Electricity grids

Software Defined Vehicle for VaS in Urban Areas

1

VaS for Vehicle Safety

This scenario enhances vehicle safety with AI-driven system monitoring, OTA updates, advanced cybersecurity, and real-time technologies for the reliable, secure, and dynamic operation of embedded systems (e.g., engine management, braking, steering, infotainment)

2

VaS for Sustainability

This scenario leverages AI utilities from the O-CEI marketplace to optimize EV powertrain efficiency, minimize carbon footprints, and ensure driver engagement with sustainable, real-time feedback and seamless integration.

3

VaS for Fleet V2G Integration

 

It uses AI to optimize EV charging and energy return via Vehicle-to-Grid (V2G) capabilities, with edge and cloud software supporting fleet-wide data analysis and operations.

4

VaS for Grid Optimization

 

This scenario uses V2G, smart grids, and AI to optimize energy use, schedule charging during off-peak hours, utilize dynamic pricing, and grid balancing for sustainable vehicle interactions.

Eusebiu Catana

Driving the Future of Sustainable Mobility through Software-Defined Vehicles

We interviewed Mr. Eusebiu Catana, Head of Innovation at ERTICO-ITS Europe, about the Pilot 2. This pilot scales Continental’s innovations by integrating a Software Defined Vehicle (SDV), transforming it into

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Data Spaces Symposium 2026

Towards a European Mobility Data Space: Interoperability, Governance, and Compliance  The O-CEI project, through its partner ERTICO-ITS Europe, will support the SDV pilot integration and the link to the future

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V2G Leaders Europe

Europe is moving rapidly toward a future where electric vehicles (EVs) are more than just transport; they are dynamic, flexible assets for the energy system. The V2G Leaders Europe Summit,

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16th ITS European Congress

The landscape of transportation is rapidly evolving, with increasing reliance on interconnected machinery and the vast potential of Big Data, AI/ML, and IoT. However, a critical gap often exists: the

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