{"id":44274,"date":"2021-03-29T03:02:40","date_gmt":"2021-03-29T03:02:40","guid":{"rendered":"https:\/\/www.irap.org\/?p=44274"},"modified":"2021-03-29T03:04:39","modified_gmt":"2021-03-29T03:04:39","slug":"using-convolutional-neural-networks-to-improve-road-safety-and-save-lives","status":"publish","type":"post","link":"https:\/\/irap.org\/es\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/","title":{"rendered":"Uso de redes neuronales convolucionales para mejorar la seguridad vial y salvar vidas"},"content":{"rendered":"<p>Lois Anne Leal y Chaitree Sham Baradkar participaron en el innovador <a href=\"https:\/\/irap.org\/2020\/11\/can-your-ai-skills-help-irap-prevent-road-death-and-injury\/\">Desaf\u00edo de 8 semanas iRAP Omdena<\/a> a principios de este a\u00f1o para encontrar soluciones basadas en IA para mapear el riesgo de accidentes y generar datos de atributos de calificaci\u00f3n de estrellas iRAP. Eran solo 2 de los 50 ingenieros de inteligencia artificial y aprendizaje autom\u00e1tico de todo el mundo enfocados en encontrar una soluci\u00f3n para la recopilaci\u00f3n y codificaci\u00f3n acelerada e inteligente de datos de atributos de carreteras (<a href=\"https:\/\/irap.org\/project\/ai-rap\/\">AiRAP<\/a>) para salvar vidas.<\/p>\n<p>Lois es un especialista en investigaci\u00f3n cient\u00edfica, ingeniero de aprendizaje autom\u00e1tico y desarrollador certificado de TensorFlow de Filipinas y Chaitree es cient\u00edfico de datos en PharmaACE e ingeniero de aprendizaje autom\u00e1tico en Omdena de Pune, India.<\/p>\n<p>El iRAP Omdena Challenge ten\u00eda 3 objetivos principales:<\/p>\n<ol class=\"postList\">\n<li class=\"graf graf--li\">Obtenga datos de choques localizados geogr\u00e1ficamente y genere mapas de riesgo iRAP de los choques hist\u00f3ricos por kil\u00f3metro y choques por kil\u00f3metro recorrido para cada usuario de la carretera<\/li>\n<li class=\"graf graf--li\">Obtenga datos de atributos de la carretera, flujo de tr\u00e1fico y velocidad seg\u00fan el est\u00e1ndar global iRAP y mapee el rendimiento de seguridad y la clasificaci\u00f3n por estrellas de m\u00e1s de 100 millones de km de carreteras en todo el mundo<\/li>\n<li class=\"graf graf--li\">Producir indicadores de desempe\u00f1o clave de infraestructura vial repetibles que puedan formar la base del seguimiento anual del desempe\u00f1o.<\/li>\n<\/ol>\n<p>Lois y Chaitree contribuyeron al segundo objetivo al obtener autom\u00e1ticamente el componente crucial del recuento de veh\u00edculos bajo el atributo de tr\u00e1fico o flujo de veh\u00edculos utilizando im\u00e1genes de sat\u00e9lite con la ayuda de Inteligencia Artificial.<\/p>\n<p>Lea su blog publicado: &quot;<a href=\"https:\/\/omdena.com\/blog\/ai-road-safety\/\">Uso de redes neuronales convolucionales para mejorar la seguridad vial y salvar vidas<\/a>\u201c.<\/p>\n<p>\u00a1Nuestro agradecimiento a Lois y Chaitree, y a todos los voluntarios del Desaf\u00edo por su valiosa contribuci\u00f3n!<\/p>","protected":false},"excerpt":{"rendered":"<p>Lois Anne Leal and Chaitree Sham Baradkar participated in the innovative iRAP Omdena 8 week Challenge earlier this year to find AI-based solutions to map crash risk and generate iRAP [&hellip;]<\/p>\n","protected":false},"author":9,"featured_media":44275,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"footnotes":""},"categories":[1,24],"tags":[],"class_list":["post-44274","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Using Convolutional Neural Networks To Improve Road Safety And Save Lives - iRAP<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/irap.org\/es\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using Convolutional Neural Networks To Improve Road Safety And Save Lives - iRAP\" \/>\n<meta property=\"og:description\" content=\"Lois Anne Leal and Chaitree Sham Baradkar participated in the innovative iRAP Omdena 8 week Challenge earlier this year to find AI-based solutions to map crash risk and generate iRAP [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/irap.org\/es\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/\" \/>\n<meta property=\"og:site_name\" content=\"iRAP\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/iRAPfb\" \/>\n<meta property=\"article:published_time\" content=\"2021-03-29T03:02:40+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2021-03-29T03:04:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/irap.org\/wp-content\/uploads\/2021\/03\/Vehicle-Count-iRAP-1080x675-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1080\" \/>\n\t<meta property=\"og:image:height\" content=\"675\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Briarlea Green\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@iRAPSavingLives\" \/>\n<meta name=\"twitter:site\" content=\"@iRAPSavingLives\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Briarlea Green\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/\"},\"author\":{\"name\":\"Briarlea Green\",\"@id\":\"https:\/\/irap.org\/ru\/#\/schema\/person\/1eb4b7c7b00754a0669f6cb5f9f6324a\"},\"headline\":\"Using Convolutional Neural Networks To Improve Road Safety And Save Lives\",\"datePublished\":\"2021-03-29T03:02:40+00:00\",\"dateModified\":\"2021-03-29T03:04:39+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/\"},\"wordCount\":251,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/irap.org\/ru\/#organization\"},\"image\":{\"@id\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/irap.org\/wp-content\/uploads\/2021\/03\/Vehicle-Count-iRAP-1080x675-1.png\",\"articleSection\":[\"General\",\"News\"],\"inLanguage\":\"es-CO\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/\",\"url\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/\",\"name\":\"Using Convolutional Neural Networks To Improve Road Safety And Save Lives - iRAP\",\"isPartOf\":{\"@id\":\"https:\/\/irap.org\/ru\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/irap.org\/wp-content\/uploads\/2021\/03\/Vehicle-Count-iRAP-1080x675-1.png\",\"datePublished\":\"2021-03-29T03:02:40+00:00\",\"dateModified\":\"2021-03-29T03:04:39+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#breadcrumb\"},\"inLanguage\":\"es-CO\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es-CO\",\"@id\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#primaryimage\",\"url\":\"https:\/\/irap.org\/wp-content\/uploads\/2021\/03\/Vehicle-Count-iRAP-1080x675-1.png\",\"contentUrl\":\"https:\/\/irap.org\/wp-content\/uploads\/2021\/03\/Vehicle-Count-iRAP-1080x675-1.png\",\"width\":1080,\"height\":675},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/irap.org\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Using Convolutional Neural Networks To Improve Road Safety And Save Lives\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/irap.org\/ru\/#website\",\"url\":\"https:\/\/irap.org\/ru\/\",\"name\":\"iRAP\",\"description\":\"The International Road Assessment Programme\",\"publisher\":{\"@id\":\"https:\/\/irap.org\/ru\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/irap.org\/ru\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es-CO\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/irap.org\/ru\/#organization\",\"name\":\"iRAP\",\"url\":\"https:\/\/irap.org\/ru\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es-CO\",\"@id\":\"https:\/\/irap.org\/ru\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/irap.org\/wp-content\/uploads\/2017\/08\/logo.png\",\"contentUrl\":\"https:\/\/irap.org\/wp-content\/uploads\/2017\/08\/logo.png\",\"width\":145,\"height\":69,\"caption\":\"iRAP\"},\"image\":{\"@id\":\"https:\/\/irap.org\/ru\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/iRAPfb\",\"https:\/\/x.com\/iRAPSavingLives\",\"https:\/\/www.linkedin.com\/company\/irap\/\",\"https:\/\/www.youtube.com\/user\/iRAPSavingLives\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/irap.org\/ru\/#\/schema\/person\/1eb4b7c7b00754a0669f6cb5f9f6324a\",\"name\":\"Briarlea Green\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es-CO\",\"@id\":\"https:\/\/irap.org\/ru\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/437db38ec614bdc69e15c67310b82dbf7fcde1bd39e876647099bb596ca0680c?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/437db38ec614bdc69e15c67310b82dbf7fcde1bd39e876647099bb596ca0680c?s=96&d=mm&r=g\",\"caption\":\"Briarlea Green\"},\"url\":\"https:\/\/irap.org\/es\/author\/briarlea-greenirap-org\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Uso de redes neuronales convolucionales para mejorar la seguridad vial y salvar vidas - iRAP","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/irap.org\/es\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/","og_locale":"es_ES","og_type":"article","og_title":"Using Convolutional Neural Networks To Improve Road Safety And Save Lives - iRAP","og_description":"Lois Anne Leal and Chaitree Sham Baradkar participated in the innovative iRAP Omdena 8 week Challenge earlier this year to find AI-based solutions to map crash risk and generate iRAP [&hellip;]","og_url":"https:\/\/irap.org\/es\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/","og_site_name":"iRAP","article_publisher":"https:\/\/www.facebook.com\/iRAPfb","article_published_time":"2021-03-29T03:02:40+00:00","article_modified_time":"2021-03-29T03:04:39+00:00","og_image":[{"width":1080,"height":675,"url":"https:\/\/irap.org\/wp-content\/uploads\/2021\/03\/Vehicle-Count-iRAP-1080x675-1.png","type":"image\/png"}],"author":"Briarlea Green","twitter_card":"summary_large_image","twitter_creator":"@iRAPSavingLives","twitter_site":"@iRAPSavingLives","twitter_misc":{"Escrito por":"Briarlea Green","Tiempo de lectura":"1 minuto"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#article","isPartOf":{"@id":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/"},"author":{"name":"Briarlea Green","@id":"https:\/\/irap.org\/ru\/#\/schema\/person\/1eb4b7c7b00754a0669f6cb5f9f6324a"},"headline":"Using Convolutional Neural Networks To Improve Road Safety And Save Lives","datePublished":"2021-03-29T03:02:40+00:00","dateModified":"2021-03-29T03:04:39+00:00","mainEntityOfPage":{"@id":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/"},"wordCount":251,"commentCount":0,"publisher":{"@id":"https:\/\/irap.org\/ru\/#organization"},"image":{"@id":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#primaryimage"},"thumbnailUrl":"https:\/\/irap.org\/wp-content\/uploads\/2021\/03\/Vehicle-Count-iRAP-1080x675-1.png","articleSection":["General","News"],"inLanguage":"es-CO","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/","url":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/","name":"Uso de redes neuronales convolucionales para mejorar la seguridad vial y salvar vidas - iRAP","isPartOf":{"@id":"https:\/\/irap.org\/ru\/#website"},"primaryImageOfPage":{"@id":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#primaryimage"},"image":{"@id":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#primaryimage"},"thumbnailUrl":"https:\/\/irap.org\/wp-content\/uploads\/2021\/03\/Vehicle-Count-iRAP-1080x675-1.png","datePublished":"2021-03-29T03:02:40+00:00","dateModified":"2021-03-29T03:04:39+00:00","breadcrumb":{"@id":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#breadcrumb"},"inLanguage":"es-CO","potentialAction":[{"@type":"ReadAction","target":["https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/"]}]},{"@type":"ImageObject","inLanguage":"es-CO","@id":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#primaryimage","url":"https:\/\/irap.org\/wp-content\/uploads\/2021\/03\/Vehicle-Count-iRAP-1080x675-1.png","contentUrl":"https:\/\/irap.org\/wp-content\/uploads\/2021\/03\/Vehicle-Count-iRAP-1080x675-1.png","width":1080,"height":675},{"@type":"BreadcrumbList","@id":"https:\/\/irap.org\/ru\/2021\/03\/using-convolutional-neural-networks-to-improve-road-safety-and-save-lives\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/irap.org\/"},{"@type":"ListItem","position":2,"name":"Using Convolutional Neural Networks To Improve Road Safety And Save Lives"}]},{"@type":"WebSite","@id":"https:\/\/irap.org\/ru\/#website","url":"https:\/\/irap.org\/ru\/","name":"iRAP","description":"El International Road Assessment Programme","publisher":{"@id":"https:\/\/irap.org\/ru\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/irap.org\/ru\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"es-CO"},{"@type":"Organization","@id":"https:\/\/irap.org\/ru\/#organization","name":"iRAP","url":"https:\/\/irap.org\/ru\/","logo":{"@type":"ImageObject","inLanguage":"es-CO","@id":"https:\/\/irap.org\/ru\/#\/schema\/logo\/image\/","url":"https:\/\/irap.org\/wp-content\/uploads\/2017\/08\/logo.png","contentUrl":"https:\/\/irap.org\/wp-content\/uploads\/2017\/08\/logo.png","width":145,"height":69,"caption":"iRAP"},"image":{"@id":"https:\/\/irap.org\/ru\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/iRAPfb","https:\/\/x.com\/iRAPSavingLives","https:\/\/www.linkedin.com\/company\/irap\/","https:\/\/www.youtube.com\/user\/iRAPSavingLives"]},{"@type":"Person","@id":"https:\/\/irap.org\/ru\/#\/schema\/person\/1eb4b7c7b00754a0669f6cb5f9f6324a","name":"Briarlea Green","image":{"@type":"ImageObject","inLanguage":"es-CO","@id":"https:\/\/irap.org\/ru\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/437db38ec614bdc69e15c67310b82dbf7fcde1bd39e876647099bb596ca0680c?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/437db38ec614bdc69e15c67310b82dbf7fcde1bd39e876647099bb596ca0680c?s=96&d=mm&r=g","caption":"Briarlea Green"},"url":"https:\/\/irap.org\/es\/author\/briarlea-greenirap-org\/"}]}},"_links":{"self":[{"href":"https:\/\/irap.org\/es\/wp-json\/wp\/v2\/posts\/44274","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/irap.org\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/irap.org\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/irap.org\/es\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/irap.org\/es\/wp-json\/wp\/v2\/comments?post=44274"}],"version-history":[{"count":0,"href":"https:\/\/irap.org\/es\/wp-json\/wp\/v2\/posts\/44274\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/irap.org\/es\/wp-json\/wp\/v2\/media\/44275"}],"wp:attachment":[{"href":"https:\/\/irap.org\/es\/wp-json\/wp\/v2\/media?parent=44274"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/irap.org\/es\/wp-json\/wp\/v2\/categories?post=44274"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/irap.org\/es\/wp-json\/wp\/v2\/tags?post=44274"}],"curies":[{"name":"gracias","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}