New data spaces for green mobility

Informazioni relative al progetto

MobiSpaces

ID dell’accordo di sovvenzione: 101070279

DOI

10.3030/101070279

Progetto chiuso

Data della firma CE 17 Giugno 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 8 808 062,50

Contributo UE

€ 8 808 062,50

Coordinato da

GFT ITALIA SRL
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Demonstrators, pilots, prototypes (6)

Mobility-aware Decentralized Analytics v1

Delivers the software implementations of (i) mobility aware learning at the edge, (ii) FL of spatiotemporal data, (iii) XAI techniques for trustworthiness, fairness and explainability of created models, (iv) visual analytics, and (v) authorization and access control framework.

MobiSpaces Data Governance Platform v1

Provides the MobiSpaces Data Governance Platform.

Integrated Data Governance Operations v1

Delivers the software implementations of (i) decentralized data acquisition/in-situ processing, (ii) data sharing and interoperability, (iii) secure data handling, (iv) human/FAIR data actions, and (v) privacy profiling.

AI-based Data Operations v1

Delivers the software implementations of (i) mobility-aware AI and pattern analysis algorithms, (ii) adaptive resource allocation and configuration, (iii) efficient and user-friendly declarative analytics, (iv) AI-enhanced aggregation algorithms, (v) decentralized data management system, and (vi) protection of data flows.

Edge Analytics Suite v1

Provides the Edge Analytics Suite.

AI-based Data Operations Toolbox v1

Delivers the AI-based Data Operations Toolbox.

Documents, reports (8)

Use Cases Co-Creation & Design v2

Delivers the co-creation activities and design for the different use case scenarios.

MobiSpaces Use Cases with Impact Roadmaps v1

Delivers a report for facilitating alignment and contributions in EU Synergies and open standards.

Dissemination & Communication Plan & Activities v2

Delivers a plan and a report for the communication/dissemination activities.

Dissemination & Communication Plan & Activities v1

Delivers a plan and a report for the communication/dissemination activities.

Green & Environmental Dimensioning Workbench v1

Includes the guidelines and the Green & Environmental Dimensioning Workbench design and principles.

Conceptual Model & Reference Architecture v2

Provides key components of MobiSpaces and interactions among them.

Conceptual Model & Reference Architecture v1

Provides key components of MobiSpaces and interactions among them.

Use Cases Co-Creation & Design v1

Delivers the co-creation activities and design for the different use case scenarios.

Pubblicazioni

Other (1)

Climate Resilient Society

Autori: Anita Graser, Christos Doulkeridis, George S. Theodoropoulos
Pubblicato in: 2023
Editore: ercim-news.ercim.eu

Conference proceedings (9)

Deep Learning From Trajectory Data: a Review of Deep Neural Networks and the Trajectory Data Representations to Train Them

Autori: Anita Graser, Anahid Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz
Pubblicato in: 2023

Enhancing Explainability in Mobility Data Science through a combination of methods

Autori: Georgios Makridis, Vasileios Koukos, Georgios Fatouros, Dimosthenis Kyriazis
Pubblicato in: 2023
Editore: arXiv e-prints
DOI: 10.48550/arXiv.2312.00380

MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data

Autori: Doulkeridis, Christos; Santipantakis, Georgios ; Koutroumanis, Nikolaos ; Makridis, George ; Koukos, Vasilis ; Theodoropoulos, George S. ; Theodoridis, Yannis ; Kyriazis, Dimosthenis ; Kranas, Pavlos ; Burgos, Diego ; Jimenez-Peris, Ricardo ; Duarte, Mari
Pubblicato in: IEEE EXPLORE, 2023
Editore: IEEE
DOI: 10.1109/BigData59044.2023.10386539

TrajParquet: A Trajectory-Oriented Column File Format for Mobility Data Lakes

Autori: Nikolaos Koutroumanis, Christos Doulkeridis, Chiara Renso, Mirco Nanni, Raffaele Perego
Pubblicato in: 2023
DOI: 10.1145/3589132.3625623

XAI for Time-Series Classification Leveraging Image Highlight Methods

Autori: Georgios Makridis, Georgios Fatouros, Vasileios Koukos, Dimitrios Kotios, Dimosthenis Kyriazis & John Soldatos
Pubblicato in: 2024
DOI: 10.1007/978-3-031-51643-6_28

Towards eXplainable AI for Mobility Data Science

Autori: Anahid Jalali, Anita Graser, Clemens Heistracher
Pubblicato in: 2023
DOI: 10.48550/arXiv.2307.08461

Outlier Detection and Cleaning in Trajectories: A Benchmark of Existing Tools

Autori: Mariana M G Duarte, Mahmoud Sakr
Pubblicato in: 2023, ISSN 1613-0073
Editore: EDBT/ICDT 2023

VesselVision: Fleet Safety Awareness over Streaming Vessel Trajectories

Autori: Andreas Tritsarolis, Nikos Pelekis, Yannis Theodoridis
Pubblicato in: 2023
DOI: 10.1145/3589132.3625565

Privacy-preserving Data Federation for Trainable, Queryable and Actionable Data

Autori: Theodora Anastasiou; Sophia Karagiorgou; Petros Petrou; Dimitrios Alexandrou; Thanassis Bouras
Pubblicato in: 2023
DOI: 10.1109/ICDEW58674.2023.00012

Peer reviewed articles (3)

ACM Transactions on Knowledge Discovery from Data

Autori: Yannis Poulakis, Christos Doulkeridis, Dimosthenis Kyriazis
Pubblicato in: ACM Transactions on Knowledge Discovery from Data, 2024, ISSN 1556-4681
Editore: Special Interest Group on Computer Graphics, Association for Computing Machinery
DOI: 10.1145/3643564

CIDaTa: an ontology-based framework for international data transfers and GDPR compliance

Autori: Mohammad Mahmudul Hasan, Marcelo Corrales, George Kousiouris, Dimosthenis Anagnostopoulos
Pubblicato in: International Journal of Metadata, Semantics and Ontologies, 2023, ISSN 1744-263X
Editore: International Journal of Metadata, Semantics and Ontologies
DOI: 10.1504/IJMSO.2023.10060489

MobilityDL: A Review of Deep Learning From Trajectory Data

Autori: Anita Graser, Anahid Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz
Pubblicato in: Geoinformatica, 2024, ISSN 2331-8422
Editore: arXivLabs
DOI: 10.48550/arXiv.2402.00732