Extreme-scale Urban Mobility Data Analytics as a Service

Rezultaty

Document registering the key activities pertaining to maximizing the dissemination of EMERALDs outcomes during and after the project’s lifecycle.

EMERALDS Reference Architecture

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

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.

Demonstration of integrated services (EMERALDS) v1

First integration of EMERALDS tools in CARTO platform environment, testing of the MapVectorTile standard performance in voluminous spatial map plots.

Containerized EMERALDS Toolset v1

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

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

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.

Publikacje

Shared Micro-mobility Demand Forecasting using Gradient Boosting methods

Autorzy: Antonios Tziorvas, George S. Theodoropoulos, Yannis Theodoridis
Opublikowane w: 2025, ISSN 1613-0073
Wydawca: CEUR

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant

Autorzy: Gaspard Merten, Gilles Dejaegere, Mahmoud Sakr
Opublikowane w: Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025
Wydawca: ACM
DOI: 10.1145/3748636.3762765

Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond

Autorzy: Z Liu, K Janowicz, K Currier, M Shi, J Rao, S Gao, L Cai, A Graser
Opublikowane w: Proceedings of the 4th International Symposium on Platial Information Science (PLATIAL’23)
Wydawca: PLATIAL’X Symposium Series
DOI: 10.5281/ZENODO.8286277

ST-SplitVFL: Spatio-Temporal Split Vertical Federated Learning

Autorzy: Graser, Anita (Producer), Lorencio Abril, Jose Antonio (Producer), Weißenfeld, Axel (Producer), Jalali, Anahid (Producer)
Opublikowane w: 2025
Wydawca: Zenodo
DOI: 10.5281/ZENODO.17661670

Processing of Spatial-Keyword Range Queries in Apache Spark

Autorzy: A Karabinos, P Tampakis, C Doulkeridis, A Vlachou
Opublikowane w: BigSpatial '23: Proceedings of the 11th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
Wydawca: 11th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data 2023
DOI: 10.1145/3615833.3628592

Data-Driven Digital Mobility Twins

Autorzy: Sakr, Mahmoud
Opublikowane w: 2023
Wydawca: DI fusion

Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events

Autorzy: P Krishnakumari, S Hoogendoorn-Lanser, J Steenbakkers, S Hoogendoorn
Opublikowane w: TRB Annual Meeting 2024
Wydawca: National Academies TRB
DOI: 10.48550/ARXIV.2308.00076

Pythia: Distributed Pattern-based Future Location Prediction of Moving Objects

Autorzy: Panagiotis Tampakis, Nikos Pelekis
Opublikowane w: CEUR Workshop Proceedings, Numer roceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference (March 25-28, 2024), Paestum, Italy, ISSN 1613-0073
Wydawca: CEUR

PCIe Monitoring for Secure Code Execution in Heterogeneous System Architectures

Autorzy: Iasonas Georgakas, Eva Papadogiannaki, Konstantinos Georgopoulos, Sotiris Ioannidis
Opublikowane w: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), 2025
Wydawca: IEEE
DOI: 10.1109/CSR64739.2025.11130157

CrowdSense: Interpretable and Efficient Multivariate Crowd Forecasting with Active Learning

Autorzy: Wachsenegger, Anahid; Graser, Anita; Weißenfeld, Axel; Dragaschnig, Melitta
Opublikowane w: 2025, ISSN 1613-0073
Wydawca: CEUR Workshop Proceedings

Experimental Probing of Graph Convolutional Neural Networks Architectures for Traffic Analysis

Autorzy: Bahare Salehi, Mahmoud Sakr
Opublikowane w: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), ISSN 2473-3490
Wydawca: IEEE
DOI: 10.1109/ICDEW61823.2024.00009

Parallel Spatial Join Processing with Adaptive Replication

Autorzy: Nikolaos Koutroumanis, Christos Doulkeridis, Akrivi Vlachou
Opublikowane w: Proceedings of 28th International Conference on Extending Database Technology (EDBT'25), Barcelona, Spain
Wydawca: openproceedings.org

Data-Driven Digital Mobility Twins

Autorzy: Mahmoud Sakr
Opublikowane w: SIGSPATIAL '23: 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Wydawca: SIGSPATIAL ACM Special Interest Group on Spatial Information
DOI: 10.1145/3615896.3628417

Estimating Urban Traffic Using Public Transit Buses as Probes

Autorzy: Bahare Salehi, Mahmoud Sakr
Opublikowane w: Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025
Wydawca: ACM
DOI: 10.1145/3748636.3762759

Brussels Mobility Twin

Autorzy: Mahmoud Sakr, Gaspard Merten
Opublikowane w: SIGSPATIAL '23: 31st ACM International Conference on Advances in Geographic Information Systems
Wydawca: SIGSPATIAL ACM Special Interest Group on Spatial Information
DOI: 10.1145/3589132.3625634

Hot Spot Analysis for Big Trajectory Data in Road Networks

Autorzy: Panagiota Keziou, Christos Doulkeridis
Opublikowane w: 2025, ISSN 1613-0073
Wydawca: CEUR

Abandon All Hope Ye Who Enter Here: A Dynamic, Longitudinal Investigation of Android's Data Safety Section

Autorzy: Ioannis Arkalakis, Michalis Diamantaris, Serafeim Moustakas, and Sotiris Ioannidis (Technical University of Crete); Jason Polakis (University of Illinois Chicago) Panagiotis Ilia (Cyprus University of Technology)
Wydawca: USENIX Security 2024

Trajectools Demo: Towards No-Code Solutions for Movement Data Analytics

Autorzy: Graser, A. & Dragaschnig, M.
Opublikowane w: ISBN 979-8-3503-7455-1
Wydawca: IEEE

Path-based Traffic Flow Prediction

Autorzy: Karkanis, E., Pelekis, N., Chondrodima, E., & Theodoridis, Y
Opublikowane w: Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference (March 25-28, 2024), Paestum, Italy, ISSN 1613-0073
Wydawca: BMDA 2024

I2DS: FPGA-Based Deep Learning Industrial Intrusion Detection System

Autorzy: Ioannis Morianos, Konstantinos Georgopoulos, Andreas Brokalakis, Thomas Kyriakakis, Sotiris Ioannidis
Opublikowane w: Lecture Notes in Computer Science, Embedded Computer Systems: Architectures, Modeling, and Simulation, 2024
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78380-7_14

Towards eXplainable AI for Mobility Data Science

Autorzy: Anahid Jalali, Anita Graser, Clemens Heistracher
Opublikowane w: ArxiV Computer Science Artificial Intelligence, ISSN 2307-0846
Wydawca: ArxiV Computer Science Artificial Intelligence
DOI: 10.48550/ARXIV.2307.08461

Brussels Mobility Twin

Autorzy: Sakr, Mahmoud; Merten, Gaspard
Opublikowane w: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Wydawca: ACM Digital Library
DOI: 10.1145/3589132.3625634

Efficient Semantic Similarity Search over Spatio-textual Data

Autorzy: George S. Theodoropoulos, Kjetil Nørvåg and Christos Doulkeridis
Opublikowane w: ISSN 2367-2005
Wydawca: openproceedings.org

Evaluation of Machine Learning and Deep Learning models for Multi-Horizon Crowd Forecasting at Scheveningen Beach, Netherlands

Autorzy: Theivaprakasham Hari, Winnie Daamen, Sascha Hoogendoorn-Lanser,Jeroen Steenbakkers, Serge Paul Hoogendoorn
Opublikowane w: Transportation Research Record: Journal of the Transportation Research, ISSN 0361-1981
Wydawca: SAGE Publishing
DOI: 10.1177/03611981261422125

Bicycle Travel Time Estimation via Dual Graph-Based Neural Networks

Autorzy: Ting Gao, Winnie Daamen, Elvin Isufi, Serge P. Hoogendoorn
Opublikowane w: IEEE Transactions on Intelligent Transportation Systems, Numer 27, 2026, ISSN 1524-9050
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TITS.2025.3633150

Map‐matching for cycling travel data in urban area

Autorzy: Ting Gao, Winnie Daamen, Panchamy Krishnakumari, Serge Hoogendoorn
Opublikowane w: IET Intelligent Transport Systems, Numer 18, 2025, ISSN 1751-956X
Wydawca: Institution of Engineering and Technology (IET)
DOI: 10.1049/ITR2.12567

MobilityDL: a review of deep learning from trajectory data

Autorzy: Anita Graser, Anahid Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz
Opublikowane w: GeoInformatica, 2024, ISSN 1384-6175
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/s10707-024-00518-8

Map‐matching for cycling travel data in urban area

Autorzy: Ting Gao, Winnie Daamen, Panchamy Krishnakumari, Serge Hoogendoorn
Opublikowane w: IET Intelligent Transport Systems, Numer 18, 2025, ISSN 1751-956X
Wydawca: Institution of Engineering and Technology (IET)
DOI: 10.1049/ITR2.12567

Mobility Data Science: Perspectives and Challenges

Autorzy: Mohamed Mokbel, Mahmoud Sakr, et al.
Opublikowane w: ACM Transactions on Spatial Algorithms and Systems, ISSN 2374-0353
Wydawca: ACM
DOI: 10.1145/3652158

Spatio-Temporal Vertical Federated Learning to Overcome Data Sharing Limitations

Autorzy: Lorencio Abril, Jose Antonio; Graser, Anita; Weißenfeld, Axel; Wachsenegger, Anahid
Opublikowane w: Abstracts of the ICA, 2024
Wydawca: ICA
DOI: 10.5194/ICA-ABS-7-95-2024

Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models

Autorzy: Graser, Anita
Opublikowane w: 2025
Wydawca: arXiv
DOI: 10.48550/ARXIV.2504.03725

Towards Mobility Data Science (Vision Paper)

Autorzy: Mohamed F. Mokbel; Mahmoud Attia Sakr; Li Xiong 0001; Andreas Züfle; Jussara M. Almeida; Taylor Anderson 0001; Walid G. Aref; Gennady L. Andrienko; Natalia V. Andrienko; Yang Cao 0011; Sanjay Chawla; Reynold Cheng; Panos K. Chrysanthis; Xiqi Fei; Gabriel Ghinita; Anita Graser; Dimitrios Gunopulos; Christian S. Jensen; Joon-Seok Kim 0001; Kyoung-Sook Kim 0001; Peer Kröger; John Krumm; Johannes Lauer; Amr Magdy 0001; Mario A. Nascimento; Siva Ravada; Matthias Renz; Dimitris Sacharidis; Cyrus Shahabi; Flora D. Salim; Mohamed Sarwat; Maxime Schoemans; Bettina Speckmann; Egemen Tanin; Xu Teng; Yannis Theodoridis; Kristian Torp; Goce Trajcevski; Marc J. van Kreveld; Carola Wenk; Martin Werner 0001; Raymond Chi-Wing Wong; Song Wu; Jianqiu Xu; Moustafa Youssef 0001; Demetris Zeinalipour; Mengxuan Zhang 0001; Esteban Zimányi
Opublikowane w: CoRR, 2023
Wydawca: ACM
DOI: 10.48550/ARXIV.2307.05717

Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models

Autorzy: Graser, Anita
Opublikowane w: 2023
Wydawca: arXiv
DOI: 10.48550/ARXIV.2504.03725

Rezultaty

Publikacje

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