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European Training Network on Grey-Box Models for Safe and Reliable Intelligent Mobility Systems

Project description

DEENESFRITPL

Training researchers in grey box models

Mobility solutions are shaping the future, putting the human experience at the centre of transport and across all modes and infrastructures. The next step is to sustain the ongoing transition of European personal mobility towards safe and reliable intelligent mobility systems. The EU-funded GREYDIENT project will establish an innovative training network for the next generation of early-stage researchers (ESRs). The focus will be on grey box models, which are an answer to the pressing issue at hand as they are aimed at optimally integrating (black box) data driven machine learning tools with (white box) simulation models. The ESRs will be trained in the modelling, propagation and quantification of relevant variabilities, the application of Big Data and machine learning methods as well as the optimal combination of data-driven approaches with numerical models.

Objective

The GREYDIENT innovative training network aims at training a next generation of Early Stage Researchers (ESR) to fully sustain the ongoing transition of European personal mobility towards safe and reliable intelligent mobility systems via the recently introduced framework of grey-box modelling approaches. One of the main challenges that we currently face in this context is the integration of the data captured from the plenitude of sensors that are involved in a particular road-traffic scenario, ranging from monitoring car-component loading situations to power network-reliability estimations. The aim is to fully exploit the potential of merging these data with advanced computational models of components and systems that are widely available in industry in order to fully assess the momentarily safety. Grey box models are an answer to this pressing issue, as they are aimed at optimally integrating (black-box) data driven machine learning tools with (white-box) simulation models to greatly surpass the performance of either framework separately. However, the training of professional profiles in Europe who combine knowledge and experience in state-of-the-art data-driven black box and numerical white box approaches with expertise in methods for reliability and safety estimation is scarce. Therefore, GREYDIENT will train its ESR’s in a wide spectrum of fields, including the modelling, propagation and quantification of the relevant variabilities, the application of big data and machine learning methods, as well as the optimal combination of data-driven approaches with numerical models. All our ESR’s will obtain a PhD from an internationally respected University, build experience in communicating and disseminating their work, applying their research skills in a non-academic context and receive in-depth training in transferable skills such commercialization, collaboration and entrepreneurship. This training will be organized in close cooperation with key industry stakeholders.

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Call for proposal

H2020-MSCA-ITN-2020

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Funding Scheme

MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)

Coordinator

KATHOLIEKE UNIVERSITEIT LEUVEN
Net EU contribution
€ 512 640,00
Address
Oude markt 13
3000 Leuven
Belgium

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Region
Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven
Activity type
Higher or Secondary Education Establishments
Links
Other funding
€ 0,00

Participants (9)

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Last update: 26 February 2023

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Permalink: https://cordis.europa.eu/project/id/955393

European Union, 2023