{"id":3014,"date":"2021-12-20T00:51:20","date_gmt":"2021-12-19T13:51:20","guid":{"rendered":"https:\/\/wordpress.temp.irap-dev.org\/benefit-of-ai-in-proactive-road-infrastructure-safety-management-itf-findings-published\/"},"modified":"2026-04-30T12:39:48","modified_gmt":"2026-04-30T02:39:48","slug":"benefit-of-ai-in-proactive-road-infrastructure-safety-management-itf-findings-published","status":"publish","type":"post","link":"https:\/\/irap.org\/pt\/benefit-of-ai-in-proactive-road-infrastructure-safety-management-itf-findings-published\/","title":{"rendered":"Benef\u00edcios da IA na gest\u00e3o proativa da seguran\u00e7a da infraestrutura rodovi\u00e1ria: conclus\u00f5es da ITF publicadas"},"content":{"rendered":"<p>Resultados do F\u00f3rum Internacional de Transportes (<a href=\"https:\/\/www.itf-oecd.org\/\">ITF<\/a>Foram publicadas 187 mesas-redondas sobre Intelig\u00eancia Artificial (IA) na Gest\u00e3o Proativa da Seguran\u00e7a da Infraestrutura Rodovi\u00e1ria, destacando o importante potencial e papel da IA. <a href=\"https:\/\/irap.org\/pt\/project\/ai-rap\/\">AiRAP<\/a>.<\/p>\n<p>A intelig\u00eancia artificial amplia os limites do reconhecimento de padr\u00f5es al\u00e9m das capacidades humanas e pode ser a chave para identificar configura\u00e7\u00f5es rodovi\u00e1rias desconhecidas e propensas a acidentes, salvando vidas.<\/p>\n<p>A Mesa Redonda sobre IA da ITF, realizada em fevereiro de 2021, reuniu especialistas de 33 organiza\u00e7\u00f5es e 15 pa\u00edses para examinar e determinar os casos mais relevantes para o uso da intelig\u00eancia artificial no contexto do planejamento de transportes para a preven\u00e7\u00e3o de acidentes em toda a rede rodovi\u00e1ria.<\/p>\n<p><a href=\"https:\/\/www.itf-oecd.org\/sites\/default\/files\/docs\/artificial-intelligence-road-infrastructure-safety-management.pdf\">O relat\u00f3rio<\/a> Este documento resume as conclus\u00f5es da mesa-redonda e explora a possibilidade de usar vis\u00e3o computacional para obter informa\u00e7\u00f5es relevantes, bem como a capacidade de modelos computacionais para mapear locais de alto risco. S\u00e3o apresentadas recomenda\u00e7\u00f5es \u00e0s partes interessadas sobre o desenvolvimento e o uso adequado de solu\u00e7\u00f5es de IA que podem salvar vidas.<\/p>\n<p>A IA facilita a gest\u00e3o proativa da seguran\u00e7a rodovi\u00e1ria de duas maneiras: por meio de sensores e sistemas como vis\u00e3o computacional, ela ajuda a coletar dados sobre as condi\u00e7\u00f5es da infraestrutura vi\u00e1ria e eventos de tr\u00e1fego em toda a rede rodovi\u00e1ria. E, por meio de modelos preditivos, a IA aprende a identificar locais na rede onde o risco de acidentes \u00e9 maior. Em regi\u00f5es onde existem dados precisos e relevantes, a IA pode identificar proativamente locais perigosos, antes que os acidentes aconte\u00e7am.<\/p>\n<p>No entanto, muitos consideram que a IA carece da transpar\u00eancia e da interpretabilidade das previs\u00f5es dos modelos estat\u00edsticos tradicionais. Com a ampla disponibilidade de poder computacional, o que atualmente limita a IA \u00e9 a disponibilidade de dados e de profissionais qualificados para supervisionar a modelagem. Os dados s\u00e3o frequentemente escassos porque permanecem isolados em vez de serem compartilhados, e observa-se que a ind\u00fastria automotiva det\u00e9m alguns dos dados mais valiosos para a previs\u00e3o de riscos.<\/p>\n<p>O relat\u00f3rio recomenda:<\/p>\n<ul>\n<li>Desenvolver um mercado competitivo para o compartilhamento e a monetiza\u00e7\u00e3o de dados de tr\u00e1fego e mobilidade.<\/li>\n<li>N\u00e3o espere por dados em tempo real para desenvolver mapas de risco.<\/li>\n<li>Obrigatoriedade do compartilhamento de dados agregados de ve\u00edculos<\/li>\n<li>Aprenda com outras \u00e1reas e com as melhores pr\u00e1ticas para o compartilhamento de dados e a prote\u00e7\u00e3o da privacidade.<\/li>\n<li>Apoiar a pesquisa e a inova\u00e7\u00e3o para uma IA confi\u00e1vel e explic\u00e1vel.<\/li>\n<li>Alinhar novas ferramentas com objetivos pol\u00edticos precisos<\/li>\n<li>Desenvolver novas compet\u00eancias e infraestrutura digital<\/li>\n<li>Esclarecer os marcos regulat\u00f3rios para a prote\u00e7\u00e3o de dados e a seguran\u00e7a digital.<\/li>\n<li>Desenvolva ferramentas de mapeamento de riscos f\u00e1ceis de usar.<\/li>\n<\/ul>\n<p>A iniciativa iRAP de coleta e codifica\u00e7\u00e3o acelerada e inteligente de dados de atributos de estradas, conhecida como <a href=\"https:\/\/irap.org\/pt\/project\/ai-rap\/\">AiRAP<\/a> Foi inclu\u00eddo na Revis\u00e3o da Mesa Redonda e consta no relat\u00f3rio.<\/p>\n<p>O AiRAP tem o potencial de reduzir o tempo e o esfor\u00e7o necess\u00e1rios para as avalia\u00e7\u00f5es de seguran\u00e7a rodovi\u00e1ria, diminuir os custos por unidade de extens\u00e3o da estrada, melhorar a precis\u00e3o e disponibilizar dados para todas as estradas do mundo.<\/p>\n<p>Para desbloquear esse potencial, o principal objetivo do AiRAP \u00e9 obter dados sobre atributos de estradas, fluxo de tr\u00e1fego e velocidade, seguindo a &quot;especifica\u00e7\u00e3o global comum&quot; do iRAP, e mapear o desempenho de seguran\u00e7a e as classifica\u00e7\u00f5es por estrelas.<\/p>\n<p>O AiRAP incorpora avan\u00e7os em intelig\u00eancia artificial, aprendizado de m\u00e1quina, sistemas de vis\u00e3o (rua e c\u00e9u), LIDAR, telem\u00e1tica e outras fontes de dados.<\/p>\n<p>Os fornecedores podem propor rotinas de tradu\u00e7\u00e3o para converter dados coletados por m\u00e1quinas em dados compat\u00edveis com o iRAP, com a convers\u00e3o certificada pelo iRAP. Os dados devem ser publicados mundialmente, juntamente com quaisquer condi\u00e7\u00f5es de uso associadas, conforme acordado entre o iRAP e o fornecedor.<\/p>\n<p>Leia o relat\u00f3rio da mesa redonda da ITF <a href=\"https:\/\/www.itf-oecd.org\/sites\/default\/files\/docs\/artificial-intelligence-road-infrastructure-safety-management.pdf\">aqui<\/a>.<\/p>\n<p>Para obter mais informa\u00e7\u00f5es sobre AiRAP, visite <a href=\"https:\/\/irap.org\/pt\/project\/ai-rap\/\">https:\/\/irap.org\/project\/ai-rap\/<\/a><\/p>\n<p>As mesas-redondas da ITF re\u00fanem especialistas internacionais para discutir t\u00f3picos espec\u00edficos, principalmente sobre aspectos econ\u00f4micos e regulat\u00f3rios das pol\u00edticas de transporte nos 63 pa\u00edses membros da ITF.<\/p>\n<p>A ITF \u00e9 uma organiza\u00e7\u00e3o intergovernamental com 63 pa\u00edses membros. Ela atua como um centro de estudos para pol\u00edticas de transporte e organiza a C\u00fapula Anual de Ministros dos Transportes.<\/p>\n<p>Os participantes da mesa-redonda sobre IA representavam autoridades p\u00fablicas, os setores de transporte, tecnologia e dados, institutos de pesquisa e organiza\u00e7\u00f5es internacionais.<\/p>","protected":false},"excerpt":{"rendered":"<p>Findings of the International Transport Forum (ITF) 187 Roundtable on Artificial Intelligence (AI) in Proactive Road Infrastructure Safety Management have been published noting the important potential and role of AiRAP. AI pushes the limits of pattern recognition beyond human capabilities and may hold the key to identifying unknown crash-prone road configurations to save lives. The [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":3015,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[28,266],"tags":[267,147,393],"class_list":["post-3014","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-global-news","category-airap","tag-ai","tag-airap","tag-coding"],"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>Benefit of AI in proactive road infrastructure safety management: ITF findings published - 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\/pt\/benefit-of-ai-in-proactive-road-infrastructure-safety-management-itf-findings-published\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Benefit of AI in proactive road infrastructure safety management: ITF findings published\" \/>\n<meta property=\"og:description\" content=\"Findings of the International Transport Forum (ITF) 187 Roundtable on Artificial Intelligence (AI) in Proactive Road Infrastructure Safety Management have been published noting the important potential and role of AiRAP. AI pushes the limits of pattern recognition beyond human capabilities and may hold the key to identifying unknown crash-prone road configurations to save lives. 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