{"id":2921,"date":"2021-11-17T02:07:21","date_gmt":"2021-11-16T15:07:21","guid":{"rendered":"https:\/\/wordpress.temp.irap-dev.org\/how-road-authorities-use-high-quality-map-data-to-make-roads-safer-for-everyone-tomtom-and-irap\/"},"modified":"2026-04-30T12:38:16","modified_gmt":"2026-04-30T02:38:16","slug":"how-road-authorities-use-high-quality-map-data-to-make-roads-safer-for-everyone-tomtom-and-irap","status":"publish","type":"post","link":"https:\/\/irap.org\/pt\/how-road-authorities-use-high-quality-map-data-to-make-roads-safer-for-everyone-tomtom-and-irap\/","title":{"rendered":"Como as autoridades rodovi\u00e1rias utilizam dados cartogr\u00e1ficos de alta qualidade para tornar as estradas mais seguras para todos."},"content":{"rendered":"

Reproduzido do blog da TomTom. Hist\u00f3ria de Bart Volckaert.<\/strong><\/em><\/p>\n

Os acidentes rodovi\u00e1rios t\u00eam um enorme impacto sobre os indiv\u00edduos, suas fam\u00edlias e na\u00e7\u00f5es, ceifando a vida de mais de 3.000 pessoas por dia e custando, em m\u00e9dia, 31,8 trilh\u00f5es de libras esterlinas do PIB global. Ao identificar e priorizar melhorias na infraestrutura, as autoridades rodovi\u00e1rias podem tornar a rede mais segura para todos os usu\u00e1rios. Veja como os dados de mapeamento m\u00f3vel (MoMa) da TomTom ajudam a otimizar esse processo.<\/p>\n

Com o desenvolvimento global, mais estradas s\u00e3o constru\u00eddas e mais pessoas as utilizam. Embora isso seja positivo para a mobilidade e o crescimento econ\u00f4mico, uma rede rodovi\u00e1ria maior e mais movimentada traz s\u00e9rias preocupa\u00e7\u00f5es com a seguran\u00e7a. Todos os anos, cerca de 1,3 milh\u00e3o de pessoas perdem a vida em acidentes de tr\u00e2nsito, segundo a Organiza\u00e7\u00e3o Mundial da Sa\u00fade. Um n\u00famero ainda maior \u2013 entre 20 e 50 milh\u00f5es de pessoas \u2013 sofre ferimentos n\u00e3o fatais em acidentes nas estradas. (Dados mais detalhados podem ser encontrados no site Vaccines for Roads.) Para enfrentar esse problema, a Assembleia Geral das Na\u00e7\u00f5es Unidas estabeleceu a ambiciosa meta de reduzir pela metade o n\u00famero global de mortes e feridos em acidentes de tr\u00e2nsito at\u00e9 2030.<\/p>\n

Alcan\u00e7ando as estrelas<\/strong><\/p>\n

Para atingir esse objetivo, os Estados-Membros da ONU concordaram em 12 metas globais para a seguran\u00e7a rodovi\u00e1ria<\/a>, que incluem garantir que todas as novas estradas sejam constru\u00eddas com um padr\u00e3o de tr\u00eas estrelas ou superior (ou que atendam aos padr\u00f5es t\u00e9cnicos para todos os usu\u00e1rios da estrada, levando em considera\u00e7\u00e3o a seguran\u00e7a vi\u00e1ria). Outro exemplo, Alvo 4<\/a>, afirma que at\u00e9 2030 mais de 751.800 toneladas de viagens ser\u00e3o realizadas em estradas que atendem aos padr\u00f5es t\u00e9cnicos para todos os usu\u00e1rios da via, levando em considera\u00e7\u00e3o a seguran\u00e7a rodovi\u00e1ria.<\/p>\n

Criada pela organiza\u00e7\u00e3o sem fins lucrativos International Road Assessment Programme (iRAP), a classifica\u00e7\u00e3o por estrelas fornece uma medida objetiva do n\u00edvel de seguran\u00e7a inerente \u00e0 via para ocupantes de ve\u00edculos, motociclistas, ciclistas e pedestres. Quanto maior a classifica\u00e7\u00e3o por estrelas \u2013 medida em uma escala de um a cinco \u2013 mais segura \u00e9 a via.<\/p>\n

A classifica\u00e7\u00e3o por estrelas de uma estrada depende de diversos fatores relacionados \u00e0 sua natureza. Por exemplo, uma estrada com quatro estrelas provavelmente ter\u00e1 barreiras de seguran\u00e7a nas laterais e no canteiro central, al\u00e9m de cruzamentos com vias de acesso semelhantes \u00e0s de autoestradas. Em contrapartida, estradas com baixa classifica\u00e7\u00e3o tendem a apresentar objetos fixos perigosos pr\u00f3ximos \u00e0 pista, cruzamentos frequentes e aus\u00eancia de prote\u00e7\u00e3o frontal contra o tr\u00e1fego em sentido contr\u00e1rio, como uma barreira central.<\/p>\n

De acordo com iRAP<\/a>, o risco de morte ou ferimentos graves de uma pessoa \u00e9 reduzido em 50% a cada melhoria na classifica\u00e7\u00e3o por estrelas de uma estrada \u2013 tornando-as uma ferramenta valiosa para medir e interpretar a seguran\u00e7a rodovi\u00e1ria.<\/p>\n

Dados em movimento<\/strong><\/p>\n

Ao determinar a classifica\u00e7\u00e3o por estrelas das estradas em sua rede, as autoridades rodovi\u00e1rias sabem onde tomar medidas concretas para melhorar tanto a qualidade quanto a seguran\u00e7a das vias.<\/p>\n

TomTom<\/a> A TomTom fornece dados e servi\u00e7os de mapas de alta qualidade e consistentes globalmente para dar suporte \u00e0 modelagem iRAP, facilitando para as autoridades rodovi\u00e1rias a avalia\u00e7\u00e3o e a melhoria da seguran\u00e7a de suas redes. Um dos pilares da abordagem da TomTom \u00e9 o MoMa, uma t\u00e9cnica usada para coletar informa\u00e7\u00f5es geogr\u00e1ficas do mundo real.<\/p>\n

 <\/p>\n

\"TomTom2\"<\/p>\n

Os carros TomTom MoMa completaram recentemente 20 anos. Eles mapeiam as estradas do mundo h\u00e1 mais tempo do que qualquer outra empresa.<\/em><\/p>\n

Os ve\u00edculos TomTom MoMa est\u00e3o equipados com as mais recentes c\u00e2meras 360\u00b0 \u201cLadybug\u201d e LiDAR \u201cVelodyne\u201d. Esses sensores, combinados com DGPS (GPS Diferencial), coletam mais de 700.000 pontos de dados, com uma precis\u00e3o de at\u00e9 dois cent\u00edmetros. Para cada quil\u00f4metro percorrido, um ve\u00edculo MoMa captura aproximadamente 3,8 bilh\u00f5es de pixels, resultando em imagens de alta qualidade.<\/p>\n

Acredita\u00e7\u00e3o iRAP<\/strong><\/p>\n

Os dados do TomTom MoMa foram agora integrados a ferramentas de software que garantem a codifica\u00e7\u00e3o de alta qualidade dos atributos do iRAP. Totalmente credenciada pelo iRAP, a abordagem assegura que os atributos das estradas possam ser registrados de forma eficiente pelas equipes de codifica\u00e7\u00e3o que utilizam o MoMa da TomTom. Isso possibilita que os milh\u00f5es de quil\u00f4metros de dados existentes da TomTom sejam utilizados para as avalia\u00e7\u00f5es do iRAP.<\/p>\n

Informa\u00e7\u00f5es detalhadas revelam novas perspectivas.<\/strong><\/p>\n

A TomTom armazena os dados capturados pelos seus ve\u00edculos MoMa em um enorme arquivo com milh\u00f5es de quil\u00f4metros de dados rodovi\u00e1rios. Esse vasto acervo de informa\u00e7\u00f5es \u00e9 licenciado aos clientes por meio do servi\u00e7o MoMa da TomTom.<\/p>\n

As imagens do MoMA e os dados LiDAR (nuvem de pontos 3D) s\u00e3o projetados para f\u00e1cil integra\u00e7\u00e3o com ferramentas de gest\u00e3o e an\u00e1lise de ativos. Quase qualquer elemento capturado em uma imagem ou nuvem de pontos pode ser extra\u00eddo para an\u00e1lise, desde sinaliza\u00e7\u00e3o vi\u00e1ria e mobili\u00e1rio urbano (sem\u00e1foros, abrigos e barreiras) at\u00e9 marca\u00e7\u00f5es de pista e tipos de pontes.<\/p>\n

Ao utilizar imagens de mapeamento m\u00f3vel, a iRAP consegue compreender a qualidade das estradas, indicando \u00e0s autoridades onde a infraestrutura pode ser melhorada.<\/p>\n

O poder dos dados da sonda GPS para apoiar as metas da ONU<\/strong><\/p>\n

A TomTom continua aprimorando o MoMa as a Service para ajudar os clientes a obterem ainda mais valor das nossas informa\u00e7\u00f5es de localiza\u00e7\u00e3o. Isso inclui uma nova abordagem de coleta de dados, na qual agregamos e analisamos dados de GPS da nossa rede com mais de 600 milh\u00f5es de dispositivos conectados para identificar as estradas mais movimentadas do mundo. Com insights sobre o fluxo de tr\u00e1fego, os clientes podem identificar as \u00e1reas de maior congestionamento em sua rede, bem como potenciais pontos cr\u00edticos de acidentes, e tomar medidas direcionadas para reduzir o congestionamento e aumentar a seguran\u00e7a.<\/p>\n

Causando um impacto real na seguran\u00e7a rodovi\u00e1ria<\/strong><\/p>\n

Atualmente, os dados do TomTom MoMa podem ser utilizados por organiza\u00e7\u00f5es para extrair diferentes tipos de caracter\u00edsticas das estradas e realizar medi\u00e7\u00f5es de qualidade. Isso permite que as ag\u00eancias rodovi\u00e1rias inspecionem, gerenciem e melhorem a qualidade \u2013 e, consequentemente, a seguran\u00e7a \u2013 de suas vias.<\/p>\n

Os dados da TomTom oferecem um complemento \u00fatil aos levantamentos tradicionais de redes rodovi\u00e1rias, proporcionando \u00e0s organiza\u00e7\u00f5es uma maneira r\u00e1pida e econ\u00f4mica de identificar os atributos iRAP e se beneficiar do uso integrado de dados LiDAR e de imagem para determinar com precis\u00e3o a classifica\u00e7\u00e3o por estrelas das estradas. Com a vasta gama de dados cartogr\u00e1ficos e a expertise da TomTom dispon\u00edveis como servi\u00e7o, os clientes obt\u00eam acesso direto \u00e0s informa\u00e7\u00f5es necess\u00e1rias para avaliar e melhorar a seguran\u00e7a rodovi\u00e1ria sem um grande investimento inicial.<\/p>\n

A TomTom tamb\u00e9m \u00e9 uma parceira ativa da Inova\u00e7\u00f5es AiRAP<\/a>, que est\u00e3o explorando maneiras de viabilizar dados RAP acelerados e inteligentes para ag\u00eancias rodovi\u00e1rias usando intelig\u00eancia artificial e aprendizado de m\u00e1quina.<\/p>","protected":false},"excerpt":{"rendered":"

Reproduced from TomTom blog. Story by Bart Volckaert. Road crashes take a huge toll on individuals, their families, and nations, claiming the lives of more than 3,000 people each day and costing 3% of global GDP on average. By identifying and prioritizing infrastructure improvements, road authorities can make the network safer for all users. Here\u2019s […]<\/p>\n","protected":false},"author":10,"featured_media":2922,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[28,266],"tags":[147,292,437],"class_list":["post-2921","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-global-news","category-airap","tag-airap","tag-data","tag-tomtom"],"acf":[],"yoast_head":"\nHow road authorities use high-quality map data to make roads safer for everyone - 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\/how-road-authorities-use-high-quality-map-data-to-make-roads-safer-for-everyone-tomtom-and-irap\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How road authorities use high-quality map data to make roads safer for everyone\" \/>\n<meta property=\"og:description\" content=\"Reproduced from TomTom blog. 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