{"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\/fr\/us-airap-pilot-announced\/","title":{"rendered":"Le pilote am\u00e9ricain AiRAP a annonc\u00e9"},"content":{"rendered":"<p>Le Conseil de recherche sur les transports (<a href=\"http:\/\/www.trb.org\/\">TRB<\/a>) a lanc\u00e9 des appels d&#039;offres dans le cadre d&#039;un projet pilote innovant AiRAP visant \u00e0 exploiter l&#039;intelligence artificielle et le big data pour am\u00e9liorer l&#039;analyse de la s\u00e9curit\u00e9 routi\u00e8re sur les r\u00e9seaux am\u00e9ricains, avec des retomb\u00e9es mondiales attendues.<\/p>\n<p>Le programme de recherche de 30 mois vise \u00e0 faire progresser l&#039;utilisation de l&#039;intelligence artificielle (IA) et de l&#039;apprentissage automatique (AA) dans l&#039;analyse des m\u00e9gadonn\u00e9es et des donn\u00e9es non conventionnelles afin d&#039;\u00e9valuer leur efficacit\u00e9 pour soutenir la prise de d\u00e9cision en mati\u00e8re de syst\u00e8mes s\u00fbrs et de priorit\u00e9s modales ainsi que le suivi des performances en mati\u00e8re de s\u00e9curit\u00e9 routi\u00e8re.<\/p>\n<p>L\u2019absence de donn\u00e9es \u00e0 faible co\u00fbt, d\u2019indicateurs de performance en mati\u00e8re de s\u00e9curit\u00e9 et d\u2019options d\u2019investissement prioritaires rend difficile pour les agences de comprendre la justification \u00e9conomique de routes plus s\u00fbres et de mesurer les progr\u00e8s accomplis.<\/p>\n<p>Le codage acc\u00e9l\u00e9r\u00e9 et intelligent de ces attributs peut g\u00e9n\u00e9rer des \u00e9conomies importantes et assurer l&#039;\u00e9chelle et la fr\u00e9quence de collecte et d&#039;analyse des donn\u00e9es n\u00e9cessaires \u00e0 un suivi complet des performances au fil du temps.<\/p>\n<p><a href=\"https:\/\/irap.org\/fr\/project\/ai-rap\/\">AiRAP<\/a> Ce rapport exploite les avanc\u00e9es en mati\u00e8re d&#039;IA, d&#039;apprentissage automatique, de syst\u00e8mes de vision (route et ciel), de d\u00e9tection et de t\u00e9l\u00e9m\u00e9trie par laser (LiDAR), de t\u00e9l\u00e9matique et d&#039;autres sources de donn\u00e9es afin de fournir des informations essentielles sur la s\u00e9curit\u00e9 routi\u00e8re, les performances en cas d&#039;accident, la priorisation des investissements et le classement par \u00e9toiles des routes par RAP pour les pi\u00e9tons, les cyclistes, les motocyclistes et les occupants des v\u00e9hicules.<\/p>\n<p>La recherche permettra d&#039;identifier les sources de donn\u00e9es potentielles, d&#039;identifier ou de d\u00e9velopper les algorithmes de pr\u00e9paration et d&#039;extraction de donn\u00e9es n\u00e9cessaires \u00e0 l&#039;analyse de s\u00e9curit\u00e9, et de documenter la couverture, la fr\u00e9quence de collecte, la granularit\u00e9, l&#039;accessibilit\u00e9 aux praticiens et le co\u00fbt de chaque source.<\/p>\n<p>Ces donn\u00e9es permettront potentiellement de g\u00e9n\u00e9rer plus fr\u00e9quemment et \u00e0 moindre co\u00fbt, entre autres\u00a0: des cartes des risques de mortalit\u00e9 et de blessures\u00a0; la cartographie des caract\u00e9ristiques routi\u00e8res\u00a0; des syst\u00e8mes de notation par \u00e9toiles et d\u2019autres analyses de s\u00e9curit\u00e9 pour les pi\u00e9tons, les cyclistes, les motocyclistes, les services de micromobilit\u00e9 et les occupants des v\u00e9hicules\u00a0; l\u2019identification des donn\u00e9es pour les analyses de s\u00e9curit\u00e9 et les outils associ\u00e9s\u00a0; et l\u2019\u00e9laboration de plans de s\u00e9curit\u00e9 pouvant servir aux demandes de financement et \u00e0 la priorisation des investissements sur les r\u00e9seaux routiers locaux et nationaux.<\/p>\n<p>Le projet pilote permettra d&#039;\u00e9laborer des lignes directrices pour la gestion des donn\u00e9es dans un format accessible par divers outils, et les r\u00e9sultats pourront \u00eatre inclus dans des ressources nationales telles que le manuel de s\u00e9curit\u00e9 routi\u00e8re de l&#039;AASHTO et d&#039;autres outils soutenant l&#039;analyse de la s\u00e9curit\u00e9 fond\u00e9e sur les donn\u00e9es.<\/p>\n<p>Vous trouverez de plus amples informations sur le projet pilote et les exigences. <a href=\"https:\/\/apps.trb.org\/cmsfeed\/TRBNetProjectDisplay.asp?ProjectID=5087\">ici<\/a> et les propositions doivent \u00eatre soumises au plus tard \u00e0 17h00, heure de l&#039;Est des \u00c9tats-Unis, le 13 septembre 2021.<\/p>\n<p>Cette recherche s&#039;appuiera sur les innovations en mati\u00e8re d&#039;IA en cours de d\u00e9veloppement \u00e0 l&#039;\u00e9chelle mondiale pour les programmes d&#039;\u00e9valuation routi\u00e8re (PAR) dans d&#039;autres pays.<\/p>\n<p>Pour plus d&#039;informations sur AiRAP, consultez <a href=\"https:\/\/irap.org\/fr\/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\/fr\/us-airap-pilot-announced\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\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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