{"id":3338,"date":"2024-11-21T09:50:20","date_gmt":"2024-11-21T09:50:20","guid":{"rendered":"https:\/\/urad.es\/?page_id=3338"},"modified":"2026-07-20T07:54:55","modified_gmt":"2026-07-20T07:54:55","slug":"conteo-y-clasificacion-de-vehiculos","status":"publish","type":"page","link":"https:\/\/urad.es\/en\/aplicaciones\/sistemas-de-conteo-y-clasificacion-de-vehiculos\/","title":{"rendered":"Vehicle Counting and Classification | uRAD Guide"},"content":{"rendered":"<div class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<!-- ================================================================ -->\n<!-- uRAD \u00b7 Gu\u00eda conteo y clasificaci\u00f3n de veh\u00edculos                    -->\n<!--   ->  pegar en WPBakery \"Raw HTML\" (o bloque HTML personalizado)   -->\n<!-- Los estilos van aparte, en \"CSS adicional\" de la p\u00e1gina.           -->\n<!-- Contenedor: #urad-cg-wrapper \u00b7 incluye los datos estructurados.    -->\n<!-- ================================================================ -->\n\n<script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"TechArticle\",\n    \"headline\": \"Sistemas de conteo y clasificaci\\u00f3n de veh\\u00edculos: gu\\u00eda para elegir tecnolog\\u00eda\",\n    \"description\": \"Gu\\u00eda t\\u00e9cnica y comparativa de las tecnolog\\u00edas de conteo y clasificaci\\u00f3n de veh\\u00edculos (radar FMCW, c\\u00e1maras, lazos inductivos, tubos neum\\u00e1ticos y aforo manual) para proyectos de movilidad urbana, ITS y Smart Cities.\",\n    \"inLanguage\": \"es\",\n    \"image\": \"https:\\\/\\\/urad.es\\\/wp-content\\\/uploads\\\/2024\\\/10\\\/DSC09899.webp\",\n    \"datePublished\": \"2024-11-21\",\n    \"dateModified\": \"2026-07-20\",\n    \"author\": {\n        \"@type\": \"Organization\",\n        \"name\": \"Equipo t\\u00e9cnico uRAD\",\n        \"url\": \"https:\\\/\\\/urad.es\\\/\"\n    },\n    \"publisher\": {\n        \"@type\": \"Organization\",\n        \"name\": \"uRAD \\u2014 Universal Radar\",\n        \"url\": \"https:\\\/\\\/urad.es\\\/\",\n        \"logo\": {\n            \"@type\": \"ImageObject\",\n            \"url\": \"https:\\\/\\\/urad.es\\\/wp-content\\\/uploads\\\/2021\\\/02\\\/urad_trans.png\"\n        }\n    },\n    \"mainEntityOfPage\": {\n        \"@type\": \"WebPage\",\n        \"@id\": \"https:\\\/\\\/urad.es\\\/aplicaciones\\\/sistemas-de-conteo-y-clasificacion-de-vehiculos\\\/\"\n    }\n}<\/script>\n<script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"BreadcrumbList\",\n    \"itemListElement\": [\n        {\n            \"@type\": \"ListItem\",\n            \"position\": 1,\n            \"name\": \"Inicio\",\n            \"item\": \"https:\\\/\\\/urad.es\\\/\"\n        },\n        {\n            \"@type\": \"ListItem\",\n            \"position\": 2,\n            \"name\": \"Aplicaciones\",\n            \"item\": \"https:\\\/\\\/urad.es\\\/aplicaciones\\\/\"\n        },\n        {\n            \"@type\": \"ListItem\",\n            \"position\": 3,\n            \"name\": \"Sistemas de conteo y clasificaci\\u00f3n de veh\\u00edculos\",\n            \"item\": \"https:\\\/\\\/urad.es\\\/aplicaciones\\\/sistemas-de-conteo-y-clasificacion-de-vehiculos\\\/\"\n        }\n    ]\n}<\/script>\n<script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"\\u00bfQu\\u00e9 es un sistema de conteo y clasificaci\\u00f3n de veh\\u00edculos?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Es un conjunto de sensores y software que detecta veh\\u00edculos al pasar por un punto de la v\\u00eda, los cuenta y los agrupa por tipolog\\u00eda (peat\\u00f3n, bicicleta, veh\\u00edculo ligero, pesado), pudiendo a\\u00f1adir velocidad, sentido de circulaci\\u00f3n y carril. 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El aforo de tr\\u00e1fico es un concepto m\\u00e1s amplio que incluye adem\\u00e1s el an\\u00e1lisis de intensidades (IMD), patrones horarios, ocupaci\\u00f3n y velocidad para caracterizar el comportamiento de una v\\u00eda a lo largo del tiempo.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"\\u00bfQu\\u00e9 tecnolog\\u00edas se usan para contar veh\\u00edculos?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Las m\\u00e1s habituales son el radar FMCW, las c\\u00e1maras con anal\\u00edtica de v\\u00eddeo, los lazos inductivos, los tubos neum\\u00e1ticos, el aforo manual y los sensores Bluetooth\\\/WiFi. Cada una tiene un compromiso distinto entre datos, privacidad, instalaci\\u00f3n y mantenimiento.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"\\u00bfQu\\u00e9 ventajas tiene el radar frente a una c\\u00e1mara?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"El radar no capta im\\u00e1genes personales, funciona de d\\u00eda y de noche y es m\\u00e1s estable frente a lluvia o niebla. Las c\\u00e1maras aportan riqueza visual y matr\\u00edcula, pero implican tratamiento de imagen y dependen de la iluminaci\\u00f3n. La elecci\\u00f3n depende del objetivo del proyecto.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"\\u00bfUn sistema sin c\\u00e1maras puede clasificar veh\\u00edculos?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"S\\u00ed. Tecnolog\\u00edas como el radar pueden clasificar por longitud o tipolog\\u00eda (peat\\u00f3n, bicicleta, ligero, pesado) sin captar imagen personal. El nivel de detalle de la clasificaci\\u00f3n depende de la tecnolog\\u00eda, la configuraci\\u00f3n y las condiciones del punto de medida.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"\\u00bfQu\\u00e9 datos se pueden obtener en un proyecto de conteo vehicular?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Seg\\u00fan la tecnolog\\u00eda y la configuraci\\u00f3n: conteo por carril, sentido de circulaci\\u00f3n, velocidad media o individual, clasificaci\\u00f3n por tipo de usuario, intensidad media diaria, patrones horarios y ocupaci\\u00f3n o congesti\\u00f3n, integrables en plataformas ITS, IoT o Smart City.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"\\u00bfCu\\u00e1ndo conviene usar radar en lugar de lazos inductivos?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"El radar suele convenir cuando se quiere evitar obra civil, medir velocidad y sentido, trabajar 24\\\/7 sin depender de iluminaci\\u00f3n y reducir mantenimiento. Los lazos inductivos requieren abrir la calzada y su reposici\\u00f3n, aunque siguen siendo una opci\\u00f3n v\\u00e1lida en instalaciones permanentes.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"\\u00bfQu\\u00e9 factores afectan a la precisi\\u00f3n del conteo?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"La posici\\u00f3n y altura del sensor, la geometr\\u00eda de la v\\u00eda, el tr\\u00e1fico muy denso, las oclusiones, los objetos est\\u00e1ticos, las vibraciones del soporte y las condiciones meteorol\\u00f3gicas extremas. Por eso conviene calibrar y validar los datos en campo.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"\\u00bfSe puede integrar el sistema con plataformas Smart City?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"S\\u00ed. Muchos sistemas de conteo ofrecen salidas y protocolos est\\u00e1ndar para integrarse con plataformas ITS, IoT y Smart City, lo que permite centralizar los datos y usarlos en la gesti\\u00f3n de tr\\u00e1fico y la planificaci\\u00f3n urbana.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"\\u00bfQu\\u00e9 informaci\\u00f3n necesito para pedir una evaluaci\\u00f3n t\\u00e9cnica?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Conviene definir el tipo de despliegue (temporal o permanente), n\\u00famero de carriles y sentidos, si se necesita clasificaci\\u00f3n y velocidad, si se permite obra civil, requisitos de privacidad, alimentaci\\u00f3n y conectividad disponibles, integraci\\u00f3n deseada y condiciones ambientales del punto.\"\n            }\n        }\n    ]\n}<\/script>\n\n<div id=\"urad-cg-wrapper\">\n<main>\n\n  <!-- HERO -->\n  <section class=\"hero\">\n    <div class=\"hero-grid-bg\"><\/div>\n    <div class=\"wrap\">\n      <nav class=\"crumbs\" aria-label=\"Migas de pan\">\n        <ol>\n          <li><a href=\"https:\/\/urad.es\/en\/\">Home<\/a><\/li>\n          <li><a href=\"https:\/\/urad.es\/en\/aplicaciones\/\">Applications<\/a><\/li>\n          <li aria-current=\"page\">Vehicle Counting &amp; Classification<\/li>\n        <\/ol>\n      <\/nav>\n      <div class=\"hero-inner\">\n        <div class=\"hero-text-col\">\n          <span class=\"hero-pill\"><i><\/i>Technical guide \u00b7 Mobility &amp; ITS<\/span>\n          <h1>Vehicle counting and classification systems: <span class=\"grad\">how to choose the right technology<\/span><\/h1>\n          <p class=\"hero-sub\">Compare radar, cameras, inductive loops, pneumatic tubes, Bluetooth\/WiFi and manual counting by available data, installation, privacy, maintenance and integration.<\/p>\n          <div class=\"hero-ctas\">\n            <a class=\"btn btn-primary\" href=\"#comparativa\">Compare Technologies<\/a>\n            <a class=\"btn btn-ghost\" href=\"#criterios\">See selection criteria<\/a>\n          <\/div>\n          <p class=\"hero-note\">A general guide for urban mobility, road, industrial-area and Smart City projects.<\/p>\n        <\/div>\n        <div class=\"hero-canvas\">\n          <div class=\"hero-photo\">\n            <span class=\"hero-corner tl\"><\/span>\n            <span class=\"hero-corner br\"><\/span>\n            <img decoding=\"async\" src=\"https:\/\/urad.es\/wp-content\/uploads\/2024\/10\/DSC09899.webp\" alt=\"Sensor de conteo y clasificaci\u00f3n de veh\u00edculos instalado en una v\u00eda urbana\" width=\"1200\" height=\"930\" loading=\"eager\" fetchpriority=\"high\" \/>\n            <div class=\"hero-tech-strip\">\n              <span class=\"ht-chip on\">FMCW Radar<\/span>\n              <span class=\"ht-chip\">Cameras<\/span>\n              <span class=\"ht-chip\">Loops<\/span>\n              <span class=\"ht-chip\">Tubes<\/span>\n              <span class=\"ht-chip\">Manual counting<\/span>\n            <\/div>\n          <\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- TOC -->\n  <nav class=\"toc\" aria-label=\"\u00cdndice de la gu\u00eda\">\n    <div class=\"wrap toc-inner\">\n      <span class=\"toc-label\">In This Guide<\/span>\n      <ul class=\"toc-list\">\n        <li><a href=\"#que-es\">What It Is<\/a><\/li>\n        <li><a href=\"#datos\">Data measured<\/a><\/li>\n        <li><a href=\"#tecnologias\">Technologies<\/a><\/li>\n        <li><a href=\"#comparativa\">Comparison<\/a><\/li>\n        <li><a href=\"#cuando-radar\">When to use radar<\/a><\/li>\n        <li><a href=\"#privacidad\">Privacy<\/a><\/li>\n        <li><a href=\"#criterios\">Selection criteria<\/a><\/li>\n        <li><a href=\"#limitaciones\">Limitations<\/a><\/li>\n        <li><a href=\"#faq\">FAQ<\/a><\/li>\n      <\/ul>\n    <\/div>\n  <\/nav>\n\n  <!-- RESUMEN EJECUTIVO -->\n  <section class=\"resumen\" aria-label=\"Resumen r\u00e1pido\">\n    <div class=\"wrap\">\n      <div class=\"resumen-box\">\n        <div class=\"resumen-head\">\n          <span class=\"rh-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M13 2L3 14h7l-1 8 10-12h-7l1-8z\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\n          <h2>Quick summary: which technology fits best<\/h2>\n        <\/div>\n        <div class=\"resumen-grid\">\n          <div class=\"resumen-item\">\n            <span class=\"ri-tec\">Pneumatic tubes<\/span>\n            <p>For <strong>temporary survey campaigns<\/strong> , they can be enough.<\/p>\n          <\/div>\n          <div class=\"resumen-item\">\n            <span class=\"ri-tec\">Cameras<\/span>\n            <p>For <strong>visual identification or licence plates<\/strong> (LPR).<\/p>\n          <\/div>\n          <div class=\"resumen-item\">\n            <span class=\"ri-tec\">Inductive loops<\/span>\n            <p>For <strong>permanent in-road<\/strong> installations.<\/p>\n          <\/div>\n          <div class=\"resumen-item\">\n            <span class=\"ri-tec\">FMCW Radar<\/span>\n            <p>For <strong>continuous counting with no cameras and no civil works<\/strong>.<\/p>\n          <\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- QU\u00c9 ES -->\n  <section id=\"que-es\" class=\"definicion\">\n    <div class=\"wrap def-inner\">\n      <div class=\"def-body\">\n        <div class=\"section-title-wrap\" style=\"margin-bottom:20px\">\n          <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M12 8h.01M11 12h1v4h1\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Concept<\/span>\n          <h2>What is a vehicle counting system?<\/h2>\n        <\/div>\n        <p>A vehicle counting and classification system is a set of <strong>sensors and software<\/strong> that detects the vehicles passing a point on the road, <strong>counts them<\/strong> and groups them by <strong>type<\/strong>. Depending on the technology, it can add information on <strong>speed, direction of travel, lane and occupancy.<\/strong>.<\/p>\n        <p>This data characterises how a road behaves over time: analysing <strong>peak hours<\/strong>, calculating <strong>annual average daily traffic<\/strong> and providing objective information for <strong>urban planning and mobility management<\/strong>.<\/p>\n        <div class=\"intent-note\"><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M12 8h.01M11 12h1v4h1\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><p>This guide explains the main <strong>vehicle counting and classification technologies<\/strong> and how to choose between them. For models, specifications and radar-based installation, see the <a href=\"https:\/\/urad.es\/en\/soluciones-cerradas\/urad-smart-traffic\/\">uRAD Smart Traffic solution<\/a>.<\/p><\/div>\n        <ul class=\"def-mini\">\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M3 12h4l3-7 4 14 3-7h4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Vehicle counting<\/li>\n          <li><svg viewbox=\"0 0 24 24\"><rect x=\"3\" y=\"13\" width=\"4\" height=\"7\" rx=\"1\"\/><rect x=\"10\" y=\"9\" width=\"4\" height=\"11\" rx=\"1\"\/><rect x=\"17\" y=\"4\" width=\"4\" height=\"16\" rx=\"1\"\/><\/svg>Classification by type<\/li>\n          <li><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M12 7v5l3 2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Speed<\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M7 17l5-5 5 5M7 7l5 5 5-5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Direction &amp; lane<\/li>\n        <\/ul>\n      <\/div>\n      <figure class=\"def-figure\">\n        <img decoding=\"async\" src=\"https:\/\/urad.es\/wp-content\/uploads\/2023\/01\/SmartTraffic_16.jpg\" alt=\"Sistema de sensores de tr\u00e1fico midiendo el flujo de veh\u00edculos en una v\u00eda urbana\" width=\"800\" height=\"600\" loading=\"lazy\" \/>\n        <figcaption>Flow measurement on an urban road<\/figcaption>\n      <\/figure>\n    <\/div>\n  <\/section>\n\n  <!-- VISUAL 1: FLUJO -->\n  <section class=\"vis on-white\" aria-label=\"How a vehicle counting system works\">\n    <div class=\"wrap vis-narrow\">\n      <div class=\"section-title-wrap center\">\n        <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><path d=\"M4 7h16M4 12h16M4 17h10\" stroke-linecap=\"round\"\/><\/svg>Data flow<\/span>\n        <h2>How a vehicle counting system works<\/h2>\n      <\/div>\n      <div class=\"flow\">\n        <div class=\"flow-step\"><div class=\"fs-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 17h2l1-5h12l1 5h2M6 12V8a2 2 0 0 1 2-2h8a2 2 0 0 1 2 2v4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><circle cx=\"7.5\" cy=\"17.5\" r=\"1.5\"\/><circle cx=\"16.5\" cy=\"17.5\" r=\"1.5\"\/><\/svg><\/div><div><b>Road user<\/b><span>Vehicle, bike or pedestrian<\/span><\/div><\/div>\n        <div class=\"flow-arrow\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 12h14M13 6l6 6-6 6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n        <div class=\"flow-step accent\"><div class=\"fs-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M12 12m-2 0a2 2 0 1 0 4 0a2 2 0 1 0-4 0M6 8a6 6 0 0 0 0 8M18 8a6 6 0 0 1 0 8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div><div><b>Sensor<\/b><span>Radar, camera, loop\u2026<\/span><\/div><\/div>\n        <div class=\"flow-arrow\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 12h14M13 6l6 6-6 6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n        <div class=\"flow-step\"><div class=\"fs-ic\"><svg viewbox=\"0 0 24 24\"><rect x=\"4\" y=\"4\" width=\"16\" height=\"16\" rx=\"2\"\/><path d=\"M9 9h6v6H9z\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div><div><b>Processing<\/b><span>Detection and classification<\/span><\/div><\/div>\n        <div class=\"flow-arrow\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 12h14M13 6l6 6-6 6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n        <div class=\"flow-step\"><div class=\"fs-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 3v18h18M7 14l4-4 3 3 5-6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div><div><b>Structured data<\/b><span>Lane, direction, speed<\/span><\/div><\/div>\n        <div class=\"flow-arrow\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 12h14M13 6l6 6-6 6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n        <div class=\"flow-step\"><div class=\"fs-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M12 2v4M12 18v4M2 12h4M18 12h4\"\/><circle cx=\"12\" cy=\"12\" r=\"4\"\/><\/svg><\/div><div><b>ITS \/ Smart City platform<\/b><span>Analysis and integration<\/span><\/div><\/div>\n      <\/div>\n      <p class=\"vis-cap\">Whatever the technology, the system turns <strong>pass events into structured data<\/strong> for analysis, planning or integration with external platforms.<\/p>\n    <\/div>\n  <\/section>\n\n  <!-- QU\u00c9 DATOS -->\n  <section id=\"datos\" class=\"datos\">\n    <div class=\"wrap\">\n      <div class=\"section-title-wrap center\">\n        <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 3v18h18M7 14l4-4 3 3 5-6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Available data<\/span>\n        <h2>What data can a counting system provide?<\/h2>\n        <p class=\"s-lead\">Depending on the technology and project configuration, a counting and classification system can provide different types of information.<\/p>\n      <\/div>\n      <div class=\"datos-group\">\n        <h3 class=\"datos-group-h\">Data captured directly<\/h3>\n        <p class=\"datos-group-sub\">Information the sensor captures on each pass event.<\/p>\n        <div class=\"datos-grid\">\n          <article class=\"dato\">\n            <div class=\"d-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 6h18M3 12h18M3 18h18\" stroke-linecap=\"round\"\/><\/svg><\/div>\n            <h3>Pass event and lane<\/h3>\n            <p>Detection of each vehicle and the lane it travels in as it passes the measurement point.<\/p>\n          <\/article>\n          <article class=\"dato\">\n            <div class=\"d-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M7 17l5-5 5 5M7 7l5 5 5-5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n            <h3>Direction of travel<\/h3>\n            <p>Distinguishes vehicles approaching from those moving away from the measurement point.<\/p>\n          <\/article>\n          <article class=\"dato\">\n            <div class=\"d-ic\"><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M12 7v5l3 2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n            <h3>Speed<\/h3>\n            <p>Speed of each vehicle or section average, depending on the technology used.<\/p>\n          <\/article>\n          <article class=\"dato\">\n            <div class=\"d-ic\"><svg viewbox=\"0 0 24 24\"><rect x=\"3\" y=\"13\" width=\"4\" height=\"7\" rx=\"1\"\/><rect x=\"10\" y=\"9\" width=\"4\" height=\"11\" rx=\"1\"\/><rect x=\"17\" y=\"4\" width=\"4\" height=\"16\" rx=\"1\"\/><\/svg><\/div>\n            <h3>Classification by type<\/h3>\n            <p>Grouping by type: pedestrian, bicycle, light or heavy vehicle.<\/p>\n          <\/article>\n        <\/div>\n      <\/div>\n      <div class=\"datos-group calc\">\n        <h3 class=\"datos-group-h\">Indicators calculated from the data<\/h3>\n        <p class=\"datos-group-sub\">Metrics derived by aggregating and analysing the captured events.<\/p>\n        <div class=\"datos-grid\">\n          <article class=\"dato\">\n            <div class=\"d-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M12 2v20M2 12h20\" stroke-linecap=\"round\"\/><circle cx=\"12\" cy=\"12\" r=\"9\"\/><\/svg><\/div>\n            <h3>Annual average daily traffic (AADT)<\/h3>\n            <p>Aggregated traffic volume that helps size the road.<\/p>\n          <\/article>\n          <article class=\"dato\">\n            <div class=\"d-ic\"><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M12 7v5l4 2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n            <h3>Hourly distribution and peak hours<\/h3>\n            <p>Demand curves across the day and identification of traffic peaks.<\/p>\n          <\/article>\n          <article class=\"dato\">\n            <div class=\"d-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 3v18h18M7 14l4-4 3 3 5-6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n            <h3>Weekly trend<\/h3>\n            <p>Comparison of volumes across days and weeks to spot trends.<\/p>\n          <\/article>\n          <article class=\"dato\">\n            <div class=\"d-ic\"><svg viewbox=\"0 0 24 24\"><rect x=\"3\" y=\"5\" width=\"18\" height=\"14\" rx=\"2\"\/><path d=\"M3 10h18M8 19v2M16 19v2\" stroke-linecap=\"round\"\/><\/svg><\/div>\n            <h3>Congestion indicators<\/h3>\n            <p>Degree of road saturation to anticipate and manage congestion.<\/p>\n          <\/article>\n        <\/div>\n      <\/div>\n\n    <\/div>\n  <\/section>\n\n  <!-- TECNOLOG\u00cdAS -->\n  <section id=\"tecnologias\" class=\"tec\">\n    <div class=\"wrap\">\n      <div class=\"section-title-wrap center\">\n        <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><rect x=\"3\" y=\"3\" width=\"7\" height=\"7\" rx=\"1\"\/><rect x=\"14\" y=\"3\" width=\"7\" height=\"7\" rx=\"1\"\/><rect x=\"3\" y=\"14\" width=\"7\" height=\"7\" rx=\"1\"\/><rect x=\"14\" y=\"14\" width=\"7\" height=\"7\" rx=\"1\"\/><\/svg>Available technologies<\/span>\n        <h2>Technologies for counting and classifying vehicles<\/h2>\n        <p class=\"s-lead\">Each technology offers a different trade-off between the data it provides, privacy, installation and maintenance. This is a balanced overview.<\/p>\n      <\/div>\n      <div class=\"tec-grid\">\n        <article class=\"tcard lead\">\n          <div class=\"tcard-head\">\n            <div class=\"tc-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M12 12m-2 0a2 2 0 1 0 4 0a2 2 0 1 0-4 0M6 8a6 6 0 0 0 0 8M18 8a6 6 0 0 1 0 8M3 5a10 10 0 0 0 0 14M21 5a10 10 0 0 1 0 14\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n            <div><h3>FMCW Radar<\/h3><div class=\"tc-sub\">Frequency-modulated continuous wave<\/div><\/div>\n          <\/div>\n          <p class=\"tcard-desc\">Emits radio waves and measures the reflected signal to detect presence, distance, speed and direction without capturing personal images.<\/p>\n          <div class=\"tcard-rows\">\n            <div class=\"tcard-row fit\"><span class=\"tr-lab\">Best for<\/span><span>24\/7 counting, speed and direction with no civil works or cameras.<\/span><\/div>\n            <div class=\"tcard-row pro\"><span class=\"tr-lab\">Benefits<\/span><span>Day\/night, robust in rain or fog, low maintenance.<\/span><\/div>\n            <div class=\"tcard-row con\"><span class=\"tr-lab\">Limits<\/span><span>Sensitive to geometry, occlusions and sensor position.<\/span><\/div>\n          <\/div>\n        <\/article>\n\n        <article class=\"tcard\">\n          <div class=\"tcard-head\">\n            <div class=\"tc-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M23 7l-7 5 7 5V7z\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><rect x=\"1\" y=\"5\" width=\"15\" height=\"14\" rx=\"2\"\/><\/svg><\/div>\n            <div><h3>AI cameras<\/h3><div class=\"tc-sub\">Video analytics<\/div><\/div>\n          <\/div>\n          <p class=\"tcard-desc\">Process images to detect and classify vehicles, with licence-plate reading depending on the system.<\/p>\n          <div class=\"tcard-rows\">\n            <div class=\"tcard-row fit\"><span class=\"tr-lab\">Best for<\/span><span>When visual detail or licence plates (LPR) are needed.<\/span><\/div>\n            <div class=\"tcard-row pro\"><span class=\"tr-lab\">Benefits<\/span><span>Detailed classification and visual verification of events.<\/span><\/div>\n            <div class=\"tcard-row con\"><span class=\"tr-lab\">Limits<\/span><span>Performance affected by lighting, optics and weather depending on the system; they involve image processing.<\/span><\/div>\n          <\/div>\n        <\/article>\n\n        <article class=\"tcard muted\">\n          <div class=\"tcard-head\">\n            <div class=\"tc-ic\"><svg viewbox=\"0 0 24 24\"><rect x=\"3\" y=\"8\" width=\"18\" height=\"8\" rx=\"4\"\/><path d=\"M3 12h18\" stroke-linecap=\"round\"\/><\/svg><\/div>\n            <div><h3>Inductive loops<\/h3><div class=\"tc-sub\">In-road coils<\/div><\/div>\n          <\/div>\n          <p class=\"tcard-desc\">Coils embedded in the pavement that detect a vehicle\u2019s metallic mass as it passes.<\/p>\n          <div class=\"tcard-rows\">\n            <div class=\"tcard-row fit\"><span class=\"tr-lab\">Best for<\/span><span>Permanent installations at defined fixed points.<\/span><\/div>\n            <div class=\"tcard-row pro\"><span class=\"tr-lab\">Benefits<\/span><span>Requires civil works and replacement; traffic disruption.<\/span><\/div>\n            <div class=\"tcard-row con\"><span class=\"tr-lab\">Limits<\/span><span>Requires civil works and resurfacing; road closure.<\/span><\/div>\n          <\/div>\n        <\/article>\n\n        <article class=\"tcard muted\">\n          <div class=\"tcard-head\">\n            <div class=\"tc-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 12h18M5 12a3 3 0 0 1 0-6M19 12a3 3 0 0 0 0 6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n            <div><h3>Pneumatic tubes<\/h3><div class=\"tc-sub\">Temporary counts<\/div><\/div>\n          <\/div>\n          <p class=\"tcard-desc\">Tubes across the road that record axle passes via air pulses.<\/p>\n          <div class=\"tcard-rows\">\n            <div class=\"tcard-row fit\"><span class=\"tr-lab\">Best for<\/span><span>Temporary studies and short-duration survey campaigns.<\/span><\/div>\n            <div class=\"tcard-row pro\"><span class=\"tr-lab\">Benefits<\/span><span>Fast deployment and low cost for one-off measurements.<\/span><\/div>\n            <div class=\"tcard-row con\"><span class=\"tr-lab\">Limits<\/span><span>Wear and tear; ill-suited to dense or permanent traffic.<\/span><\/div>\n          <\/div>\n        <\/article>\n\n        <article class=\"tcard muted\">\n          <div class=\"tcard-head\">\n            <div class=\"tc-ic\"><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"8\" r=\"4\"\/><path d=\"M4 21a8 8 0 0 1 16 0\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n            <div><h3>Manual counting<\/h3><div class=\"tc-sub\">Operator counting<\/div><\/div>\n          <\/div>\n          <p class=\"tcard-desc\">Staff who count and classify vehicles visually, on site or from video.<\/p>\n          <div class=\"tcard-rows\">\n            <div class=\"tcard-row fit\"><span class=\"tr-lab\">Best for<\/span><span>Very specific studies or spot validation of data.<\/span><\/div>\n            <div class=\"tcard-row pro\"><span class=\"tr-lab\">Benefits<\/span><span>Human judgement for complex or unusual classifications.<\/span><\/div>\n            <div class=\"tcard-row con\"><span class=\"tr-lab\">Limits<\/span><span>Not continuous, labour cost and possible fatigue.<\/span><\/div>\n          <\/div>\n        <\/article>\n\n        <article class=\"tcard muted\">\n          <div class=\"tcard-head\">\n            <div class=\"tc-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 12.55a11 11 0 0 1 14 0M2 8.82a16 16 0 0 1 20 0M8.5 16.43a6 6 0 0 1 7 0M12 20h.01\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n            <div><h3>Bluetooth \/ WiFi<\/h3><div class=\"tc-sub\">Signal detection<\/div><\/div>\n          <\/div>\n          <p class=\"tcard-desc\">Detect on-board devices to estimate flows and travel times. It is a <strong>complementary technology<\/strong>, not direct counting and classification.<\/p>\n          <div class=\"tcard-rows\">\n            <div class=\"tcard-row fit\"><span class=\"tr-lab\">Best for<\/span><span>Travel times and origin-destination matrices.<\/span><\/div>\n            <div class=\"tcard-row pro\"><span class=\"tr-lab\">Benefits<\/span><span>Useful for network-level mobility studies.<\/span><\/div>\n            <div class=\"tcard-row con\"><span class=\"tr-lab\">Limits<\/span><span>Complementary technology: estimates flows, does not perform exhaustive counting or direct classification.<\/span><\/div>\n          <\/div>\n        <\/article>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- TABLA COMPARATIVA -->\n  <section id=\"comparativa\" class=\"compare\">\n    <div class=\"wrap\">\n      <div class=\"section-title-wrap center\">\n        <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 5h18M3 12h18M3 19h12\" stroke-linecap=\"round\"\/><\/svg>Comparison<\/span>\n        <h2>Comparison table of vehicle counting technologies<\/h2>\n        <p class=\"s-lead\">A guide overview placing each technology by its best use, strengths, limitations, privacy and installation.<\/p>\n      <\/div>\n      <div class=\"compare-wrap\">\n        <table class=\"compare-table\">\n          <thead>\n            <tr>\n              <th>Technology<\/th>\n              <th>Best use<\/th>\n              <th>Benefits<\/th>\n              <th>Limitations<\/th>\n              <th>Privacy<\/th>\n              <th>Installation<\/th>\n            <\/tr>\n          <\/thead>\n          <tbody>\n            <tr class=\"lead-row\">\n              <td>FMCW Radar<\/td>\n              <td>Continuous counting with speed and direction<\/td>\n              <td>Day\/night, weather-robust, low maintenance<\/td>\n              <td>Sensitive to geometry and occlusions<\/td>\n              <td class=\"priv-yes\">No personal image<\/td>\n              <td>Non-invasive, no civil works<\/td>\n            <\/tr>\n            <tr>\n              <td>Cameras<\/td>\n              <td>Visual classification and license plate<\/td>\n              <td>Rich data, visual verification<\/td>\n              <td>Affected by lighting, optics and weather depending on the system<\/td>\n              <td class=\"priv-no\">Captures images<\/td>\n              <td>Medium, requires calibration<\/td>\n            <\/tr>\n            <tr>\n              <td>Inductive loops<\/td>\n              <td>Permanent counting at a fixed point<\/td>\n              <td>Mature and reliable per lane<\/td>\n              <td>Civil works and resurfacing<\/td>\n              <td class=\"priv-yes\">No image capture<\/td>\n              <td>Invasive (road opened)<\/td>\n            <\/tr>\n            <tr>\n              <td>Pneumatic tubes<\/td>\n              <td>Temporary survey campaigns<\/td>\n              <td>Fast and low-cost<\/td>\n              <td>Wear; not for dense traffic<\/td>\n              <td class=\"priv-yes\">No image capture<\/td>\n              <td>Temporary on the road<\/td>\n            <\/tr>\n            <tr>\n              <td>Manual counting<\/td>\n              <td>One-off studies \/ validation<\/td>\n              <td>Flexible human judgement<\/td>\n              <td>Not continuous, staff cost<\/td>\n              <td class=\"priv-yes\">No automatic recording<\/td>\n              <td>No fixed installation<\/td>\n            <\/tr>\n            <tr>\n              <td>Bluetooth \/ WiFi<\/td>\n              <td>Travel times and O-D<\/td>\n              <td>Network-level view, easy to deploy<\/td>\n              <td>Complementary: does not count or classify exhaustively<\/td>\n              <td class=\"priv-mid\">Subject to minimisation and pseudonymisation<\/td>\n              <td>Simple, on existing infrastructure<\/td>\n            <\/tr>\n          <\/tbody>\n        <\/table>\n      <\/div>\n      <p class=\"compare-caption\">Guide table: the real performance of each technology depends on the manufacturer, model, configuration and conditions at the measurement point. Field validation of the data is recommended.<\/p>\n    <\/div>\n  <\/section>\n\n  <!-- CU\u00c1NDO RADAR -->\n  <section id=\"cuando-radar\" class=\"radar-fit\">\n    <div class=\"wrap rf-inner\">\n      <div>\n        <div class=\"section-title-wrap\" style=\"margin-bottom:22px\">\n          <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"12\" r=\"3\"\/><path d=\"M12 2v3M12 19v3M2 12h3M19 12h3\" stroke-linecap=\"round\"\/><\/svg>When to use<\/span>\n          <h2>When does radar make sense?<\/h2>\n          <p class=\"s-lead\">Radar can be especially useful where continuity, privacy and non-invasive installation are priorities.<\/p>\n        <\/div>\n        <ul class=\"rf-list\">\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Continuous 24\/7 counting<\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Cameras are not wanted<\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Reducing personal image processing<\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Measuring speed and direction<\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Avoiding invasive civil works<\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Day and night operation<\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Smart City or ITS projects<\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Integration with external platforms<\/li>\n        <\/ul>\n      <\/div>\n      <aside class=\"rf-callout\">\n        <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><path d=\"M13 2L3 14h7l-1 8 10-12h-7l1-8z\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Related solution<\/span>\n        <h3>A radar alternative for these scenarios<\/h3>\n        <p>In scenarios like these, a <strong>radar solution such as uRAD Smart Traffic<\/strong> can be a suitable option for counting, classification, speed and integration with mobility platforms, with no cameras or civil works.<\/p>\n        <a class=\"btn btn-primary\" href=\"https:\/\/urad.es\/en\/soluciones-cerradas\/urad-smart-traffic\/\">See the camera-free counting sensor \u2192<\/a>\n      <\/aside>\n    <\/div>\n  <\/section>\n\n  <!-- VISUAL 3: RADAR VS C\u00c1MARA -->\n  <section class=\"vis\" aria-label=\"Diferencia entre conteo por radar y por c\u00e1mara\">\n    <div class=\"wrap vis-narrow\">\n      <div class=\"section-title-wrap center\">\n        <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 5h18M3 12h18M3 19h12\" stroke-linecap=\"round\"\/><\/svg>Radar and camera<\/span>\n        <h2>Radar and camera don\u2019t solve exactly the same problem<\/h2>\n      <\/div>\n      <div class=\"rvc\">\n        <div class=\"rvc-col radar\">\n          <div class=\"rvc-h\"><div class=\"rh-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M12 12m-2 0a2 2 0 1 0 4 0a2 2 0 1 0-4 0M6 8a6 6 0 0 0 0 8M18 8a6 6 0 0 1 0 8M3 5a10 10 0 0 0 0 14M21 5a10 10 0 0 1 0 14\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div><h3>Radar<\/h3><\/div>\n          <ul>\n            <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Detects presence, distance, speed and direction.<\/li>\n            <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Generates no personal imagery.<\/li>\n            <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Works day and night.<\/li>\n            <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Depends on geometry and sensor position.<\/li>\n          <\/ul>\n        <\/div>\n        <div class=\"rvc-mid\">vs<\/div>\n        <div class=\"rvc-col cam\">\n          <div class=\"rvc-h\"><div class=\"rh-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M23 7l-7 5 7 5V7z\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><rect x=\"1\" y=\"5\" width=\"15\" height=\"14\" rx=\"2\"\/><\/svg><\/div><h3>Camera<\/h3><\/div>\n          <ul>\n            <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 12h14\" stroke-linecap=\"round\"\/><\/svg>Captures images for visual analytics.<\/li>\n            <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 12h14\" stroke-linecap=\"round\"\/><\/svg>Can verify events or read licence plates.<\/li>\n            <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 12h14\" stroke-linecap=\"round\"\/><\/svg>Depends on light, weather and image processing.<\/li>\n            <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 12h14\" stroke-linecap=\"round\"\/><\/svg>Useful when imagery is required.<\/li>\n          <\/ul>\n        <\/div>\n      <\/div>\n      <p class=\"vis-cap\">If the project needs <strong>visual identification or licence plates<\/strong>, a camera may be right. If the goal is <strong>counting, speed and direction without capturing images<\/strong>, radar is usually an option worth considering.<\/p>\n    <\/div>\n  <\/section>\n\n  <!-- PRIVACIDAD -->\n  <section id=\"privacidad\" class=\"privacy\">\n    <div class=\"wrap privacy-inner\">\n      <div class=\"privacy-shield\" aria-hidden=\"true\">\n        <div class=\"ps-circle\">\n          <div class=\"ps-core\"><svg viewbox=\"0 0 24 24\"><path d=\"M12 2L4 6v6c0 5 4 9 8 10 4-1 8-5 8-10V6z\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><path d=\"M9 12l2 2 4-4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n        <\/div>\n      <\/div>\n      <div>\n        <div class=\"section-title-wrap\" style=\"margin-bottom:14px\">\n          <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><path d=\"M12 2L4 6v6c0 5 4 9 8 10 4-1 8-5 8-10V6z\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Privacy<\/span>\n          <h2>Privacy and camera-free counting<\/h2>\n        <\/div>\n        <p>In urban projects, image processing can be a relevant factor. Technologies that capture no images, such as radar, present a different privacy profile from video-based solutions.<\/p>\n        <ul class=\"privacy-list\">\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><span><strong>No capture of personal images<\/strong> of pedestrians, drivers or licence plates.<\/span><\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><span><strong>Lower exposure to identifiable data<\/strong> compared with video systems.<\/span><\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><span>Can <strong>simplify some deployment scenarios<\/strong> in sensitive areas.<\/span><\/li>\n          <li><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><span>Can <strong>reduce friction<\/strong> in urban settings with public sensitivity.<\/span><\/li>\n        <\/ul>\n        <p class=\"privacy-disc\">Compliance always depends on the applicable regulation, on how data is processed and on the specific configuration of each project. This page does not constitute legal advice.<\/p>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- CRITERIOS -->\n  <section id=\"criterios\" class=\"criterios\">\n    <div class=\"wrap\">\n      <div class=\"section-title-wrap center\">\n        <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><path d=\"M9 11l3 3L22 4M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Selection criteria<\/span>\n        <h2>What to define before choosing a system<\/h2>\n        <p class=\"s-lead\">This checklist helps scope the project and prepare a feasibility enquiry or quote request.<\/p>\n      <\/div>\n      <div class=\"crit-grid\">\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span><b>Deployment:<\/b> temporary or permanent<\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span><b>Number of lanes<\/b> to cover<\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span><b>Directions<\/b> of travel<\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span>Need for <b>classification<\/b><\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span>Need for <b>speed<\/b><\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span>Whether v <b>civil works are allowed<\/b><\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span>Privacy <b>requirements<\/b><\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span><b>Power<\/b> supply<\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span><b>Connectivity<\/b> on site<\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span><b>ITS or municipal<\/b> integration<\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span><b>Environmental conditions<\/b><\/span><\/div>\n        <div class=\"crit\"><span class=\"c-check\"><svg viewbox=\"0 0 24 24\"><path d=\"M5 13l4 4L19 7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><span><b>Accuracy<\/b> accuracy and <b>maintenance<\/b><\/span><\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- LIMITACIONES -->\n  <section id=\"limitaciones\" class=\"limites\">\n    <div class=\"wrap\">\n      <div class=\"section-title-wrap\">\n        <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><path d=\"M10.3 3.3a2 2 0 0 1 3.4 0l8 14A2 2 0 0 1 20 20H4a2 2 0 0 1-1.7-2.7z\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><path d=\"M12 9v4M12 17h.01\" stroke-linecap=\"round\"\/><\/svg>Limits and installation factors<\/span>\n        <h2>Limitations and factors affecting accuracy<\/h2>\n        <p class=\"s-lead\">No system is perfect in every scenario. Knowing these factors helps plan realistic deployments and interpret the data well.<\/p>\n      <\/div>\n      <h3 style=\"font-family:var(--display);font-size:20px;color:var(--ink);font-weight:700;margin-bottom:14px\">Why installation shapes accuracy<\/h3>\n      <div class=\"install-scene\" role=\"img\" aria-label=\"Factores de instalaci\u00f3n que afectan a la precisi\u00f3n de un sensor de conteo de veh\u00edculos\">\n        <svg viewbox=\"0 0 760 280\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n          <defs>\n            <lineargradient id=\"cgsky\" x1=\"0\" y1=\"0\" x2=\"0\" y2=\"1\"><stop offset=\"0\" stop-color=\"#f1f7f9\"\/><stop offset=\"1\" stop-color=\"#fbfdfe\"\/><\/lineargradient>\n            <lineargradient id=\"cgbeam\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" stop-color=\"rgba(73,166,191,.35)\"\/><stop offset=\"1\" stop-color=\"rgba(73,166,191,.02)\"\/><\/lineargradient>\n          <\/defs>\n          <rect x=\"0\" y=\"0\" width=\"760\" height=\"280\" fill=\"url(#cgsky)\"\/>\n          <!-- road -->\n          <rect x=\"0\" y=\"212\" width=\"760\" height=\"68\" fill=\"#e7edf1\"\/>\n          <line x1=\"0\" y1=\"212\" x2=\"760\" y2=\"212\" stroke=\"#cbd5e1\" stroke-width=\"2\"\/>\n          <line x1=\"40\" y1=\"246\" x2=\"120\" y2=\"246\" stroke=\"#fff\" stroke-width=\"3\"\/><line x1=\"180\" y1=\"246\" x2=\"260\" y2=\"246\" stroke=\"#fff\" stroke-width=\"3\"\/><line x1=\"320\" y1=\"246\" x2=\"400\" y2=\"246\" stroke=\"#fff\" stroke-width=\"3\"\/><line x1=\"460\" y1=\"246\" x2=\"540\" y2=\"246\" stroke=\"#fff\" stroke-width=\"3\"\/><line x1=\"600\" y1=\"246\" x2=\"680\" y2=\"246\" stroke=\"#fff\" stroke-width=\"3\"\/>\n          <!-- pole + sensor -->\n          <rect x=\"96\" y=\"66\" width=\"8\" height=\"150\" rx=\"3\" fill=\"#94a3b8\"\/>\n          <rect x=\"96\" y=\"60\" width=\"120\" height=\"8\" rx=\"4\" fill=\"#94a3b8\"\/>\n          <rect x=\"196\" y=\"54\" width=\"34\" height=\"24\" rx=\"5\" fill=\"#1e8fa9\"\/>\n          <text x=\"213\" y=\"46\" font-family=\"monospace\" font-size=\"11\" font-weight=\"700\" fill=\"#1e8fa9\" text-anchor=\"middle\">sensor<\/text>\n          <!-- height marker -->\n          <line x1=\"70\" y1=\"66\" x2=\"70\" y2=\"212\" stroke=\"#49a6bf\" stroke-width=\"1.5\" stroke-dasharray=\"4 4\"\/>\n          <text x=\"60\" y=\"145\" font-family=\"monospace\" font-size=\"11\" font-weight=\"700\" fill=\"#1e8fa9\" text-anchor=\"middle\" transform=\"rotate(-90 60 145)\">altura<\/text>\n          <!-- detection beam -->\n          <path d=\"M213 78 L470 212 L690 212 L213 78 Z\" fill=\"url(#cgbeam)\" stroke=\"rgba(73,166,191,.4)\" stroke-width=\"1.5\"\/>\n          <text x=\"500\" y=\"150\" font-family=\"monospace\" font-size=\"11\" font-weight=\"700\" fill=\"#1e8fa9\">zona de detecci\u00f3n<\/text>\n          <!-- angle arc -->\n          <path d=\"M213 110 A 40 40 0 0 1 248 96\" fill=\"none\" stroke=\"#1e8fa9\" stroke-width=\"1.5\"\/>\n          <text x=\"250\" y=\"104\" font-family=\"monospace\" font-size=\"10\" font-weight=\"700\" fill=\"#1e8fa9\">\u00e1ngulo<\/text>\n          <!-- vehicles -->\n          <g transform=\"translate(360 196)\"><rect x=\"0\" y=\"0\" width=\"58\" height=\"22\" rx=\"5\" fill=\"#475569\"\/><rect x=\"10\" y=\"-10\" width=\"34\" height=\"14\" rx=\"4\" fill=\"#64748b\"\/><circle cx=\"14\" cy=\"24\" r=\"5\" fill=\"#0f172a\"\/><circle cx=\"46\" cy=\"24\" r=\"5\" fill=\"#0f172a\"\/><\/g>\n          <g transform=\"translate(560 192)\"><rect x=\"0\" y=\"0\" width=\"74\" height=\"26\" rx=\"5\" fill=\"#cbd5e1\"\/><circle cx=\"16\" cy=\"28\" r=\"5\" fill=\"#0f172a\"\/><circle cx=\"58\" cy=\"28\" r=\"5\" fill=\"#0f172a\"\/><text x=\"37\" y=\"17\" font-family=\"monospace\" font-size=\"9\" font-weight=\"700\" fill=\"#64748b\" text-anchor=\"middle\">oclusi\u00f3n<\/text><\/g>\n          <!-- lane labels -->\n          <text x=\"30\" y=\"232\" font-family=\"monospace\" font-size=\"10\" fill=\"#64748b\">carril 1 \u25ba<\/text>\n          <text x=\"30\" y=\"268\" font-family=\"monospace\" font-size=\"10\" fill=\"#64748b\">carril 2 \u25ba<\/text>\n        <\/svg>\n      <\/div>\n      <div class=\"install-legend\">\n        <span><i style=\"background:#1e8fa9\"><\/i>Height &amp; angle<\/span>\n        <span><i style=\"background:#49a6bf\"><\/i>Detection zone<\/span>\n        <span><i style=\"background:#94a3b8\"><\/i>Lanes &amp; direction<\/span>\n        <span><i style=\"background:#cbd5e1\"><\/i>Occlusions<\/span>\n      <\/div>\n      <p class=\"vis-cap\" style=\"margin-top:18px\">Accuracy <strong>does not depend on the technology alone<\/strong>. Sensor position, road geometry, lane spacing and occlusions all affect the result.<\/p>\n\n      <div class=\"lim-grid\">\n        <article class=\"lim\"><h3>Sensor position and height<\/h3><p>Poor mounting affects the covered area and lane separation.<\/p><\/article>\n        <article class=\"lim\"><h3>Road geometry<\/h3><p>Curves, gradients and width shape detection and classification.<\/p><\/article>\n        <article class=\"lim\"><h3>Very dense traffic<\/h3><p>Congestion can make it harder to separate vehicles close together.<\/p><\/article>\n        <article class=\"lim\"><h3>Occlusions<\/h3><p>Large vehicles can hide smaller ones behind them.<\/p><\/article>\n        <article class=\"lim\"><h3>Static objects<\/h3><p>Street furniture or parked vehicles can add noise to the signal.<\/p><\/article>\n        <article class=\"lim\"><h3>Mount vibration<\/h3><p>Unstable masts or poles can affect measurement quality.<\/p><\/article>\n        <article class=\"lim\"><h3>Extreme weather<\/h3><p>Very adverse conditions can affect results to varying degrees by technology.<\/p><\/article>\n        <article class=\"lim\"><h3>Calibration needed<\/h3><p>Initial setup is key to ensuring the expected accuracy.<\/p><\/article>\n        <article class=\"lim\"><h3>Field data validation<\/h3><p>Results should be checked against reference measurements.<\/p><\/article>\n      <\/div>\n      <div class=\"lim-note\">\n        <div class=\"ln-ic\"><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M12 8h.01M11 12h1v4h1\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div>\n        <p>In practice, the real accuracy of any system <strong>requires field validation<\/strong> and depends on the configuration and the specific environment of the measurement point.<\/p>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- CASOS -->\n  <section id=\"casos\" class=\"casos\">\n    <div class=\"wrap\">\n      <div class=\"section-title-wrap center\">\n        <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"16\" rx=\"2\"\/><path d=\"M3 10h18\" stroke-linecap=\"round\"\/><\/svg>Use cases<\/span>\n        <h2>Where vehicle counting systems are used<\/h2>\n        <p class=\"s-lead\">Different contexts have different data needs; the right system depends on the goal of each project.<\/p>\n      <\/div>\n      <div class=\"casos-grid\">\n        <article class=\"caso\"><div class=\"caso-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 21V8l8-4v17M11 21V11l8 0v10M3 21h18M7 12h.01M7 16h.01\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div><h3>Local authorities<\/h3><p>Objective data to manage urban traffic and prioritise actions.<\/p><\/article>\n        <article class=\"caso\"><div class=\"caso-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M12 2v4M12 18v4M2 12h4M18 12h4\"\/><circle cx=\"12\" cy=\"12\" r=\"4\"\/><\/svg><\/div><h3>Smart Cities<\/h3><p>Counting integrated into urban platforms for data-driven decisions.<\/p><\/article>\n        <article class=\"caso\"><div class=\"caso-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M4 17h16M6 17l1-9h10l1 9M9 8V6a3 3 0 0 1 6 0v2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div><h3>Highways<\/h3><p>Characterising volumes and speeds on interurban roads.<\/p><\/article>\n        <article class=\"caso\"><div class=\"caso-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 21V9l6-3 6 3v12M15 21V13l6 0v8M3 21h18M6 12h.01M6 16h.01\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div><h3>Industrial areas<\/h3><p>Access control and heavy-vehicle monitoring in logistics.<\/p><\/article>\n        <article class=\"caso\"><div class=\"caso-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 17h2l1-5h12l1 5h2M6 12V8a2 2 0 0 1 2-2h8a2 2 0 0 1 2 2v4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><circle cx=\"7.5\" cy=\"17.5\" r=\"1.5\"\/><circle cx=\"16.5\" cy=\"17.5\" r=\"1.5\"\/><\/svg><\/div><h3>Logistics access<\/h3><p>Counting at entries and exits of high-turnover facilities.<\/p><\/article>\n        <article class=\"caso\"><div class=\"caso-ic\"><svg viewbox=\"0 0 24 24\"><circle cx=\"5.5\" cy=\"17.5\" r=\"3.5\"\/><circle cx=\"18.5\" cy=\"17.5\" r=\"3.5\"\/><path d=\"M15 17.5h-4l-3-6h8l-2 6M9 6h3l2 5.5M6 6h4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div><h3>Cycling infrastructure<\/h3><p>Counting bicycles and vulnerable users to size and assess bike lanes.<\/p><\/article>\n        <article class=\"caso\"><div class=\"caso-ic\"><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M12 7v5l4 2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div><h3>Temporary studies<\/h3><p>Mobility campaigns to measure the impact of an intervention.<\/p><\/article>\n        <article class=\"caso\"><div class=\"caso-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 3v18h18M7 14l4-4 3 3 5-6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/div><h3>Urban planning<\/h3><p>Evidence to size road infrastructure.<\/p><\/article>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- PUENTE A PRODUCTO -->\n  <section id=\"solucion-radar\" class=\"bridge\">\n    <div class=\"bridge-band\">\n      <div class=\"bridge-grid-bg\"><\/div>\n      <div class=\"bridge-inner\">\n        <div class=\"bridge-text\">\n          <span class=\"bridge-eyebrow\"><i><\/i>Next step<\/span>\n          <h2>From choosing a technology to <span class=\"hl\">a concrete solution<\/span><\/h2>\n          <p>If, after comparing technologies, you need <strong>continuous counting with no cameras and no civil works<\/strong>, a radar solution may fit. <a href=\"https:\/\/urad.es\/en\/soluciones-cerradas\/urad-smart-traffic\/\" style=\"color:#bdf0fc!important;text-decoration:underline!important\">uRAD Smart Traffic solution<\/a> brings together models, capabilities, technical documentation and integration for real projects.<\/p>\n          <ul class=\"bridge-feats\">\n            <li><span class=\"bf-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M3 3l18 18M10.6 5.1A9 9 0 0 1 21 12c-.4 1-.9 1.9-1.6 2.7M6.3 6.3A9 9 0 0 0 3 12a9 9 0 0 0 13.5 3.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><div class=\"bf-t\"><b>No cameras<\/b><span>Counting and classification with no personal imagery<\/span><\/div><\/li>\n            <li><span class=\"bf-ic\"><svg viewbox=\"0 0 24 24\"><path d=\"M4 20h16M6 20V9l6-4 6 4v11M9 20v-5h6v5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><div class=\"bf-t\"><b>No roadworks<\/b><span>Mounts on a mast or pole, no road excavation<\/span><\/div><\/li>\n            <li><span class=\"bf-ic\"><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M12 7v5l4 2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><div class=\"bf-t\"><b>24\/7<\/b><span>Day and night, stable in rain or fog<\/span><\/div><\/li>\n          <\/ul>\n          <div class=\"bridge-ctas\">\n            <a class=\"btn btn-primary\" href=\"https:\/\/urad.es\/en\/soluciones-cerradas\/urad-smart-traffic\/\">See the uRAD Smart Traffic solution<\/a>\n            <a class=\"btn btn-ghost\" href=\"#comparativa\">Compare radar vs cameras<\/a>\n          <\/div>\n        <\/div>\n        <div class=\"bridge-media\">\n          <span class=\"hero-corner tl\"><\/span>\n          <span class=\"hero-corner br\"><\/span>\n          <img decoding=\"async\" src=\"https:\/\/urad.es\/wp-content\/uploads\/2024\/02\/DSC08572-2-1.webp\" alt=\"Radar aforador uRAD Smart Traffic para conteo y clasificaci\u00f3n de veh\u00edculos\" width=\"800\" height=\"600\" loading=\"lazy\" \/>\n          <span class=\"bm-tag\">uRAD Smart Traffic traffic radar<\/span>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- FAQ -->\n  <section id=\"faq\" class=\"faq-section\">\n    <div class=\"wrap\">\n      <div class=\"section-title-wrap center\">\n        <span class=\"s-tag\"><svg viewbox=\"0 0 24 24\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M9.5 9a2.5 2.5 0 0 1 5 0c0 1.5-2 2-2 3.5M12 17h.01\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg>Frequently asked questions<\/span>\n        <h2>Frequently asked questions about vehicle counting and classification<\/h2>\n      <\/div>\n      <div class=\"faq-list\">\n        <details class=\"faq-item\"><summary>What is a vehicle counting and classification system?<\/summary><div class=\"faq-content\"><p>It is a combination of sensors and software that detects road users passing a point on the road, counts them and groups them by type (pedestrian, bicycle, light, heavy), and can add speed, direction and lane. The data is used for <strong>mobility planning, traffic management and smart city projects<\/strong>.<\/p><\/div><\/details>\n        <details class=\"faq-item\"><summary>What is the difference between vehicle counting and traffic surveying?<\/summary><div class=\"faq-content\"><p>Counting focuses on <strong>counting and classifying<\/strong> vehicles. Surveying is a broader concept that also includes analysing <strong>volumes (AADT), hourly patterns, occupancy and speed<\/strong> to characterise how the road behaves over time.<\/p><\/div><\/details>\n        <details class=\"faq-item\"><summary>What technologies are used for vehicle counting?<\/summary><div class=\"faq-content\"><p>The most common are <strong>FMCW radar, cameras with video analytics, inductive loops, pneumatic tubes, manual counting<\/strong> and Bluetooth\/WiFi sensors. Each offers a different trade-off between data, privacy, installation and maintenance.<\/p><\/div><\/details>\n        <details class=\"faq-item\"><summary>What advantages does radar have over a camera?<\/summary><div class=\"faq-content\"><p>The radar <strong>captures no personal images<\/strong>, works day and night and is more stable in rain or fog. Cameras add visual detail and licence plates, but involve image processing and depend on lighting. The choice depends on the project goal.<\/p><\/div><\/details>\n        <details class=\"faq-item\"><summary>Can a camera-free system classify vehicles?<\/summary><div class=\"faq-content\"><p>Yes. Technologies such as radar can <strong>classify by length or type<\/strong> (pedestrian, bicycle, light, heavy) without capturing personal images. The level of detail depends on the technology, the configuration and the conditions at the measurement point.<\/p><\/div><\/details>\n        <details class=\"faq-item\"><summary>What data can be obtained in a counting project?<\/summary><div class=\"faq-content\"><p>Depending on the technology: <strong>counting per lane, direction, speed, classification by type, annual average daily traffic, hourly patterns and occupancy<\/strong>, integrable into ITS, IoT or Smart City platforms.<\/p><\/div><\/details>\n        <details class=\"faq-item\"><summary>When is radar preferable to inductive loops?<\/summary><div class=\"faq-content\"><p>Radar tends to be preferable when you want to <strong>avoid civil works<\/strong>, measure speed and direction, work 24\/7 without depending on lighting and reduce maintenance. Loops require opening and replacing the road surface, though they remain valid for permanent installations.<\/p><\/div><\/details>\n        <details class=\"faq-item\"><summary>What factors affect counting accuracy?<\/summary><div class=\"faq-content\"><p>The <strong>sensor position and height, road geometry, dense traffic, occlusions, static objects, mount vibration<\/strong> and weather. That is why calibrating and validating the data in the field is recommended.<\/p><\/div><\/details>\n        <details class=\"faq-item\"><summary>Can the system integrate with Smart City platforms?<\/summary><div class=\"faq-content\"><p>Yes. Many systems offer standard outputs and protocols to integrate with <strong>ITS, IoT and Smart City platforms<\/strong>, allowing data to be centralised and used for traffic management and urban planning.<\/p><\/div><\/details>\n        <details class=\"faq-item\"><summary>What information do I need to request a technical assessment?<\/summary><div class=\"faq-content\"><p>It helps to define the <strong>type of deployment, number of lanes and directions, whether classification and speed are needed, whether civil works are allowed, privacy requirements, power and connectivity, desired integration and environmental conditions<\/strong>. With that you can <a href=\"https:\/\/urad.es\/en\/contacto\/\">check your project\u2019s feasibility<\/a>.<\/p><\/div><\/details>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- CTA FINAL -->\n  <section id=\"contacto\" class=\"cg-cta\">\n    <div class=\"cg-cta-band\">\n      <div class=\"cg-cta-grid-bg\"><\/div>\n      <div class=\"cg-cta-inner\">\n        <div class=\"cg-cta-media\">\n          <span class=\"hero-corner tl\"><\/span>\n          <span class=\"hero-corner br\"><\/span>\n          <img decoding=\"async\" src=\"https:\/\/urad.es\/wp-content\/uploads\/2023\/01\/SmartTraffic_16.jpg\" alt=\"Radar de tr\u00e1fico uRAD midiendo el flujo de veh\u00edculos en una v\u00eda urbana\" width=\"800\" height=\"600\" loading=\"lazy\" \/>\n          <span class=\"cm-tag\">Camera-free radar counting<\/span>\n        <\/div>\n        <div class=\"cg-cta-text\">\n          <span class=\"bridge-eyebrow\"><i><\/i>Next step<\/span>\n          <h2>Have a vehicle counting and <span class=\"hl\">classification project?<\/span><\/h2>\n          <p>Whether you want to compare technologies or assess a specific road, you can review the <strong>radar solution for vehicle counting<\/strong> or share your case so we can study its technical feasibility.<\/p>\n          <div class=\"cg-cta-ctas\">\n            <a class=\"btn btn-primary\" href=\"https:\/\/urad.es\/en\/soluciones-cerradas\/urad-smart-traffic\/\">See uRAD Smart Traffic<\/a>\n            <a class=\"btn btn-ghost\" href=\"https:\/\/urad.es\/en\/contacto\/\">Discuss your project<\/a>\n          <\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n<\/main>\n<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"Inicio Aplicaciones Conteo y clasificaci\u00f3n de veh\u00edculos Gu\u00eda t\u00e9cnica \u00b7 Movilidad &amp; ITS Sistemas de conteo y clasificaci\u00f3n de veh\u00edculos: gu\u00eda para elegir tecnolog\u00eda Compara radar, c\u00e1maras, lazos inductivos, tubos neum\u00e1ticos, Bluetooth\/WiFi y aforo manual seg\u00fan datos disponibles, instalaci\u00f3n, privacidad, mantenimiento e integraci\u00f3n. Comparar tecnolog\u00edas Ver criterios de elecci\u00f3n Gu\u00eda orientativa para proyectos de movilidad urbana, carreteras, zonas industriales y...","protected":false},"author":1,"featured_media":3143,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-full-width-padding.php","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-3338","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Conteo y clasificaci\u00f3n de veh\u00edculos | Gu\u00eda uRAD<\/title>\n<meta name=\"description\" content=\"Conteo y clasificaci\u00f3n de veh\u00edculos: compara radar, c\u00e1maras, lazos inductivos, tubos y aforo manual y elige la tecnolog\u00eda ideal para tu proyecto ITS.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/urad.es\/en\/aplicaciones\/sistemas-de-conteo-y-clasificacion-de-vehiculos\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Conteo y clasificaci\u00f3n de veh\u00edculos | Gu\u00eda uRAD\" \/>\n<meta property=\"og:description\" content=\"Conteo y clasificaci\u00f3n de veh\u00edculos: compara radar, c\u00e1maras, lazos inductivos, tubos y aforo manual y elige la tecnolog\u00eda ideal para tu proyecto ITS.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/urad.es\/en\/aplicaciones\/sistemas-de-conteo-y-clasificacion-de-vehiculos\/\" \/>\n<meta property=\"og:site_name\" content=\"uRAD - 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