{"id":2730,"date":"2021-08-02T01:55:15","date_gmt":"2021-08-01T15:55:15","guid":{"rendered":"https:\/\/wordpress.temp.irap-dev.org\/us-airap-pilot-announced\/"},"modified":"2026-04-30T12:38:11","modified_gmt":"2026-04-30T02:38:11","slug":"us-airap-pilot-announced","status":"publish","type":"post","link":"https:\/\/irap.org\/es\/us-airap-pilot-announced\/","title":{"rendered":"Se anuncia el piloto del AiRAP de EE. UU."},"content":{"rendered":"<p>La Junta de Investigaci\u00f3n del Transporte (<a href=\"http:\/\/www.trb.org\/\">TRB<\/a>) ha convocado licitaciones para un innovador proyecto piloto AiRAP que busca aprovechar la inteligencia artificial y el big data para mejorar el an\u00e1lisis de la seguridad vial en las redes estadounidenses, con un beneficio global previsto.<\/p>\n<p>El programa de investigaci\u00f3n de 30 meses tiene como objetivo impulsar el uso de la inteligencia artificial (IA) y el aprendizaje autom\u00e1tico (AA) en el an\u00e1lisis de macrodatos y datos no convencionales para evaluar su eficacia en el apoyo a la toma de decisiones sobre sistemas seguros y prioridades modales, as\u00ed como en el seguimiento del rendimiento de la seguridad vial.<\/p>\n<p>La ausencia de datos de bajo coste, indicadores de rendimiento en materia de seguridad y opciones de inversi\u00f3n priorizadas dificulta que los organismos comprendan la viabilidad econ\u00f3mica de unas carreteras m\u00e1s seguras y que midan el progreso.<\/p>\n<p>La codificaci\u00f3n acelerada e inteligente de estos atributos puede generar ahorros significativos y proporcionar la escala y la frecuencia de recopilaci\u00f3n y an\u00e1lisis de datos necesarias para respaldar un seguimiento integral del rendimiento a lo largo del tiempo.<\/p>\n<p><a href=\"https:\/\/irap.org\/es\/project\/ai-rap\/\">AiRAP<\/a> Este sistema recoge los avances en IA, aprendizaje autom\u00e1tico, sistemas de visi\u00f3n (urbana y a\u00e9rea), detecci\u00f3n y medici\u00f3n de luz (LiDAR), telem\u00e1tica y otras fuentes de datos para ofrecer informaci\u00f3n fundamental sobre seguridad vial, rendimiento en caso de colisi\u00f3n, priorizaci\u00f3n de inversiones y la calificaci\u00f3n por estrellas de RAP para carreteras destinadas a peatones, ciclistas, motociclistas y ocupantes de veh\u00edculos.<\/p>\n<p>La investigaci\u00f3n identificar\u00e1 posibles fuentes de datos, identificar\u00e1 o desarrollar\u00e1 los algoritmos necesarios de preparaci\u00f3n y extracci\u00f3n de datos para su uso en el an\u00e1lisis de seguridad, y documentar\u00e1 la cobertura, la frecuencia de recopilaci\u00f3n, la granularidad, la accesibilidad para los profesionales y el coste de cada fuente.<\/p>\n<p>Los datos permitir\u00e1n generar, con mayor frecuencia y a menor coste, entre otros elementos: mapas clave de riesgo para la predicci\u00f3n de accidentes mortales y lesiones; mapas de caracter\u00edsticas viales; clasificaciones por estrellas y otros an\u00e1lisis de seguridad para peatones, ciclistas, motociclistas, servicios de micromovilidad y ocupantes de veh\u00edculos; identificaci\u00f3n de datos para an\u00e1lisis de seguridad y herramientas asociadas; y el desarrollo de planes de seguridad que puedan utilizarse para solicitar financiaci\u00f3n y priorizar inversiones en las redes viales locales y estatales.<\/p>\n<p>El proyecto piloto elaborar\u00e1 directrices para la gesti\u00f3n de datos utilizando un formato al que puedan acceder diversas herramientas, y los resultados podr\u00e1n incluirse en recursos de nivel nacional, como el Manual de Seguridad Vial de la AASHTO y otras herramientas que apoyan el an\u00e1lisis de seguridad basado en datos.<\/p>\n<p>Puede encontrar m\u00e1s informaci\u00f3n sobre el programa piloto y los requisitos. <a href=\"https:\/\/apps.trb.org\/cmsfeed\/TRBNetProjectDisplay.asp?ProjectID=5087\">aqu\u00ed<\/a> Las propuestas deber\u00e1n presentarse a m\u00e1s tardar a las 17:00 horas, hora del este de Estados Unidos, del 13 de septiembre de 2021.<\/p>\n<p>Esta investigaci\u00f3n se basar\u00e1 en las innovaciones de IA que se est\u00e1n desarrollando a nivel mundial para los Programas de Evaluaci\u00f3n de Carreteras (RAP, por sus siglas en ingl\u00e9s) en otros pa\u00edses.<\/p>\n<p>Para obtener m\u00e1s informaci\u00f3n sobre AiRAP, visite <a href=\"https:\/\/irap.org\/es\/project\/ai-rap\/\">https:\/\/irap.org\/project\/ai-rap\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>The Transportation Research Board (TRB) has called for tenders in an innovative AiRAP pilot to leverage artificial intelligence and big data to enhance road safety analysis in US networks, with expected global benefit. The 30-month research programme aims to advance the use of artificial intelligence (AI) and machine learning (ML) in analysing big data and [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":2731,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[28,266],"tags":[267,147,356,357,358,359],"class_list":["post-2730","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-global-news","category-airap","tag-ai","tag-airap","tag-big-data","tag-trb","tag-usa","tag-usrap"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v28.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>US AiRAP pilot announced - 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\/us-airap-pilot-announced\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"US AiRAP pilot announced\" \/>\n<meta property=\"og:description\" content=\"The Transportation Research Board (TRB) has called for tenders in an innovative AiRAP pilot to leverage artificial intelligence and big data to enhance road safety analysis in US networks, with expected global benefit. 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