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DATA SIM

Financiado

Cerrado

Data Science for Simulating the Era of Electric Vehicles

DATA SIM aims at providing an entirely new and highly detailed spatio-temporal microsimulation methodology for human mobility, grounded on massive amounts of big data of various types and from various sources, with the goal to for... ver más

31/08/2014

UHASSELT

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

UNIVERSITEIT HASSELT 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 10 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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Información adicional privada

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

10 Participantes

UHASSELT

0.00€ | Lider

CNR

N.D. | Participante

UNIVERSITY OF PIRAEUS

N.D. | Participante

TECHNION ISRAEL INSTITUTE O...

N.D. | Participante

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Líder del proyecto

UNIVERSITEIT HASSELT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto DATA SIM aims at providing an entirely new and highly detailed spatio-temporal microsimulation methodology for human mobility, grounded on massive amounts of big data of various types and from various sources, with the goal to forecast the nation-wide consequences of a massive switch to electric vehicles, given the intertwined nature of mobility and power distribution networks.While the increasing availability of big data about human activities provides radical new ways of understanding the social and ecological universe, it is our ambition in this project to complement this information with behaviourally rich data, pertaining to the purpose of human travels. In terms of interdependencies, our advanced integrated methodological environment allows for more realistic and consistent linkages across travel choices made by the individuals in the course of a day than conventional models, with the goal of simulating tens of millions of individual agents, each with their detailed prediction of every activity-travel schedule, enabling more detailed segmentations based on user profiles of the agents, different activity types, trip duration and driving ranges. Significant breakthroughs can be gained from the project, which lead to novel dimensions of use, along the milestones that were set forward in the European Industry Roadmap for the Electrification of Road Transport from today till 2020.Many scientists have already pointed out that the goal of social sciences is not simply to understand how people behave in large groups, but to understand what motivates individuals to behave the way they do. This fundamental insight, which can be gained from this project, is a step forward towards the solution of this important challenge,, and it can help us to better understand the dynamics of our society and, in the longer run, to have an impact on overall and wider societal well-being.

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