económicas, que son fáciles de encontrar. A diferencia de los modelos tradicionales, el modelo alternativo funciona mejor con los datos de entrada utilizados, ajustando mejor los resultados esperados. Los resultados son altamente prometedores y por tanto se demuestra la capacidad de las redes neuronales artificiales para realizar una estimación de la movilidad entre zonas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Traffic issues are more common every day due to the great technological development of humanity. Therefore, the control is essential to optimize infrastructure and public transport. To achieve this goal, it is necessary to make an estimate of the demand of the mobility. An alternative method, based on Artificial Neural Networks (ANNs), has been analyzed in this work comparing to traditional prediction techniques. The aim is to obtain an estimation procedure using simple, economical input variables which are easy to find. Unlike traditional models. These new models are able to perform a better fitting of input-output mapping. The results are encouraging and therefore the ability of ANNs is shown to estimate mobility between zones.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Redes Neuronales Artificiales (RNAs)]]></kwd>
<kwd lng="es"><![CDATA[movilidad]]></kwd>
<kwd lng="es"><![CDATA[transporte]]></kwd>
<kwd lng="en"><![CDATA[Artificial Neural Network (ANNs)]]></kwd>
<kwd lng="en"><![CDATA[mobility]]></kwd>
<kwd lng="en"><![CDATA[transport]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zamorano C.]]></surname>
<given-names><![CDATA[Bigas]]></given-names>
</name>
<name>
<surname><![CDATA[J.M.]]></surname>
<given-names><![CDATA[Sastre C.J]]></given-names>
</name>
</person-group>
<source><![CDATA[Manual para la planificación, financiación e implantación de sistemas de transporte urbano]]></source>
<year>2004</year>
<publisher-loc><![CDATA[Madrid, Ediciones Colegio de Caminos ]]></publisher-loc>
<publisher-name><![CDATA[Canales y Puertos]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="book">
<collab>Comisión de Transportes del CICCP</collab>
<source><![CDATA[Libro Verde de Intermodalidad]]></source>
<year>2005</year>
<publisher-loc><![CDATA[Madrid ]]></publisher-loc>
<publisher-name><![CDATA[Colegio de Caminos, Canales y Puertos]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rapkin]]></surname>
<given-names><![CDATA[C.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mitchell]]></surname>
<given-names><![CDATA[R.B]]></given-names>
</name>
</person-group>
<source><![CDATA[Urban traffic: A function of land]]></source>
<year>1954</year>
<publisher-loc><![CDATA[Pennsylvania, USA ]]></publisher-loc>
<publisher-name><![CDATA[University of Pennsylvania]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Voorhees]]></surname>
<given-names><![CDATA[A.M]]></given-names>
</name>
</person-group>
<source><![CDATA[A general theory of traffic movement]]></source>
<year>1955</year>
<publisher-loc><![CDATA[New Haven ]]></publisher-loc>
<publisher-name><![CDATA[Ed. Institute of Traffic Engineers]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="book">
<collab>Standard &amp; Poor&#8217;s</collab>
<source><![CDATA[Traffic risk in star-up toll facilities]]></source>
<year>2002</year>
<publisher-loc><![CDATA[London ]]></publisher-loc>
<publisher-name><![CDATA[Ed. Credit Market Services]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="book">
<collab>Standard &amp; Poor&#8217;s</collab>
<source><![CDATA[Traffic forecasting risk. Study update 2003]]></source>
<year>2003</year>
<publisher-loc><![CDATA[London ]]></publisher-loc>
<publisher-name><![CDATA[Ed. Financial Services]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="book">
<source><![CDATA[Estudio de viabilidad y anteproyecto relativo a instalaciones tranviarias en Murcia (España)]]></source>
<year>2007</year>
<publisher-loc><![CDATA[Murcia ]]></publisher-loc>
<publisher-name><![CDATA[Empresa Epypsa]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Herce-Vallejo]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<source><![CDATA[Instrumentos y metodología de planes de movilidad y transporte en las ciudades medias colombianas]]></source>
<year>2008</year>
<publisher-loc><![CDATA[Barcelona ]]></publisher-loc>
<publisher-name><![CDATA[Universidad Politécnica de Cataluña]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Davalo]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Naim]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<source><![CDATA[Neural Networks (Computer Science Series)]]></source>
<year>1991</year>
<publisher-name><![CDATA[Ed. Scholium Intl]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Applications of artificial neural networks to intelligent vehicle-highway systems]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hua]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Faghri]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<source><![CDATA[Transportation Research Record]]></source>
<year>1994</year>
<volume>1453</volume>
<page-range>83-90</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[A two-stage procedure for forecasting freight inspection at border inspection posts using SOMs and support vector regression]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ruiz-Aguilar]]></surname>
<given-names><![CDATA[J.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Turias]]></surname>
<given-names><![CDATA[I.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiménez-Come]]></surname>
<given-names><![CDATA[M.J]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of Production Research]]></source>
<year>2015</year>
<volume>53</volume>
<page-range>2119-30</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ruiz-Aguilar]]></surname>
<given-names><![CDATA[J.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Turias]]></surname>
<given-names><![CDATA[I.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiménez-Come]]></surname>
<given-names><![CDATA[M.J]]></given-names>
</name>
</person-group>
<source><![CDATA[Journal Transportation Research Part E - Logistic and Transportation Review]]></source>
<year>2014</year>
<volume>67</volume>
<page-range>1-13</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Forecasting of short-term flow freight congestion: A study case of Algeciras Bay Port (Spain)]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ruiz-Aguilar]]></surname>
<given-names><![CDATA[J.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Turias]]></surname>
<given-names><![CDATA[I.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Moscoso-López]]></surname>
<given-names><![CDATA[J.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiménez Come]]></surname>
<given-names><![CDATA[M.J]]></given-names>
</name>
</person-group>
<source><![CDATA[DYNA]]></source>
<year>2016</year>
<volume>83</volume>
<numero>195</numero>
<issue>195</issue>
<page-range>163-72</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ortúzar]]></surname>
<given-names><![CDATA[J.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Willumsem]]></surname>
<given-names><![CDATA[L.G]]></given-names>
</name>
</person-group>
<source><![CDATA[Modelos de Transporte (Transport Modelling)]]></source>
<year>2008</year>
<publisher-loc><![CDATA[Cantabria, España ]]></publisher-loc>
<publisher-name><![CDATA[Universidad de Cantabria]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Muñoz-Monge]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Ramos-Ábalos]]></surname>
<given-names><![CDATA[E.M]]></given-names>
</name>
<name>
<surname><![CDATA[de Oña-López]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[de Oña-López]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<source><![CDATA[Modelo simplificado para estimar la demanda de viajeros en los servicios de un corredor de transporte público]]></source>
<year>2010</year>
<conf-name><![CDATA[ IXCongreso Internacional del Transporte]]></conf-name>
<conf-date>2010</conf-date>
<conf-loc>Madrid, España </conf-loc>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bishop]]></surname>
<given-names><![CDATA[C.M]]></given-names>
</name>
</person-group>
<source><![CDATA[Neural networks for pattern recognition]]></source>
<year>2008</year>
<publisher-loc><![CDATA[Oxford ]]></publisher-loc>
<publisher-name><![CDATA[Oxford University Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="book">
<collab>Ministerio de Transportes y Comunicaciones de Perú</collab>
<source><![CDATA[Metodología de actualización del modelo de transportes del área metropolitana de Lima y Callao]]></source>
<year>2010</year>
<publisher-loc><![CDATA[Lima, Perú ]]></publisher-loc>
<publisher-name><![CDATA[Ministerio de Transportes y Comunicaciones de Perú]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[A review of neural networks applied to transport. The Institute for Transport Studies, University of Leeds]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dougherty]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<source><![CDATA[Journal Transportation Research Part-C]]></source>
<year>1995</year>
<volume>4</volume>
<page-range>247-60</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="">
<collab>Consejería de Obras Públicas y Transportes y EPYSA</collab>
<source><![CDATA[Estudio movilidad en día laborable en el Campo de Gibraltar]]></source>
<year>1995</year>
<publisher-loc><![CDATA[Sevilla, España ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="">
<collab>Tema-Grupo Consultor S.A y Pereda 4 Estudio</collab>
<source><![CDATA[Estudio sobre movilidad y modelización de la demanda de transporte en la ciudad de Málaga. Encuesta domiciliaria de movilidad en día laborable en la ciudad de Málaga]]></source>
<year>2001</year>
<publisher-loc><![CDATA[Málaga, España ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Estimation of origin-destination matrices from link counts and sporadic routing data. Institute of Fundamental Sciences, Massey University, Palmerston North, New Zealand]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Parry]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Hazelton]]></surname>
<given-names><![CDATA[M.L]]></given-names>
</name>
</person-group>
<source><![CDATA[Journal Transportation Research Part B Methodological]]></source>
<year>2012</year>
<page-range>175-88</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cerda-Troncoso]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<source><![CDATA[Calibración de modelos gravitacionales acotados en origen, para predecir variaciones en el total atraído de movilidad laboral]]></source>
<year>2010</year>
<publisher-loc><![CDATA[Barcelona, España ]]></publisher-loc>
<publisher-name><![CDATA[Universidad Politécnica de Cataluña]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Modelación de la distribución de viajeros de Aburrá utilizando el modelo gravitatorio]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[González]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Sarmiento]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
</person-group>
<source><![CDATA[DYNA]]></source>
<year>2009</year>
<volume>76</volume>
<numero>158</numero>
<issue>158</issue>
<page-range>199-208</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rumelhart]]></surname>
<given-names><![CDATA[D.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Hinton]]></surname>
<given-names><![CDATA[G.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Williams]]></surname>
<given-names><![CDATA[R.J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Learning internal representations by error propagation]]></article-title>
<collab>PDP Research Group</collab>
<source><![CDATA[Parallel Distributed Processing]]></source>
<year>1986</year>
<publisher-loc><![CDATA[Cambridge ]]></publisher-loc>
<publisher-name><![CDATA[I and II, Bradford Books and MIT Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[An algorithm for least-squares estimation of nonlinear parameters]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marquardt]]></surname>
<given-names><![CDATA[DW]]></given-names>
</name>
</person-group>
<source><![CDATA[Journal of the Society for Industrial and Applied Mathematics]]></source>
<year>1963</year>
<volume>11</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>431-41</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="">
<source><![CDATA[Anuario Estadístico, Ayuntamiento de Madrid, Área de Gobierno de Seguridad y Servicios, Dirección General de Movilidad]]></source>
<year>2005</year>
<publisher-loc><![CDATA[Madrid, España ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Multilayer feedforward networks are universal approximators]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hornik]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Stinchcombe]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[White]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<source><![CDATA[Neural Networks]]></source>
<year>1989</year>
<volume>2</volume>
<page-range>359-66</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
