Exploring Mobility Data Intelligence for Smarter, Greener Cities
📍 Co-located with the European Big Data Value Forum (EBDVF 2025), Denmark
As part of the European Big Data Value Forum 2025, the EMERALDS project held its Final Event, a three-hour workshop showcasing how advanced mobility data analytics and AI-driven solutions can transform the way we understand, plan, and optimise transport systems across Europe.
Over the past three years, EMERALDS worked to bridge data science, artificial intelligence, and mobility management to create an open, scalable environment for Mobility AI as a Service. The project brought together research institutions, public authorities, and technology providers to enable more efficient, sustainable, and secure urban mobility.
This final event explored how EMERALDS' services and infrastructure supported real-world applications, from traffic monitoring and trajectory analysis to intelligent transport optimisation. Participants gained insights into:
- Innovative tools for in-situ and edge-based mobility data processing.
- New approaches to trajectory and spatio-temporal data analytics.
- Advanced frameworks for machine learning, explainable AI, and secure deployment.
- Practical demonstrations from pilot cities across Europe, including The Hague, Rotterdam, Riga, and York
The session was structured in two parts: an in-depth look at the EMERALDS architecture and analytical services, followed by live demonstrations from the project's use cases in the urban mobility domain.
The event offered an opportunity to discover how EMERALDS contributed to Europe's data-driven future, making mobility smarter, safer, and more sustainable.
Read the Agenda and topics discussed during the event
| Timing | Speaker(s) | Topics and Discussion | |
|---|---|---|---|
Part I: EMERALDS Technical Achievements & Key Innovation Results |
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| 09:00 - 09:05 |
Konstantinos Dafloukas (INLECOM) |
The EMERALDS Horizon EU project – an Overview |
|
| 09:05 - 09:10 | Yannis Theodoridis (Uni. Piraeus) |
The EMERALDS Services – Advancing the State-of-the-art in Mobility Data Analytics. |
|
| 09:10 - 09:20 | George Theodoropoulos (Uni. Piraeus) |
In-situ Mobility Data Processing & Analytics. |
|
| 09:20 - 09:30 | Bahare Salehi (ULB) | Urban Traffic Monitoring and Interpolation. | |
| 09:30 - 09:40 | Anita Graser (AIT) | Trajectory Data Analysis with Trajectools & MovingPandas. | |
| 09:40 - 09:50 | Anahid Wachsenegger (AIT) | Active Learning & XAI over Mobility Data. | |
| 09:50 - 10:00 | José Luis Cárcel (EVIDEN) | The EMERALDS Mobility AI-as-a-Service Platform. | |
| 10:00 - 10:10 | Miguel Álvarez García (CARTO) | The EMERALDS Mobility Analytics Dashboard. | |
| 10:10 - 10:20 | Eva Papadogiannaki (TU Crete) | The EMERALDS Security Backbone. | |
| 10:20 - 10:30 | Marialetizia Mari (TRUST-IT) | Q&A | |
Part II: EMERALDS in Action - Use Cases in the Urban Mobility Domain |
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| 11:00 - 11:05 | Konstantinos Dafloukas (INLECOM) | The EMERALDS Urban Mobility Use-Cases – an Overview. | |
| 11:05 - 11:25 | Jeroen Steenbakkers (Argaleo) | Risk Assessment, Prediction, and Forecasting in Crowded Events - the case of The Hague Scheveningen, NL. | |
| 11:25 - 11:45 | Erik-Sander Smits (Arane) | Multi-modal Network Traffic Management - the case of Rotterdam, NL. | |
| 11:45 - 12:05 | Jurijs Kondratenko (Grupa 93) | Public Transport Trip Characteristics Inference and Traffic Flow Data Analytics - the case of Riga, LV. | |
| 12:05 - 12:20 | Charlotte Fléchon (PTV Group) | Transport Network Optimisation - the case of York, UK. | |
| 12:20 - 12:25 | Marialetizia Mari (TRUST-IT) | Q&A | |
| 12:25 - 12:30 | Konstantinos Dafloukas (INLECOM) | Concluding remarks | |