{"id":5025,"date":"2024-12-17T11:40:14","date_gmt":"2024-12-17T10:40:14","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/projects\/abertis\/"},"modified":"2025-10-14T13:53:59","modified_gmt":"2025-10-14T11:53:59","slug":"abertis","status":"publish","type":"proyecto","link":"https:\/\/www.mosaicfactor.com\/ca\/projects\/abertis\/","title":{"rendered":"Abertis"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.27.2″ custom_margin=”0px||||false|false” custom_padding=”0px||||false|false” locked=”off” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_row admin_label=”row” _builder_version=”4.27.2″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

Data Scouting<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” custom_margin=”||0em||false|false” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

Client<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=”fila-clientes” _builder_version=”4.27.2″ _module_preset=”default” width=”100%” custom_padding=”2em||2em||true|false” custom_css_free_form=”selector .et_pb_module{|| padding:0 1em;|| min-width:12%;||}” locked=”off” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.27.2″ _module_preset=”default” custom_css_main_element=”display:flex;||align-items:center;||flex-flow:wrap;;” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_image src=”https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/12\/logo-abertis-150x100px.webp” title_text=”logo-abertis-150x100px” url=”https:\/\/abertis.com\/” url_new_window=”on” _builder_version=”4.27.4″ _module_preset=”default” width=”200px” max_width=”200px” custom_css_main_element=”max-width:fit-content;” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”row” _builder_version=”4.27.2″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”100%” custom_padding=”2em||||false|false” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” custom_margin=”||0em||false|false” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

Partners<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=”fila-clientes” _builder_version=”4.27.2″ _module_preset=”default” width=”95%” custom_padding=”0em||0em||true|false” custom_css_free_form=”selector .et_pb_module{|| padding:0 1em;|| min-width:12%;||}” locked=”off” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.27.2″ _module_preset=”default” custom_css_main_element=”display:flex;||align-items:center;||flex-flow:wrap;;” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_image src=”https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/12\/logo-abertis-150x100px.webp” title_text=”logo-abertis-150x100px” url=”https:\/\/abertis.com\/” url_new_window=”on” _builder_version=”4.27.4″ _module_preset=”default” width=”200px” max_width=”200px” custom_css_main_element=”max-width:fit-content;” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_image src=”https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/10\/project-c32-behaviour-change-logo-autopistas.svg” title_text=”project-c32-behaviour-change-logo-autopistas” url=”https:\/\/www.autopistas.com\/” url_new_window=”on” _builder_version=”4.27.2″ _module_preset=”default” width=”480px” max_width=”480px” min_height=”60px” custom_css_main_element=”max-width:fit-content;” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”row” _builder_version=”4.27.2″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” custom_margin=”||1em||false|false” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

El problema<\/h2>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

El llan\u00e7ament de la iniciativa Future Roads Lab<\/strong> per part d\u2019Abertis<\/strong> arriba amb un conjunt d\u2019objectius orientats a avan\u00e7ar en els ecosistemes de mobilitat cooperativa, connectada i automatitzada (CCAM<\/strong>).<\/p>\n

    \n
  1. \n
      \n
    1. Obtenir una comprensi\u00f3 m\u00e9s profunda del paper dels operadors de carreteres dins dels ecosistemes CCAM<\/strong> i consolidar aquest coneixement.<\/li>\n
    2. Desenvolupar nous i innovadors serveis CCAM<\/strong>, que requeriran la col\u00b7laboraci\u00f3 amb prove\u00efdors clau.<\/li>\n
    3. Impulsar el progr\u00e9s i el creixement en l\u2019\u00e0mbit CCAM<\/strong>, contribuint finalment a sistemes de transport m\u00e9s segurs, eficients i sostenibles, mitjan\u00e7ant la col\u00b7laboraci\u00f3 amb aquests prove\u00efdors.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

      Per tant, la nostra soluci\u00f3 de Data Scouting<\/strong> hauria de:<\/p>\n

        \n
      1. \n
          \n
        1. Identificar prove\u00efdors:<\/strong> Mitjan\u00e7ant una recerca exhaustiva centrada en el sector de la mobilitat i el transport, identificar i elaborar perfils dels diferents prove\u00efdors de dades per als \u00e0mbits d\u2019actuaci\u00f3 i l\u00ednies de treball definides en el marc del Future Roads Lab<\/strong>. Aquesta revisi\u00f3 considera una \u00e0mplia gamma de possibles prove\u00efdors de dades i una varietat de tipus de dades, com ara dades de tr\u00e0nsit, dades meteorol\u00f2giques i dades ambientals.
          <\/strong><\/li>\n
        2. Establir contacte amb els prove\u00efdors adequats:<\/strong> Un cop identificats els possibles prove\u00efdors de dades, es realitza una an\u00e0lisi m\u00e9s detallada de les seves ofertes de dades i s\u2019avalua la seva capacitat per proporcionar dades precises i puntuals. Per a aix\u00f2, s\u2019estableixen canals de contacte amb prove\u00efdors i subministradors actius, i es sol\u00b7liciten detalls i informaci\u00f3 addicional sobre les dades ofertes, incloent-hi els models comercials i el servei postcontractual.
          <\/strong><\/li>\n
        3. Avaluar els serveis de dades:<\/strong> Per seleccionar els prove\u00efdors m\u00e9s adequats per al Future Roads Lab<\/strong>, es recopila informaci\u00f3 t\u00e8cnica i comercial sobre els serveis de dades oferts pels prove\u00efdors identificats, incloent-hi una inspecci\u00f3 preliminar de mostres de dades sol\u00b7licitades. Aquesta informaci\u00f3 s\u2019avalua per determinar la maduresa, la qualitat i el valor afegit de les ofertes. Un cop completada aquesta avaluaci\u00f3, les ofertes es classifiquen segons la seva rellev\u00e0ncia per al Future Roads Lab<\/strong>.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

          Per assolir aquests objectius, \u00e9s essencial identificar una varietat de prove\u00efdors de dades que ofereixin diferents tipus de dades rellevants per a les necessitats del Future Roads Lab<\/strong>, centrant-se en prove\u00efdors consolidats amb una traject\u00f2ria demostrada en el subministrament de dades fiables.<\/p>\n

          Aix\u00f2 pot incloure:<\/p>\n

            \n
          • \n
              \n
            • dades de tr\u00e0nsit,<\/li>\n
            • dades meteorol\u00f2giques,<\/li>\n
            • dades de la xarxa vi\u00e0ria,<\/li>\n
            • dades ambientals, entre d\u2019altres.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

              En \u00faltima inst\u00e0ncia, l\u2019objectiu \u00e9s identificar una llista de 20-30 prove\u00efdors de dades actius que siguin m\u00e9s rellevants per al Future Roads Lab<\/strong>.<\/p>\n

              Finalment, en col\u00b7laboraci\u00f3 amb Abertis<\/strong>, s\u2019han definit els seg\u00fcents casos d\u2019\u00fas de refer\u00e8ncia per ajudar a delimitar amb m\u00e9s claredat l\u2019abast d\u2019aquest exercici de recerca.<\/p>\n

               <\/p>\n

                \n
              • \n
                  \n
                • (UC1) Gesti\u00f3 avan\u00e7ada del tr\u00e0nsit<\/li>\n
                • (UC2) Seguretat vi\u00e0ria digital<\/li>\n
                • (UC3) Optimitzaci\u00f3 de la infraestructura vi\u00e0ria<\/li>\n
                • (UC4) Operaci\u00f3 i manteniment digitals<\/li>\n
                • (UC5) Sostenibilitat de les autopistes<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                  [\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” custom_margin=”||1em||false|false” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

                  La soluci\u00f3<\/h2>\n

                  [\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

                  Un proc\u00e9s complet i molt detallat de Data Scouting<\/strong> per identificar prove\u00efdors de dades rellevants per a la iniciativa Future Roads Lab<\/strong> d\u2019Abertis<\/strong> \u00e9s el principal resultat d\u2019aquest projecte.<\/p>\n

                  La metodologia de Data Scouting<\/strong> es mostra en la figura seg\u00fcent:<\/p>\n

                  [\/et_pb_text][et_pb_image src=”https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/11\/project-abertis-1.webp” title_text=”project-abertis-1″ _builder_version=”4.27.2″ _module_preset=”default” max_width=”1000px” module_alignment=”center” locked=”off” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

                    \n
                  • \n
                      \n
                    • Un informe va presentar les conclusions d\u2019un exercici de Data Scouting<\/strong> que tenia com a objectiu identificar prove\u00efdors de dades rellevants per a la iniciativa Future Roads Lab<\/strong> d\u2019Abertis<\/strong>. L\u2019exercici va implicar una \u00e0mplia recerca per elaborar perfils de prove\u00efdors potencials i avaluar les seves mostres de dades en cinc casos d\u2019\u00fas generals.<\/li>\n
                    • Un cop identificats i perfilats els prove\u00efdors potencials, es van contactar i entrevistar per verificar el seu inter\u00e8s a oferir serveis a Abertis<\/strong> i per afinar la informaci\u00f3 recopilada sobre les seves ofertes. Es va demanar als prove\u00efdors que compartissin informaci\u00f3 sobre les seves ofertes i mostres de dades, les quals van ser avaluades i inspeccionades per fer una an\u00e0lisi en profunditat.<\/li>\n
                    • L\u2019exercici de Data Scouting<\/strong> va identificar:\n
                        \n
                      • 50 prove\u00efdors de dades,<\/li>\n
                      • dels quals 24 es van considerar altament compatibles amb les \u00e0rees d\u2019aplicaci\u00f3 i els casos d\u2019\u00fas del Future Roads Lab<\/strong>.<\/li>\n<\/ul>\n<\/li>\n
                      • Aquests 24 prove\u00efdors van ser contactats i avaluats per comprendre com les seves ofertes podien aportar valor a Abertis<\/strong>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                        L\u2019informe tamb\u00e9 assenyala que els prove\u00efdors de dades identificats es van agrupar en cinc categories segons el tipus de dades que ofereixen. Les categories i els seus respectius prove\u00efdors estan documentats detalladament dins de l\u2019informe.<\/p>\n

                        En conjunt, l\u2019informe serveix com un relat complet de l\u2019exercici de Data Scouting<\/strong>, la seva metodologia i les seves conclusions. Proporciona una visi\u00f3 detallada del proc\u00e9s d\u2019identificaci\u00f3 de prove\u00efdors de dades rellevants per a la iniciativa Future Roads Lab<\/strong> d\u2019Abertis<\/strong>.<\/p>\n

                        [\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” locked=”off” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

                        Resultats<\/h2>\n

                        [\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” locked=”off” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

                        Els resultats del projecte consisteixen essencialment en l\u2019informe confidencial final de l\u2019exercici de Data Scouting<\/strong> lliurat a Abertis<\/strong>, amb el portafolis de dades dels prove\u00efdors, aix\u00ed com els fitxers de dades i altra informaci\u00f3 \u00fatil per assolir els principals objectius del projecte.<\/p>\n

                        Els resultats inclouen una avaluaci\u00f3 dels prove\u00efdors tenint en compte: el tipus de dades (Floating Car Data (FCD)<\/strong>, Connected Vehicle Data (CVD)<\/strong>, Mobile and Telecom Data (MTD)<\/strong>, ESG and emissions data (ESG)<\/strong> i Road Conditions Data (RCD)<\/strong>), la regi\u00f3, l\u2019experi\u00e8ncia, el valor afegit, l\u2019aplicabilitat, la qualitat, la fiabilitat, les condicions, la privacitat i el model de venda.<\/p>\n

                        Tamb\u00e9 s\u2019inclouen resultats de la inspecci\u00f3 de dades, tenint en compte la font de dades, el nivell d\u2019agregaci\u00f3, la lat\u00e8ncia de les dades, la riquesa informativa i l\u2019aplicabilitat de les dades, la qual cosa dona com a resultat una puntuaci\u00f3 global de qualitat de les dades.<\/p>\n

                        Finalment, hi ha fitxes espec\u00edfiques de prove\u00efdors de dades com aquesta:<\/p>\n

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