CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
Document registering the key activities pertaining to maximizing the dissemination of EMERALDs outcomes during and after the project’s lifecycle.
EMERALDS Reference Architecture (opens in new window)EMERALDS Toolset reference architecture that utilises dedicated components from partners and open software, and distributed systems including edge/fog nodes and cloud nodes with the aim to deliver the EMERALDS services and their respective configuration towards establishing robust extreme mobility data analytics pipelines. The report will also include information on functional requirements, technical development aspects and definition of technical KPIs.
Use Cases Scoping Document (opens in new window)Report outlining the KPIs, timeplans, implementation plans, key resources and datasets of each use case as well as the end-to-end validation procedure to evaluate performance and effectiveness of the visioned MAaaS and the baseline situation of existing tools and approaches in the use cases.The report will detail also the solutions adopted for the technical implementation of the different tools that will be demonstrated in WP5.
First integration of EMERALDS tools in CARTO platform environment, testing of the MapVectorTile standard performance in voluminous spatial map plots.
Containerized EMERALDS Toolset v1 (opens in new window)Early integration of the developments from WP3 and WP4 into a re-usable and containerized toolset to be demonstrated in applications foreseen in WP5 and WP6 adhering to continuous integration and deployment software development principles. Introducing an efficient, interoperable and easy-to-deploy urban MAaaS toolset, containing methods for executing extreme data workflows.
Mobility Data Processing Services v1 (opens in new window)Software library containing early prototypes of the extreme mobility data processing services, methods and tools which are scalable and support the ingestion of heterogeneous data types from each tier of the computing continuum.The deliverable will include a report and manual defining the data preparation activities, that include data modelling (ensuring standardisation thus interoperability), data semantics, annotation, multilingual processing aspects.
Mobility Data Analytics and Learning Services v1 (opens in new window)Software library containing early versions of the extreme Mobility Data Analytics and Learning Services with embedded privacy-preserving tools and ingesting heterogeneous data types from each tier of the computing continuum accompanied by report consolidating release notes and instructions on executing the developed methods. A report will document the advancement of AI models compared to state-of-the art models and methods.
Publications
Author(s):
Anita Graser, Anahid Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz
Published in:
GeoInformatica, 2024, ISSN 1384-6175
Publisher:
Springer Science and Business Media LLC
DOI:
10.1007/s10707-024-00518-8
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