{"id":1306,"date":"2020-03-11T15:10:07","date_gmt":"2020-03-11T15:10:07","guid":{"rendered":"https:\/\/adaptiverecognition.com\/case-studies\/nationwide-traffic-enforcement-in-hungary\/"},"modified":"2025-02-27T10:17:05","modified_gmt":"2025-02-27T10:17:05","slug":"nationwide-traffic-enforcement-in-hungary","status":"publish","type":"case-study","link":"https:\/\/adaptiverecognition.com\/pl\/case-study\/nationwide-traffic-enforcement-in-hungary\/","title":{"rendered":"Og\u00f3lnokrajowe egzekwowanie przepis\u00f3w drogowych na W\u0119grzech"},"content":{"rendered":"<p class=\"translation-block\">Na W\u0119grzech w latach 2012\u20132015 (pierwsza faza) wdro\u017cono og\u00f3lnokrajowy system egzekwowania przepis\u00f3w drogowych o nazwie V\u00c9DA, kt\u00f3rego celem by\u0142o zwi\u0119kszenie bezpiecze\u0144stwa na drogach. System V\u00c9DA sk\u0142ada si\u0119 z mobilnych i stacjonarnych z\u0142o\u017conych punkt\u00f3w kontroli ruchu, dzia\u0142aj\u0105cych zgodnie z dyrektyw\u0105 Unii Europejskiej dotycz\u0105c\u0105 ograniczenia \u015bmiertelnych wypadk\u00f3w drogowych.<\/p>\n\n\n\n<p>W przeci\u0119tnym miesi\u0105cu system V\u00c9DA generuje 22 miliony rekord\u00f3w zdarze\u0144 drogowych, pochodz\u0105cych z danych z 160 mobilnych punkt\u00f3w kontroli i 134 stacjonarnych punkt\u00f3w egzekwowania przepis\u00f3w ruchu drogowego.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"341\" src=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/szovegkozi-1.jpg\" alt=\"\" class=\"wp-image-3230\" srcset=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/szovegkozi-1.jpg 1024w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/szovegkozi-1-300x100.jpg 300w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/szovegkozi-1-768x256.jpg 768w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/szovegkozi-1-18x6.jpg 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading h4\" id=\"h-mobile-enforcement-solution\">Mobilne rozwi\u0105zanie do egzekwowania przepis\u00f3w<\/h2>\n\n\n\n<p class=\"translation-block\">Obecny projekt obejmuje 160 przeno\u015bnych kamer do kontroli pr\u0119dko\u015bci i ruchu drogowego Adaptive Recognition\u00ae S1, kt\u00f3re mog\u0105 wykonywa\u0107 na miejscu:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>ANPR (Automatic Number Plate Recognition), <\/li>\n\n\n\n<li>certyfikowany pomiar pr\u0119dko\u015bci oraz<\/li>\n\n\n\n<li>wykrywa\u0107 szeroki zakres wykrocze\u0144 drogowych, takich jak:<\/li>\n\n\n\n<li>nieuprawniona jazda buspasem lub pasem ratunkowym,<\/li>\n\n\n\n<li>zabronione przejechanie przejazdu kolejowego lub linii ci\u0105g\u0142ej,<\/li>\n\n\n\n<li>jazda w niew\u0142a\u015bciwym kierunku lub wykrywanie zakazanego wjazdu<\/li>\n<\/ul>\n\n\n\n<p>Kamery te pracuj\u0105 na statywie, ale mog\u0105 by\u0107 r\u00f3wnie\u017c umieszczone wewn\u0105trz pojazdu, a funkcje detekcji dzia\u0142aj\u0105 nawet przez przedni\u0105 szyb\u0119. Rozwi\u0105zanie zosta\u0142o zaprojektowane tak, aby by\u0142o ca\u0142kowicie odporne na warunki atmosferyczne.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1024\" height=\"273\" src=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2020\/03\/product-card_s1-1024x273-2.jpg\" alt=\"\" class=\"wp-image-7635\" srcset=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2020\/03\/product-card_s1-1024x273-2.jpg 1024w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2020\/03\/product-card_s1-1024x273-2-300x80.jpg 300w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2020\/03\/product-card_s1-1024x273-2-768x205.jpg 768w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2020\/03\/product-card_s1-1024x273-2-18x5.jpg 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1024\" height=\"377\" src=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/3_Road_toll_collection_2020-1024x377-1.jpg\" alt=\"\" class=\"wp-image-3232\" srcset=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/3_Road_toll_collection_2020-1024x377-1.jpg 1024w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/3_Road_toll_collection_2020-1024x377-1-300x110.jpg 300w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/3_Road_toll_collection_2020-1024x377-1-768x283.jpg 768w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/3_Road_toll_collection_2020-1024x377-1-18x7.jpg 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading h4\" id=\"h-fixed-traffic-control-points\">Stacjonarne punkty kontroli ruchu<\/h2>\n\n\n\n<p>Stacjonarne odcinki (korzystaj\u0105ce z systemu Adaptive Recognition TrafficSpot\u00ae) s\u0105 zainstalowane w 134 lokalizacjach, obejmuj\u0105c \u0142\u0105cznie 365 pas\u00f3w ruchu i jednocze\u015bnie gromadz\u0105c dane. Te sta\u0142e punkty egzekwowania przepis\u00f3w wykonuj\u0105 nast\u0119puj\u0105ce funkcje przez 24\/7:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"translation-block\"><a href=\"\/pl\/product-categories\/cameras\/\" target=\"_blank\" rel=\"noreferrer noopener\">ANPR <\/a>(Automatic Number Plate Recognition)<\/li>\n\n\n\n<li class=\"translation-block\">rozpoznawanie tablic ADR (materia\u0142y niebezpieczne)<\/li>\n\n\n\n<li class=\"translation-block\">certyfikowany pomiar pr\u0119dko\u015bci urz\u0105dzeniami radarowymi<\/li>\n\n\n\n<li>detekcja przejazdu na czerwonym \u015bwietle<\/li>\n\n\n\n<li>nadz\u00f3r pasa autobusowego lub ratunkowego<\/li>\n\n\n\n<li>detekcja zakazanego wjazdu<\/li>\n\n\n\n<li>detekcja jazdy w niew\u0142a\u015bciwym kierunku<\/li>\n\n\n\n<li>detekcja przejazdu przez lini\u0119 ci\u0105g\u0142\u0105 oraz zakazanego przejazdu kolejowego<\/li>\n\n\n\n<li>zliczanie ruchu i wykrywanie kork\u00f3w<\/li>\n\n\n\n<li>detekcja korzystania z pas\u00f3w bezpiecze\u0144stwa<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"492\" src=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/Nation_wide_traffic_enforcement_in_Hungary_img01-1024x492-1.jpg\" alt=\"\" class=\"wp-image-3233\" srcset=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/Nation_wide_traffic_enforcement_in_Hungary_img01-1024x492-1.jpg 1024w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/Nation_wide_traffic_enforcement_in_Hungary_img01-1024x492-1-300x144.jpg 300w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/Nation_wide_traffic_enforcement_in_Hungary_img01-1024x492-1-768x369.jpg 768w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/Nation_wide_traffic_enforcement_in_Hungary_img01-1024x492-1-18x9.jpg 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading h4\" id=\"h-the-nationwide-layout\">Uk\u0142ad og\u00f3lnokrajowy<\/h2>\n\n\n\n<p>Przyjrzyjmy si\u0119 liczbom. Istniej\u0105 134 sta\u0142e lokalizacje, z czego 89 w \u015brodowisku miejskim oraz 45 w odleg\u0142ych obszarach dr\u00f3g i autostrad. Najmniejsze systemy obejmuj\u0105 2 pasy ruchu, natomiast najbardziej z\u0142o\u017cone monitoruj\u0105 6 pas\u00f3w jednocze\u015bnie.<\/p>\n\n\n\n<p>Pod wzgl\u0119dem produkt\u00f3w sta\u0142e punkty kontroli s\u0105 zarz\u0105dzane przez Adaptive Recognition TrafficSpot i obejmuj\u0105:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>365 kamer Adaptive Recognition\u00ae FreewayCAM Full HD z diodami IR (do przedniego ANPR)<\/li>\n\n\n\n<li>365 kamer Adaptive Recognition\u00ae FreewayCAM HD z diodami IR (do tylnego ANPR)<\/li>\n\n\n\n<li>175 kamer Adaptive Recognition\u00ae EnforceCAM (do analityki ruchu)<\/li>\n\n\n\n<li>200 laserowych skaner\u00f3w kategoryzuj\u0105cych<\/li>\n\n\n\n<li>365 certyfikowanych radar\u00f3w do pomiaru pr\u0119dko\u015bci<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"461\" src=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/Nation_wide_traffic_enforcement_in_Hungary_img02-1024x461-1.jpg\" alt=\"\" class=\"wp-image-3235\" srcset=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/Nation_wide_traffic_enforcement_in_Hungary_img02-1024x461-1.jpg 1024w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/Nation_wide_traffic_enforcement_in_Hungary_img02-1024x461-1-300x135.jpg 300w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/Nation_wide_traffic_enforcement_in_Hungary_img02-1024x461-1-768x346.jpg 768w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/05\/Nation_wide_traffic_enforcement_in_Hungary_img02-1024x461-1-18x8.jpg 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading h4\" id=\"h-effects-and-results\">Efekty i rezultaty<\/h2>\n\n\n\n<p>V\u00c9DA jest fikcyjnym w\u0119gierskim s\u0142owem \u2013 opartym na czasowniku \u201echroni\u0107\u201d. To najwa\u017cniejsza rola ca\u0142ego systemu: chroni\u0107 i zapewnia\u0107 bezpiecze\u0144stwo spo\u0142ecze\u0144stwa. Ten cel pojawia si\u0119 r\u00f3wnie\u017c w ha\u015ble cz\u0119sto u\u017cywanym przez w\u0119giersk\u0105 policj\u0119: \u201eaby ka\u017cdy m\u00f3g\u0142 bezpiecznie wr\u00f3ci\u0107 do domu\u201d.<\/p>\n\n\n\n<p>Wci\u0105\u017c uwa\u017camy za wa\u017cne podkre\u015blenie tej motywacji, poniewa\u017c egzekwowanie przepis\u00f3w drogowych w kraju (i na ca\u0142ym \u015bwiecie) nadal budzi mieszane odczucia \u2013 mimo wyj\u0105tkowych rezultat\u00f3w. W Adaptive Recognition zawsze patrzymy szerzej, rozwijaj\u0105c tak\u0105 technologi\u0119: by zapobiega\u0107 bezsensownym tragediom.<\/p>\n\n\n\n<p>Wprowadzenie takiego systemu w kraju oraz obj\u0119cie go zasi\u0119giem og\u00f3lnokrajowym przynosi imponuj\u0105ce rezultaty niezale\u017cnie od lokalizacji. Tylko w pierwszym kwartale po uruchomieniu W\u0119gry odnotowa\u0142y nast\u0119puj\u0105ce wyniki:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Liczba ofiar \u015bmiertelnych w wypadkach drogowych spad\u0142a o 20%<\/li>\n\n\n\n<li>Liczba \u015bmiertelnych wypadk\u00f3w zmniejszy\u0142a si\u0119 o prawie 12%<\/li>\n\n\n\n<li>Powa\u017cne obra\u017cenia w wypadkach drogowych zmniejszy\u0142y si\u0119 o prawie 10%<\/li>\n<\/ul>\n\n\n\n<p>W pierwszym roku wi\u0119kszo\u015b\u0107 wykrytych narusze\u0144 dotyczy\u0142a przekroczenia pr\u0119dko\u015bci: co da\u0142o 265 000 zarejestrowanych zdarze\u0144 \u2013 mimo \u017ce system zosta\u0142 wprowadzony przy du\u017cym wsparciu medialnym.<\/p>","protected":false},"excerpt":{"rendered":"<p>Rz\u0105d w\u0119gierski mia\u0142 w 2012 roku marzenie: zmniejszy\u0107 liczb\u0119 \u015bmiertelnych wypadk\u00f3w drogowych o po\u0142ow\u0119 do 2020 roku, a do 2050 roku obni\u017cy\u0107 j\u0105 niemal do zera.<\/p>","protected":false},"featured_media":15247,"template":"","industry-for-case-study":[43],"product-category-for-case-study":[50],"region-for-case-study":[30],"class_list":["post-1306","case-study","type-case-study","status-publish","has-post-thumbnail","hentry","product-category-for-case-study-speed-traffic-enforcement","region-for-case-study-europe"],"acf":{"case_study_hero_big_image":15245,"client_name":"V\u00c9DA","client_logo":15246,"about_the_client":"The <a href=\"https:\/\/hu.wikipedia.org\/wiki\/V%C3%89DA_K%C3%B6z%C3%BAti_Intelligens_Kamerah%C3%A1l%C3%B3zat\">V\u00c9DA Intelligent Road Camera Network<\/a> (V\u00c9DA K\u00f6z\u00fati Intelligens Kamerah\u00e1l\u00f3zat) is a cutting-edge traffic monitoring system in Hungary, designed to enhance road safety and enforce traffic regulations. Operated by the Hungarian police, V\u00c9DA comprises advanced cameras capable of detecting speeding, seatbelt violations, and unauthorized vehicle activities. 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