{"id":71241,"date":"2026-09-29T17:48:13","date_gmt":"2026-09-29T15:48:13","guid":{"rendered":"https:\/\/www.kyotoclub.org\/?p=71241"},"modified":"2026-09-29T17:48:18","modified_gmt":"2026-09-29T15:48:18","slug":"citta-piu-sicure-di-notte-computer-vision-al-servizio-di-pedoni-e-ciclisti","status":"publish","type":"post","link":"https:\/\/www.kyotoclub.org\/it\/news\/news-dal-mondo\/2026\/09\/29\/citta-piu-sicure-di-notte-computer-vision-al-servizio-di-pedoni-e-ciclisti\/","title":{"rendered":"Citt\u00e0 pi\u00f9 sicure di notte: computer vision al servizio di pedoni e ciclisti"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Illuminazione stradale, vegetazione e progettazione degli spazi urbani possono incidere sulla visibilit\u00e0 e sulla sicurezza di chi si muove a piedi, in bicicletta o in monopattino. Un progetto sostenuto da EIT Urban Mobility ha sperimentato a\u00a0<strong>Vitoria-Gasteiz, Las Rozas e Bra\u0219ov<\/strong>\u00a0un sistema automatico che utilizza computer vision e dati raccolti dalle flotte comunali per mappare le zone critiche durante le ore notturne.\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">L\u2019esperienza mostra anche che realizzare piste ciclabili, aree pedonali, spazi verdi e nuove separazioni delle carreggiate pu\u00f2 modificare la distribuzione della luce e richiede quindi di integrare la pianificazione dell\u2019illuminazione con quella della mobilit\u00e0. Il sistema punta a sostituire controlli manuali episodici con un monitoraggio pi\u00f9 esteso della rete stradale, indirizzando gli interventi dove risultano maggiormente necessari.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Per chi vuole approfondire <a href=\"https:\/\/marketplace.eiturbanmobility.eu\/best-practices\/automatic-night-time-visibility-analysis-for-vulnerable-road-users\">https:\/\/marketplace.eiturbanmobility.eu\/best-practices\/automatic-night-time-visibility-analysis-for-vulnerable-road-users<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":53,"featured_media":71242,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"kc_post_selected_socio_id":0,"footnotes":"","jetpack_publicize_message":"Sicurezza stradale anche di notte. A Vitoria-Gasteiz, Las Rozas e Bra\u0219ov \u00e8 stato sperimentato un sistema di computer vision che utilizza i veicoli comunali per individuare automaticamente strade e incroci con problemi di visibilit\u00e0. Vegetazione, illuminazione e trasformazioni dello spazio urbano vengono analizzate per identificare le aree pi\u00f9 critiche per pedoni, ciclisti e utenti dei monopattini e programmare interventi mirati. ","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[23],"tags":[140,137,111],"class_list":["post-71241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-dal-mondo","tag-news-muoversincitta","tag-news-osservatorio-mobilita","tag-news-progetto-ccc"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Citt\u00e0 pi\u00f9 sicure di notte: computer vision al servizio di pedoni e ciclisti - Kyoto Club<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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