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Informació del projecte

ID: 731932

Fecha inicio

01-01-2017

Fecha fin

31-07-2019


Coordinador institucional
Universitat Politècnica de Madrid

Finançament

276 250,00 Euros
(Total amount or amount awarded)

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16 demarç de 2021
Projectes d'R+D+i i ajudes
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Projecte competitiu
No

Transforming Transport

Investigadors/es: ARCE RUIZ, ROSA MARIA (Participante); Corcho García, Oscar (Investigador principal (IP)); BOGGIO MARZET, ALESSANDRA (Participante); YEDRO MARTÍNEZ, FRANCISCO LEONARDO (Participante); VAZQUEZ PUIG, PABLO (Participante); RODRIGUEZ DONCEL, VICTOR (Participante); ALCAZAR VALDARACETE, RAUL (Participante); LOPEZ LAMBAS, MARIA EUGENIA (Participante); VELAZQUEZ ROMERA, GUILLERMO (Participante); Monzón de Cáceres, Andrés (Participante); ROMAN DE ANDRES, ALFONSO (Participante)

Afiliacions

UPM. INTELIGENCIA ARTIFICIAL (University Department)
UPM. CENTRO DE INVEST. DEL TRANSP. \'TRANSYT\' (Institute or University Research Center)
UPM. Universidad Politécnica de Madrid (University)
UPM. Planificación del Transporte (Grupo de investigacion)
UPM. Ontology Engineering Group (Grupo de investigacion)
UPM. Patrimonio, Territorio y Medio Ambiente (Innovation group)
UPM. Innovación educativa en planificación urbana, territorial y del transporte (Innovation group)
UPM. Inteligencias Responsables (Innovation group)
UPM. E.T.S. DE ING. DE CAMINOS, CANALES Y P. (School)
UPM. INTELIGENCIA ARTIFICIAL (University Department)
UPM. INGENIERÍA DEL TRANSPORTE, TERRITORIO Y URBANISMO (University Department)
UPM. Centro de I+D+i en Inteligencia Artificial (AI.nnovation Space) (Institute or University Research Center)
UPM. CENTRO DE INVEST. DEL TRANSP. \'TRANSYT\' (Institute or University Research Center)
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Resum

Big Data will have a profound economic and societal impact in the mobility and logistics sector, which is one of the most-used industries in the world contributing to approximately 15% of GDP. Big Data is expected to lead to 500 billion USD in value worldwide in the form of time and fuel savings, and savings of 380 megatons CO2 in mobility and logistics. With freight transport activities projected to increase by 40% in 2030, transforming the current mobility and logistics processes to become significantly more efficient, will have a profound impact. A 10% efficiency improvement may lead to EU cost savings of 100 BEUR. Despite these promises, interestingly only 19 % of EU mobility and logistics companies employ Big Data solutions as part of value creation and business processes. The TransformingTransport project will demonstrate, in a realistic, measurable, and replicable way the transformations that Big Data will bring to the mobility and logistics market. To this end, TransformingTransport, validates the technical and economic viability of Big Data to reshape transport processes and services to significantly increase operational efficiency, deliver improved customer experience, and foster new business models. TransformingTransport will address seven pilot domains of major importance for the mobility and logistics sector in Europe: (1) Smart High-ways, (2) Sustainable Vehicle Fleets, (3) Proactive Rail Infrastructures, (4) Ports as Intelligent Logistics Hubs, (5) Efficient Air Transport, (6) Multi-modal Urban Mobility, (7) Dynamic Supply Chains. The TransformingTransport consortium combines knowledge and solutions of major European ICT and Big Data technology providers together with the competence and experience of key European industry players in the mobility and logistics domain. (Most relevant results)

Paraules clau

Finançadors

Indicis de qualitat

Programa

H2020

Finançador

Comisión Europea

Abast

Internacional no UE

País

Belgium; Germany; Oman; Spain; United Kingdom

Coordinador institucional

Si

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