{"id":260035,"date":"2022-09-07T07:44:18","date_gmt":"2022-09-07T07:44:18","guid":{"rendered":"https:\/\/www.ctengineeringgroup.com\/project\/ct-successfully-completes-the-digital-hbe-twin-project-a-smart-interaction-platform-for-buses-based-on-digital-twins-and-occupational-and-environmental-health-monitoring\/"},"modified":"2025-03-17T09:56:34","modified_gmt":"2025-03-17T09:56:34","slug":"plataforma-de-interaccion-inteligente-para-autobuses","status":"publish","type":"project","link":"https:\/\/www.ctengineeringgroup.com\/es\/project\/plataforma-de-interaccion-inteligente-para-autobuses\/","title":{"rendered":"CT concluye con \u00e9xito el proyecto Digital HBE Twin, una plataforma de interacci\u00f3n inteligente para autobuses basada en gemelo digital y monitorizaci\u00f3n de salud laboral y ambiental."},"content":{"rendered":"

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Medir la forma de moverse en las ciudades es un vector clave para conseguir una movilidad sostenible que beneficie tanto a pasajeros, como a trabajadores y al medio ambiental en general. En esta l\u00ednea, CT ha desarrollado durante el a\u00f1o 2022 el proyecto Digital Human<\/strong>\u2010<\/strong>Bus Environment Twin, <\/strong>una nueva soluci\u00f3n tecnol\u00f3gica para el control de la operaci\u00f3n de flotas de autobuses, <\/strong>que permite un mejor conocimiento sobre el transporte de pasajeros en ciudad de manera inmediata.<\/p>\n

Para ello, el equipo de CT ha llevado a cabo el despliegue de los gemelos digitales de los autobuses de la flota en un entorno virtual geo espec\u00edfico. El sistema desarrollado contempla la recogida de datos de telemetr\u00eda del autob\u00fas, la monitorizaci\u00f3n a distancia de la carga de trabajo de los conductores y las condiciones ambientales (CO2, temperatura y el uso de los asientos, entre otros). Esta informaci\u00f3n recogida en el demostrador del proyecto permite un mejor conocimiento sobre el transporte de pasajeros en ciudad de manera inmediata, gracias a la implementaci\u00f3n de tecnolog\u00edas como Big Data.<\/p>\n

\u00a0Algunas ventajas que puede ofrecer este sistema incluyen:<\/p>\n

    \n
  • Uso de datos sint\u00e9ticos para el entrenamiento de IA.\n
      \n
    • Predecir el consumo de los autobuses.<\/li>\n
    • Predecir desgaste de neum\u00e1ticos.<\/li>\n<\/ul>\n<\/li>\n
    • Optimizar rutas en funci\u00f3n de las condiciones de la ciudad.<\/li>\n
    • Crear Gemelos Digitales de movilidad urbana de forma \u00e1gil.<\/li>\n<\/ul>\n

      \u00a0La tecnolog\u00eda desarrollada permite el an\u00e1lisis de datos y operaci\u00f3n de flota empleando distintos escenarios virtuales. Los desarrollos efectuados servir\u00e1n de base para integrar futuras investigaciones y desarrollo en materia de movilidad urbana.<\/p>\n

      Sobre<\/em> <\/strong>Digital HBE Twin.<\/strong> <\/em><\/p>\n

      El proyecto con n\u00famero de expediente 2020\/0720\/00099966, ha sido concedido por Red.es y est\u00e1 cofinanciado a trav\u00e9s del Fondo Europeo de Desarrollo Regional (FEDER).<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n

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      Medir la forma de moverse en las ciudades es un vector clave para conseguir una movilidad sostenible que beneficie tanto a pasajeros, como a trabajadores y al medio ambiental en general. En esta l\u00ednea, CT ha desarrollado durante el a\u00f1o 2022 el proyecto Digital Human\u2010Bus Environment Twin, una nueva soluci\u00f3n tecnol\u00f3gica para el control de la operaci\u00f3n de flotas de autobuses, que permite un mejor conocimiento sobre el transporte de pasajeros en ciudad de manera inmediata. Para ello, el equipo de CT ha llevado a cabo el despliegue de los gemelos digitales de los autobuses de la flota en un entorno virtual geo espec\u00edfico. El sistema desarrollado contempla la recogida de datos de telemetr\u00eda del autob\u00fas, la monitorizaci\u00f3n a distancia de la carga de trabajo de los conductores y las condiciones ambientales (CO2, temperatura y el uso de los asientos, entre otros). Esta informaci\u00f3n recogida en el demostrador del proyecto permite un mejor conocimiento sobre el transporte de pasajeros en ciudad de manera inmediata, gracias a la implementaci\u00f3n de tecnolog\u00edas como Big Data. \u00a0Algunas ventajas que puede ofrecer este sistema incluyen: Uso de datos sint\u00e9ticos para el entrenamiento de IA. Predecir el consumo de los autobuses. Predecir desgaste de neum\u00e1ticos. […]<\/p>\n","protected":false},"author":1,"featured_media":251352,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"project_category":[219,196],"project_tag":[220],"class_list":["post-260035","project","type-project","status-publish","has-post-thumbnail","hentry","project_category-automotive-es","project_category-rd-es","project_tag-digital-transformation-es"],"yoast_head":"\nCT concluye con \u00e9xito el proyecto Digital HBE Twin<\/title>\n<meta name=\"description\" content=\"CT desarrolla Digital HBE Twin, una soluci\u00f3n para la monitorizaci\u00f3n de autobuses y la salud en la movilidad urbana.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ctengineeringgroup.com\/es\/project\/plataforma-de-interaccion-inteligente-para-autobuses\/\" \/>\n<meta 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