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REDUCTION

Financiado

Cerrado

Reducing Environmental Footprint based on Multi Modal Fleet management System fo...

Reducing Environmental Footprint based on Multi Modal Fleet management System for Eco Routing and Driver Behaviour Adaptation Reduction of CO2 emissions is the great challenge of the transport sector nowadays. Despite progress in vehicle manufacturing and fuel technology, additional innovative technologies are needed to address this challenge. According... ver más

31/08/2014

UNI HILDESHEIM

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

STIFTUNG UNIVERSITAT HILDESHEIM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 8 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2014-08-31 No tenemos la información de la convocatoria

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No hay información privada compartida para este proyecto. Habla con el coordinador.

8 Participantes

UNI HILDESHEIM

0.00€ | Lider

N.D. | Participante

HELLENIC TRAIN S.A.

N.D. | Participante

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Líder del proyecto

STIFTUNG UNIVERSITAT HILDESHEIM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Reduction of CO2 emissions is the great challenge of the transport sector nowadays. Despite progress in vehicle manufacturing and fuel technology, additional innovative technologies are needed to address this challenge. According to the Int. Assoc. of Public Transport, a significant fraction of CO2 emissions in EU cities is resulting from public transport and other mass transport means, which are commonly organized into multi-modal transport fleets, because their vehicles have, on average, nearly substantial mileage and fuel consumption.<br/>The REDUCTION project focuses on advanced ICT solutions for managing multi-modal fleets and reducing their environmental footprint. REDUCTION collects historic and real-time data about driving behaviour, routing information, and emissions measurements, that are processed by advanced predictive analytics to enable fleets enhancing their current services as follows: 1) Optimizing driving behaviour: supporting effective decision making for the enhancement of drivers' education and the formation of effective policies about optimal traffic operations (speeding, braking, etc.), based on the analytical results over the data that associate driving-behaviour patterns with CO2 emissions. 2) Eco-routing: suggesting environmental-friendly routes and allowing multi-modal fleets to reduce their overall mileage automatically. 3) Support for multi-modality: offering a transparent way to support multiple transportation modes and enabling co-modality.<br/>REDUCTION follows an interdisciplinary approach and brings together expertise from several communities. Its innovative, decentralized architecture allows scalability to large fleets by combining both V2V and V2I approaches. Its planned commercial exploitation, based on its proposed cutting-edge technology, aims at providing a major breakthrough in the fast growing market of services for "green" fleets in EU and worldwide, and present substantial impact to the challenging environmental goals of EU.

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