<?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>1405-7743</journal-id>
<journal-title><![CDATA[Ingeniería, investigación y tecnología]]></journal-title>
<abbrev-journal-title><![CDATA[Ing. invest. y tecnol.]]></abbrev-journal-title>
<issn>1405-7743</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Ingeniería]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-77432019000200008</article-id>
<article-id pub-id-type="doi">10.22201/fi.25940732e.2019.20n2.020</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Driving solutions for autonomous vehicles, and adaptive proposals to set the traffic lights times and to choose routes]]></article-title>
<article-title xml:lang="es"><![CDATA[Soluciones de conducción para vehículos autónomos, y propuestas adaptativas para establecer los tiempos de semáforos y elegir rutas]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Carrillo-González]]></surname>
<given-names><![CDATA[José Gerardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma Metropolitana Departamento de Sistemas de Información y Comunicaciones ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>20</volume>
<numero>2</numero>
<fpage>0</fpage>
<lpage>0</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-77432019000200008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-77432019000200008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-77432019000200008&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Two objectives are pursued in this article: 1) with adaptive solutions, improve the traffic flow by setting the time cycle of traffic lights at intersections and reduce the travel time by selecting the vehicles route (treated as separated problems). 2) Avoid driving conflicts among autonomous vehicles (which have defined trajectories) and these with a non-autonomous vehicle (which follows a free path). The traffic lights times are set with formulas that continuously recalculate the times values according the number of vehicles on the intersecting streets. For selecting the vehicles route an algorithm was developed, this calculates different routes (connected streets that conform a solution from the origin to the destination) and selects a route with low density. The results of the article indicate that the adaptive solutions to set the traffic lights times and to select the vehicles path, present a greater traffic flow and a shorter travel time, respectively, than conventional solutions. To avoid collisions among autonomous vehicles which follow a linear path, an algorithm was developed, this was successfully tested in different scenarios through simulations, besides the algorithm allows the interaction of a vehicle manually controlled (circulating without restrictions) with the autonomous vehicles. The algorithm regulates the autonomous vehicles acceleration (deceleration) and assigns the right of way among these and with the human controlled vehicle.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Se persiguen dos objetivos en este artículo: 1) Con soluciones adaptativas, mejorar el flujo de tráfico estableciendo los tiempos de los semáforos en intersecciones y reducir el tiempo de viaje seleccionando la ruta de los vehículos (dos problemas tratados independientemente). 2) Evitar conflictos entre vehículos autónomos (con una trayectoria definida) y entre estos con un vehículo no autónomo (que sigue una trayectoria libre). Los tiempos de los semáforos se establecen con fórmulas que continuamente recalculan los tiempos dependiendo de la cantidad de vehículos en cada calle de la intersección. Para seleccionar la ruta de los vehículos se desarrolló un algoritmo, este calcula diferentes rutas (calles conectadas que conforman una solución del origen al destino) y selecciona una ruta con baja densidad. Los resultados del artículo indican que las soluciones adaptativas para establecer los tiempos de los semáforos y seleccionar la ruta de los vehículos, presentan un mayor flujo de tráfico y un menor tiempo de viaje, respectivamente, que las soluciones convencionales. Para evitar colisiones entre vehículos autónomos que siguen una trayectoria lineal, se desarrolló un algoritmo, este se probó con éxito en diferentes escenarios mediante simulaciones, además el algoritmo permite la interacción de un vehículo controlado manualmente (circulando sin restricciones) con los vehículos autónomos. El algoritmo regula la aceleración (deceleración) de los vehículos autónomos y asigna la prioridad para pasar entre estos y con el vehículo controlado manualmente.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Adaptive control]]></kwd>
<kwd lng="en"><![CDATA[algorithm]]></kwd>
<kwd lng="en"><![CDATA[autonomous vehicles]]></kwd>
<kwd lng="en"><![CDATA[route guidance]]></kwd>
<kwd lng="en"><![CDATA[simulation]]></kwd>
<kwd lng="es"><![CDATA[Algoritmo]]></kwd>
<kwd lng="es"><![CDATA[control adaptativo]]></kwd>
<kwd lng="es"><![CDATA[selección de rutas]]></kwd>
<kwd lng="es"><![CDATA[simulación]]></kwd>
<kwd lng="es"><![CDATA[vehículos autónomos]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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