New data spaces for green mobility

Digital, Industry & SpaceHORIZON-RIAID: 101070279
EC Contribution
€88,081
Consortium Size
29 orgs
Start Year
2022
Summary

Mobility in the urban and maritime domains hugely impacts the global economy, generating data at high rates from an increasing number of moving objects. Management of the complete lifecycle of such data implies that trustworthy and privacy-preserving infrastructures need to be put in place, so that reliable and secure data operations can be provided. Meanwhile, the mobility data exploitation has still a wide potential due to the emerging applications and the environmental footprint caused by mobility (e.g., carbon emissions, energy consumption). Motivated by these pressing needs, MobiSpaces delivers an end-to-end mobility-aware and mobility-optimized data governance platform with key differentiating factor that the outcomes of mobility analytics will be utilized to optimize the complete data path, in terms of efficient, reliable, secure, fair and trustworthy data processing. MobiSpaces promises the extraction of actionable insights from ubiquitous mobile sensor data and IoT devices in a decentralized way, offering intelligent transportation services, enforcing privacy constraints at the expected point of action. XAI techniques will be applied at the level of data management and machine learning, supporting the creation of comprehensive and interpretable prediction models, while all the research outcomes will be validated through five use cases: 1) intelligent public transportation services in urban environments, 2) intelligent infrastructure traffic sensing for smart cities, 3) vessel tracking for non-cooperative vessels, 4) decentralized processing on-board of vessels, and 5) enhanced nautical maps via crowdsourced bathymetry vessels data. These actions will be continuously adapted and monitored for their environmental sustainability, whereas MobiSpaces will create a widely accepted standard of data processing and analytics, alongside a data-rich ecosystem providing trustworthy and actionable data that is vital for enabling the growth of the EU digital economy.

Consortium (29)

Project Results (52)

Source: CORDIS, the EU research results database.

Publications (13)
ACM Transactions on Knowledge Discovery from Data
ACM Transactions on Knowledge Discovery from Data· 2024DOI
Yannis Poulakis, Christos Doulkeridis, Dimosthenis Kyriazis
MobilityDL: A Review of Deep Learning From Trajectory Data
Geoinformatica· 2024DOI
Anita Graser, Anahid Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz
XAI for Time-Series Classification Leveraging Image Highlight Methods
· 2024DOI
Georgios Makridis, Georgios Fatouros, Vasileios Koukos, Dimitrios Kotios, Dimosthenis Kyriazis & John Soldatos
CIDaTa: an ontology-based framework for international data transfers and GDPR compliance
International Journal of Metadata, Semantics and Ontologies· 2023DOI
Mohammad Mahmudul Hasan, Marcelo Corrales, George Kousiouris, Dimosthenis Anagnostopoulos
Climate Resilient Society
· 2023
Anita Graser, Christos Doulkeridis, George S. Theodoropoulos
Deep Learning From Trajectory Data: a Review of Deep Neural Networks and the Trajectory Data Representations to Train Them
· 2023
Anita Graser, Anahid Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz
Enhancing Explainability in Mobility Data Science through a combination of methods
· 2023DOI
Georgios Makridis, Vasileios Koukos, Georgios Fatouros, Dimosthenis Kyriazis
MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data
IEEE EXPLORE· 2023DOI
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
Outlier Detection and Cleaning in Trajectories: A Benchmark of Existing Tools
· 2023
Mariana M G Duarte, Mahmoud Sakr
Privacy-preserving Data Federation for Trainable, Queryable and Actionable Data
· 2023DOI
Theodora Anastasiou; Sophia Karagiorgou; Petros Petrou; Dimitrios Alexandrou; Thanassis Bouras
Towards eXplainable AI for Mobility Data Science
· 2023DOI
Anahid Jalali, Anita Graser, Clemens Heistracher
TrajParquet: A Trajectory-Oriented Column File Format for Mobility Data Lakes
· 2023DOI
Nikolaos Koutroumanis, Christos Doulkeridis, Chiara Renso, Mirco Nanni, Raffaele Perego
VesselVision: Fleet Safety Awareness over Streaming Vessel Trajectories
· 2023DOI
Andreas Tritsarolis, Nikos Pelekis, Yannis Theodoridis
Deliverables (39)
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Documents, reports
Documents, reports
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes