Project description
Paving the way for better use of mobility data
Cities are flooded by many terabytes of mobility data, including information about cars, public transport and air quality. What to do with all this information? The EU-funded EMERALDS project will develop a toolset for mobility data. Its aim is to facilitate the processing and analysing the large data streams. The toolset will enable the stakeholders of the urban mobility ecosystem to collect and manage ubiquitous spatio-temporal data of high-volume, high-velocity and of high-variety, analyse them both in online and offline settings. It will be tested in the pilot cities of Utrecht and The Hague. Specifically, the toolset will make it possible to import data to real-time responsive algorithms and visualise results in interactive dashboards.
Objective
EMERALDS’s vision is to design, develop and create an urban data-oriented Mobility Analytics as a Service (MAaaS) toolset, consisting of the so-called ‘emeralds’ services, compiled in a proof-of-concept prototype, capable of exploiting the untapped potential of extreme urban mobility data. The toolset will enable the stakeholders of the urban mobility ecosystem to collect and manage ubiquitous spatio-temporal data of high-volume, high-velocity and of high-variety, analyse them both in online and offline settings, import them to real-time responsive AI/ML algorithms and visualize results in interactive dashboards, whilst implementing privacy preservation techniques at all data modalities and at all levels of its architecture. The toolset will offer advanced capabilities in data mining (searching and processing) of large amounts and varieties of urban mobility data and its efficiency will be assessed, validated and demonstrated in three TRL5 pilot use cases (by following a co-development approach with mobility and city stakeholders to improve decision making in urban smart city environments), and deployed/showcased in two early adopters’ data-driven TRL6 applications (by integrating the new services to existing systems to improve commercial offerings).
Fields of science
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
145 61 Athina
Greece
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participants (15)
1210 Wien
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56124 Pisa
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
56124 Pisa
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
185 33 PIRAEUS
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28760 Tres Cantos Madrid
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1050 Bruxelles / Brussel
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76131 Karlsruhe
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731 00 Chania
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1050 Riga
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
41012 Sevilla
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2628 CN Delft
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2805 TD Gouda
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
12 Dublin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5223AL 'S-Hertogenbosch
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00161 Roma
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Partners (4)
1067 Riga
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YO1 9QN York
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3521 AZ Utrecht
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2511 BT Den Haag
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