{"id":25611,"date":"2017-01-01T11:27:48","date_gmt":"2017-01-01T10:27:48","guid":{"rendered":"https:\/\/www.ita.es\/proyecto\/transforming-transport-tt\/"},"modified":"2025-03-21T14:29:54","modified_gmt":"2025-03-21T13:29:54","slug":"transforming-transport-tt","status":"publish","type":"proyecto","link":"https:\/\/www.ita.es\/en\/project\/transforming-transport-tt\/","title":{"rendered":"Transforming Transport (TT)"},"content":{"rendered":"\n<div class=\"wp-block-columns is-style-columns-margen is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading\" id=\"h-datos-generales-del-proyecto\">General project data<\/h2>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"890\" height=\"238\" src=\"https:\/\/www.ita.es\/wp-content\/uploads\/2019\/11\/logo-TT.png\" alt=\"\" class=\"wp-image-4222\" srcset=\"https:\/\/www.ita.es\/wp-content\/uploads\/2019\/11\/logo-TT.png 890w, https:\/\/www.ita.es\/wp-content\/uploads\/2019\/11\/logo-TT-300x80.png 300w, https:\/\/www.ita.es\/wp-content\/uploads\/2019\/11\/logo-TT-768x205.png 768w\" sizes=\"auto, (max-width: 890px) 100vw, 890px\" \/><\/figure><\/div>\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Description<\/strong>: Big Data applied to the transformation of the transportation and logistics sectors. H2020-ICT-2016-11.<\/li>\n\n\n\n<li><strong>File number:<\/strong> 731932.<\/li>\n\n\n\n<li><strong>Award date<\/strong>: 07\/26\/2016.<\/li>\n\n\n\n<li><strong>Dates of execution<\/strong>: 01\/01\/2017 30\/06\/2019.<\/li>\n\n\n\n<li><strong>Project website<\/strong>: <a href=\"http:\/\/www.transformingtransport.eu\">www.transformingtransport.eu<\/a>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-presentacion-y-objetivos\">Presentation and objectives<\/h2>\n\n\n\n<p>\nBig Data will have a profound economic and social impact on the \nmobility and logistics sector, which is one of the most \nused industries in the world, contributing to approximately 15% of GDP. \nBig Data is expected to generate a value of $500 billion at \nglobal level in the form of time and fuel savings and savings of 380\n megatons of CO2 in mobility and logistics.\n\nWith freight transport activities projected to \nincrease by 40% by 2030, the transformation of current \nmobility and logistics processes to be significantly more efficient will have \na profound impact. A 10% improvement in efficiency can lead to\n EU cost savings of 100 billion euros. Despite these\n promises, interestingly only 19% of EU mobility and \nlogistics companies employ Big Data-based solutions as part of \nvalue creation and business processes.\n\nThe TransformingTransport project will demonstrate in a realistic, \nmeasurable and replicable way the transformations that Big Data will bring to the \nmobility and logistics market. To this end, \nTransformingTransport validates the technical and economic feasibility of Big \nData to reshape transportation processes and services and to \nsignificantly increase operational efficiency, deliver an improved customer experience \nand foster new business models.\n\nTransformingTransport will address seven pilot fields of major \nimportance for the mobility and logistics sector in Europe: (1)\n Smart Highways, (2) Sustainable Vehicle Fleet, (3) \nProactive Rail Infrastructures, (4) Ports as Smart Logistics Hubs \n, (5) Efficient Air Transport, (6) Multimodal Urban \nMobility, (7) Dynamic Supply Chains.\n\n\nThe TransformingTransport consortium combines the know-how and \nsolutions of Europe&#8217;s leading IT and technology providers, together with the expertise and experience \nof Europe&#8217;s leading industry players in the field of \nmobility and logistics.\n\nTransformingTransport will pursue the following main objectives:\n<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Objective O1 &#8220;Piloting&#8221;<\/strong>: Execute effective large-scale \npiloting and specific demonstrations of the \ntransformative character that existing and very close \nto market Big Data technologies can bring about in the mobility and logistics sector, \ncovering all relevant transportation modes. As well as multi-modal and transversal \nprocesses with strong impact and relevance of \nBig Data solutions. <\/li>\n\n\n\n<li><strong>Objective O2 &#8220;Value&#8221;<\/strong>: Show concrete, \nmeasurable and demonstrable evidence of the value of the data that can be achieved at \nmobility and logistics in terms of significant increase in (i) \noperational efficiency of processes and services by at least 15%, (ii) \ncustomer experience, and (iii) new business models for the \nmobility and logistics sector.<\/li>\n\n\n\n<li><strong>Objective O3 &#8220;Reusability&#8221;<\/strong>: Demonstrate the \ngeneric nature of Big Data solutions developed by \nTransformingTransport, showing how they can be reused (including \nwith adaptation) and replicated across use cases and domains of \napplication.<\/li>\n\n\n\n<li><strong>Objective O4 &#8220;Scalability&#8221;<\/strong>: Ensure that the \nBig Data solutions developed in TransformingTransport will operate at\n the scale of the envisioned mobility and logistics processes, as well as \nthe volume and velocity of data by the end of the \nTransformingTransport project, meaning more than 55,000 GB , More than 25 GB \/\n day and more than 20 different data sources on average per pilot by\n the year 2020.<\/li>\n\n\n\n<li><strong>Objective O5 &#8220;Engagement&#8221;<\/strong>: involve at least 120\n key European industry players, both large and SMEs, as well \nas Big Data providers and Big Data users, and relevant public \nbodies in sector trials and demonstrations of \nTransformingTransport.<\/li>\n\n\n\n<li><strong>Objective O6 &#8220;Transfer&#8221;<\/strong>: Implement the \neffective knowledge transfer, dissemination and leveraging of \nlessons learned and best practice examples, as well as \nstandardization and policy recommendations to facilitate the \ndoubling of the use of Big Data solutions in the mobility sector and \nlogistics from the current 19% To at least 38%.<\/li>\n\n\n\n<li><strong>Objective O7 &#8220;Market Impact&#8221;<\/strong>: Strengthen \nboth the position of EU big data providers and \nsectorial companies to participate in offers and opportunities for \nbusiness in the mobility and logistics market, combining \nsectorial and domain expertise with ICT knowledge. \n market share of up to 600% (72% on average) and\/or absolute \nmarket share of up to 12%. <\/li>\n\n\n\n<li><strong>Objective O8 &#8220;Sustainability&#8221;<\/strong>: Establish a robust \nplan for sustainability actions to ensure the \navailability and lasting impact of \nTransformingTransport results during the \nBig Data Value PPP funding period and beyond.<\/li>\n\n\n\n<li><strong>Objective O9 &#8220;Mobilization&#8221;<\/strong>: Mobilize a verifiable \ncommitment with additional industry investments in data assets\n and big data technologies, reaching a \nleverage factor of at least 6 times the EC contribution.<\/li>\n<\/ul>\n\n\n\n<p>\nITAINNOVA participates in the use case &#8220;Shared Logistics for the \nE-Commerce&#8221; (Supply network sector), whose specific objectives \nare:\n<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Investigate and suggest shared logistics scenarios on \ne-commerce, taking into account data from various \nsupply chain stakeholders (e.g. \ne-commerce retailers, 3PL) to reduce cost and environmental burden and \nincrease customer satisfaction and convenience with respect to \ne-commerce deliveries.<\/li>\n\n\n\n<li>Expand the concept of shared logistics by \nincorporating aspects of replenishment and realizing a synergistic \ninventory management strategy to increase the level of\n service, increase the accuracy of future estimates of \ndemand and decrease the requirement for additional vehicle routes (not \npre-recorded).<\/li>\n\n\n\n<li>Provide alternative shipping methods to the consumer to \nincrease customer satisfaction and offer lower prices.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-entidades-participantes\">Participating entities<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>RAILWAY INFRASTRUCTURE MANAGER (as project leader). Spain.<\/li>\n\n\n\n<li>AEGEAN AIRLINES AE. Greece.<\/li>\n\n\n\n<li>DIETHNIS AEROLIMENAS ATHINON AE. Greece.<\/li>\n\n\n\n<li>AIRPORT GURUS SL. Spain.<\/li>\n\n\n\n<li>ANSWARETECH SL. Spain.<\/li>\n\n\n\n<li>ATOS SPAIN SA. Spain.<\/li>\n\n\n\n<li>ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS &#8211; RESEARCH CENTER. Greece.<\/li>\n\n\n\n<li>AUTOAID GMBH. Germany.<\/li>\n\n\n\n<li>BOEING RESEARCH &amp; TECHNOLOGY EUROPE S.L.U. Spain.<\/li>\n\n\n\n<li>CARTIF. Spain.<\/li>\n\n\n\n<li>CEFRIEL &#8211; SOCIETA CONSORTILE A RESPONSABILITA LIMITATA. Italy.<\/li>\n\n\n\n<li>SMART INFRASTRUCTURE INNOVATION CENTER. Spain.<\/li>\n\n\n\n<li>CINTRA SERVICIOS DE INFRAESTRUCTURAS SA. Spain.<\/li>\n\n\n\n<li>TAMPEREEN KAUPUNKI. Finland.<\/li>\n\n\n\n<li>DUISBURGER HAFEN AKTIENGESELLSCHAFT. Germany.<\/li>\n\n\n\n<li>FERROVIAL AGROMAN SA. Spain.<\/li>\n\n\n\n<li>VALENCIAPORT FOUNDATION OF THE VALENCIAN COMMUNITY FOR RESEARCH, PROMOTION AND COMMERCIAL STUDIES. Spain.<\/li>\n\n\n\n<li>FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. Germany.<\/li>\n\n\n\n<li>INFOTRIPLA OY. Finland.<\/li>\n\n\n\n<li>NATIONAL UNIVERSITY OF IRELAND, GALWAY. Ireland.<\/li>\n\n\n\n<li>INTRASOFT INTERNATIONAL SA. Luxembourg.\nUNIVERSITY OF SOUTHAMPTON. United Kingdom.<\/li>\n\n\n\n<li>INFORMATION TECHNOLOGY INSTITUTE. Spain.<\/li>\n\n\n\n<li>Jeppesen GmbH. Germany.<\/li>\n\n\n\n<li>DEUTSCHE LUFTHANSA AKTIENGESELLSCHAFT. Germany.<\/li>\n\n\n\n<li>MATTERSOFT OY. Finland.<\/li>\n\n\n\n<li>NETWORK RAIL INFRASTRUCTURE LIMITED. United Kingdom.<\/li>\n\n\n\n<li>NOATUM PORTS VALENCIANA, S.A.U. Spain.<\/li>\n\n\n\n<li>ORBITA INGENERIA S.L. Spain.<\/li>\n\n\n\n<li>PTV PLANUNG TRANSPORT VERKEHR AG. Germany.<\/li>\n\n\n\n<li>SOFTWARE AG. Germany.<\/li>\n\n\n\n<li>TAIPALE TELEMATICS OY. Finland.<\/li>\n\n\n\n<li>UNIVERSITAET DUISBURG-ESSEN. Germany.<\/li>\n\n\n\n<li>POLYTECHNIC UNIVERSITY OF MADRID. Spain.<\/li>\n\n\n\n<li>Teknologian tutkimuskeskus VTT Oy. Finland.<\/li>\n\n\n\n<li>TOMTOM DEVELOPMENT GERMANY GMBH. Germany.<\/li>\n\n\n\n<li>THALES GROUND TRANSPORTATION SYSTEMS UK LTD. United Kingdom.<\/li>\n\n\n\n<li>THALES COMMUNICATIONS &amp; SECURITY SAS. France.<\/li>\n\n\n\n<li>VALLADOLID CITY COUNCIL. Spain.<\/li>\n\n\n\n<li>LINCE ASPRONA GROUP S.L.U. Spain.<\/li>\n\n\n\n<li>LOGIKA APOTHIKEFSEIS EMPOREVMATON MONOPROSOPI ETAIREIA PERIORISMENIS YTHINIS. Greece.<\/li>\n\n\n\n<li>PARADIGMA DIGITAL SL. Spain.<\/li>\n\n\n\n<li>INFORMATION TECHNOLOGY FOR MARKET LEADERSHIP. Greece.<\/li>\n\n\n\n<li>SOFLEET. France.<\/li>\n\n\n\n<li>J.A.M. DE RIJK BV. The Netherlands.<\/li>\n\n\n\n<li>Instituto Tecnol\u00f3gico de Arag\u00f3n, ITAINNOVA (Spain).<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-convocatoria\">Call for applications<\/h2>\n\n\n\n<p>\nH2020-ICT-2016-1. Information and Communication Technologies call.\n\nTopic: ICT-15-2016-2017: Big Data PPP: Large Scale Pilot actions in sectors best benefiting from data-driven innovation.\n<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-presupuesto\">Budget<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Total project budget: 18,698,814.38 .<\/li>\n\n\n\n<li>Total bankable budget of the project: 14,631,935.45 .<\/li>\n\n\n\n<li>ITAINNOVA&#8217;s bankable budget: 115,625.00 .<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-financiacion\">Financing<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Total project grant: 14,631,935.45 .<\/li>\n\n\n\n<li>Grant to ITAINNOVA: 115,625.00 .<\/li>\n<\/ul>\n\n\n\n<p>\n          <em>This project has received funding from the European Union&#8217;s Horizon 2020 research and innovation program\n through the agreement of \ngrant 731932.<\/em>\n        <\/p>\n\n\n<\/div>\n<\/div>\n","protected":false},"featured_media":25616,"template":"","categoria_proyecto":[459],"class_list":["post-25611","proyecto","type-proyecto","status-publish","has-post-thumbnail","hentry","categoria_proyecto-proyectos-ue"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.7 (Yoast SEO v24.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Transforming Transport (TT) - ITA<\/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:\/\/www.ita.es\/en\/project\/transforming-transport-tt\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Transforming Transport (TT)\" \/>\n<meta property=\"og:description\" content=\"General project data Presentation and objectives Big Data will have a profound economic and social impact on the mobility and logistics sector, which is one of the most used industries in the world, contributing to approximately 15% of GDP. 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