O-CEI at ITS European congress 2025: Driving the digital shift in smart mobility and energy-effient ports

O-CEI at ITS European congress 2025: Driving the digital shift in smart mobility and energy-effient ports

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At the 2025 ITS European Congress, the O-CEI project took centre stage during Special Interest Session (SIS) 71, highlighting its real-world impact in transforming the future of transportation and energy management through Cloud-Edge-IoT (CEI) technologies. The session brought together key project partners and industry experts to explore how digital innovation, AI, and cybersecurity are enabling smarter, more sustainable mobility systems—both on the road and at sea.

Many transport and logistics companies –  from ports to EV charging providers – face a common problem: they collect a lot of useful data, but often can’t use it fast enough to make quick decisions. Their machines and systems are controlled by basic software that can’t do much more than follow set instructions. While some are starting to use tools like AI, big data, and IoT, these are usually connected to remote servers or cloud platforms, which means there’s a delay between when the data is created and when it can be used. This delay makes it harder for companies to act quickly and efficiently. The O-CEI project is helping to solve this problem by bringing the intelligence closer to where the action happens — at the “edge” of the network. Using tools like the aerOS Meta Operating System, O-CEI helps manage and coordinate smart services locally, so that companies can make faster, better decisions right when and where they need to.

The main focus of the session was to highlight how emerging technologies and data sharing can make transportation systems more intelligent, interconnected, and energy efficient. Speakers presented concrete pilot cases across Europe, showcasing how O-CEI supports everything from vehicle-to-cloud services to port energy orchestration. This enforced the message that smart mobility isn’t a concept for the future; it’s already being implemented across Europe’s infrastructure.

Several leading voices in the O-CEI consortium shared insights.

  • Igancio Lacalle Ubeda, from Politechnical University of Valencia, the institution coordinating the O-CEI project, moderated the session, providing structure and industry context throughout the session
  • Mihail Gaianu, Continental Automotive Romania, presented the Pilot 2
  • Eduardo Garro, Prodevelop SL, introduce the Pilot 6
  • George Spanos, CERTH, presented the Pilot 7

O-CEI as backbone for Vehicle-as-a-Service

Mihail Gaianu (Continental Romania) presented how the O-CEI project supports the concept of Vehicle as a Service (VaS), using Timisoara as a site for the Pilot 2. He introduced three interconnected projects that are shaping the future of smart, secure, and efficient mobility.

The first project, XRECO, focuses on enhancing the travel experience through an AI-powered navigation and information system. This next-generation platform builds on traditional GPS by adding intelligent features that help drivers discover and explore new destinations, making travel more intuitive and informative.

The second project, SMARTY, highlights the growing importance of cybersecurity in connected vehicles. With technologies like Vehicle-to-Everything (V2X) communication and Advanced Driver Assistance Systems (ADAS) becoming more common, ensuring the security of onboard electronics is critical. Continental’s role is to protect these systems from unauthorized access and cyber threats, supporting safe and resilient mobility.

The O-CEI Pilot 2 is advancing the VaS platform by integrating high-performance computing and intelligent energy management. The goal is to improve both the performance and energy efficiency of vehicles, especially in shared, autonomous, or subscription-based mobility models. A practical example was given from Sevilla, the city that hosted the ITS-ERTICO Congress. In Sevilla, high temperatures lead to increased air conditioning use, causing faster battery drain. In this case, the system must not only find the nearest charging station but also factor in real-time traffic data to estimate how long it will take to get there, ensuring the journey remains smooth and efficient.

Together, these projects show how O-CEI and its partners are laying the groundwork for a new era of smarter, greener, and more secure vehicle services.

O-CEI in the Maritime Sector: Making Malta a Model Smart Port

Eduardo Garro presented the O-CEI maritime pilot (Pilot 4), set in Malta’s Freeport Terminal, one of the Mediterranean’s largest transshipment hubs.

This O-CEI pilot is structured across three scenarios:

  1. Vessel Energy Management: Real-time orchestration of energy storage, visualisation tools, and cybersecurity layers ensure minimal disruptions and blackout prevention during operations.
  2. Terminal Energy Management: O-CEI coordinates energy usage across terminal assets, setting operational priorities for vessel servicing and infrastructure.
  3. Residential Energy Management: Involving local homes connected to the grid of the port, this scenario tests governance models and secure, priority-based reconnection protocols during energy surges.

With support from Enemalta, Malta Freeport Terminal, Schneider Electric, Prodevelop, and Awake.AI, this pilot is positioning Malta as a leading example of CEI-powered port decarbonisation in Europe.

The Malta pilot highlights how digitalisation and the orchestration capabilities of the O-CEI project can support ports in reducing congestion and emissions, optimising energy use, and integrating cleaner energy sources. By applying smart control systems and edge computing, the pilot offers a practical path forward for modernising port infrastructure. Its successful implementation could position Malta as a leader in fostering close collaboration between municipalities, port operators, and technology providers to achieve more sustainable and efficient port operations.

Cognitive EV Charging: Smart, Private, and Secure

George Spanos from CERTH rounded out the session with insights from the O-CEI Pilot 7, built around EV charging optimisation and cybersecurity, taking place in Lombardy, Italy, a region with over 60,000 EV recharges.

In this pilot, vehicles are equipped to make intelligent, data-driven decisions about where and when to charge. This dynamic approach helps reduce energy waste, manage demand more efficiently, and ultimately supports more sustainable travel.

However, introducing this level of intelligence also brings new security and privacy risks. The team identified key concerns such as unprotected communication, potential hacking, attacks on AI models, denial-of-service incidents, and threats from malicious software updates. Privacy risks are equally pressing, including tracking user locations, profiling energy use, and exposing personal data; all made worse by the limited control users currently have over their own data.

To address these issues, the pilot integrates a set of security tools: real-time network monitoring, lightweight anomaly detection systems, and AI-based intrusion detection using deep learning. Privacy is also reinforced through the use of distributed ledger technologies (DLTs).

With partners like NOVA, CERTH, ARES, and EGAP, the pilot aims to deliver a safer and smarter EV charging experience, with potential for future expansion beyond Italy into regions like Greece.

Why It Matters

The O-CEI session at the ITS European Congress showcased how real-world pilots across Europe are actively addressing today’s complex mobility and energy challenges and how edge intelligence and orchestration can unlock efficiency, sustainability, and resilience across the transport ecosystem.

These pilots highlight the strength of the O-CEI approach: connecting heterogeneous assets, ensuring secure data exchange, and enabling real-time decisions at the edge. This aligns closely with O-CEI’s broader mission, to build a sustainable and resilient Cloud-Edge-IoT (CEI) ecosystem, fostering a smoother transition towards a cleaner energy future.​

As Europe moves toward climate neutrality and smarter infrastructure, the work being done through O-CEI provides a clear path forward, one where digitalisation is not just a tool but a driver of real, measurable impact.

Pilot 8

Heightened social engagement and acceptability of energy flexibility in urban areas

Summary

Domain
Urban

Partners
Polygones, CLEMAP, HES-SO, Val D’Anniviers

Goal
The aim is to showcase how innovative Smart IoT solutions, already deployed within networks of prosumers, can be integrated into the O-CEI platform to enhance user acceptance and engagement.

Pilot Scenarios

The aim is to develop new Smart Energy Services (SES) based on an enhanced solution.

1

Democratization of energy demand forecasting for e-vehicle charging SES

This scenario focuses on residential buildings from Meyrin, which have local grids and charging stations for electric vehicles (EVs). It enables EV owners and software vendors to optimize vehicle charging through grid insights, integrating unidirectional power flow (V1G) as well as more extended Vehicle-to-X (V2X) for energy network enhancement, with O-CEI monitoring, Smart Contracts, and new business models.

2

Advanced graph data processing and LLM for energy prediction

O-CEI Data Fabric will be employed as an information graph containing energy data and results from previous scenario, and will integrate energy data, user inputs, and AI models to forecast energy consumption and production, using edge computing, LLM models, and serverless functions for efficient data processing and collaboration.

3

Self-adaptive energy and computation continuum in distributed tourism area

Edge equipment in Val D’Anniviers will use O-CEI orchestration, cybersecurity, and Machine Learning Operations for context-aware energy forecasting, improving efficiency in villages and ski stations through decentralized analytics and continuous updates.

In all scenarios, social acceptance by design will be driven by a combination of qualitative surveys, conjoint analysis, and discrete choice experiments (DCE) optimized on edge devices.

Pilot 7

Trustworthy and secure EV charging upon reliable 5G networks

Summary

Domain
Telecom

Partners
GAP, Nova, CERTH, Ares2T

Goal
The goal of this pilot is to leverage a private 5G network and cybersecurity measures to optimize the EV charging ecosystem, improving resource balancing, reducing costs, and enabling data-driven services

Pilot Scenarios

Pilot 7 presents two complementary scenarios focused on 5G-driven EV charging.

1

Edge optimization of power flow to EV needs

This scenario transforms chargers into “intelligent” bidirectional elements, optimizing grid power flow through O-CEI microservices, data management, and 5G’s low-latency, ensuring efficient load balancing and reduced environmental impact.

2

Increasing trustworthiness and security in EV charging data exchange

The O-CEI blueprint will incorporate security measures, data sovereignty, and auditing to ensure trustworthy data flow from sensors and EVs, supporting energy balance decisions with continuous monitoring and response to cyber threats.

Pilot 6

Smart re-charging and efficiency of robot tractors in large fruit production fields

Summary

Domain
Agrifood

Partners
Garaia, Innovalia, Zettrack, Agrimac

Goal
This pilot uses O-CEI’s monitoring, data integration, and decentralized computing to optimize energy management of electric tractors in kiwi farming, reducing emissions, energy use, and addressing travel and battery cost challenges.

Pilot Scenarios

P6 introduces three scenarios aimed at enhancing the energy efficiency of agricultural operations of electric tractors.

1

Real-time energy consumption aid for agricultural decision

The O-CEI platform will provide farmers with energy optimization suggestions, managing fleet, climate, and location data. It will propose action plans for efficient area coverage and extended charging downtime, using real-time services.

2

Remote route optimization and task planning of robot tractors

The O-CEI AI-block will optimize agricultural tasks in kiwi plantations, using state-of-the-art models for efficient operations and route planning, with real-time data storage and semi-autonomic management.

3

Autonomous tractor re-charging strategy

The tractors in this pilot will optimize battery charging through edge analytics and AI predictions, either autonomously or via a farmer-controlled app, minimizing battery use, extending lifespan, and reducing costs for improved sustainability.

Pilot 5

Energetically and environmentally sustainable Halloumi cheese production

Summary

Domain
Agrifood

Partners
Green Supply Chain, Embio Diagnostics, Charalambides Christis

Goal
The pilot uses O-CEI technologies for IoT-based monitoring and energy optimization, aiming to reduce the energy footprint per kilogram of dairy product in Cyprus, promoting sustainable farming despite challenging climates.

Pilot Scenarios

Livestock farming and the dairy industry are vital to Cyprus’s economy but face significant challenges from rising energy costs and the unstable agro-environmental conditions affected by climate change.

1

IoT-Assisted Livestock Management based on Edge Intelligence and automation

The pilot optimizes energy use in stables while reducing animal heat stress, using IoT sensors and cameras for behavior classification, edge computing for HVAC control, and forecasting for efficient milk production.

2

Controlled sharing of data from various stables to the dairy production factory

O-CEI mechanisms and marketplace will securely share trusted stable data on milk quality, feed mix, and energy footprint, using AI to forecast parameters, optimize energy consumption, and improve production practices with secure data management.

3

Intelligent selection of energy mix for dairy production

This scenario optimizes cheese production’s energy sources (grid, solar, biofuel) based on demand, availability, and price, using O-CEI models and Decision Support System (DSS) to reduce costs, environmental impact, and optimize operations.

4

Calculation of energy footprint of dairy (halloumi) products

This scenario aggregates energy consumption data across the production chain, using O-CEI orchestration and IoT-edge-cloud elements to optimize energy use, enhance trustworthiness, and audit halloumi production’s sustainability.

Pilot 4

Variable demand in challenging maritime terminal landscape

Summary

Domain
Logistics

Partners
CMA CGM, Prodevelop, Awake.ai, Enemalta, Schneider

Goal
This pilot aims to optimize energy usage in Malta’s port operations by aligning demand with capacity, using edge-optimized control systems for real-time adjustments based on vessel schedules, container handling equipment (CHE) usage, and the island grid data.

Pilot Scenarios

The Malta pilot focuses on three interconnected scenarios that leverage O-CEI technologies for monitoring, prioritization, and AI-driven predictions. These scenarios demonstrate how O-CEI technologies can handle simultaneously energy management across vessels, port terminals, and residential settings to achieve a sustainable and efficient energy ecosystem.

1

Vessel Energy Management

The O-CEI platform will integrate energy flows from berthed vessels, using decentralized monitoring, IoT, and cybersecurity utilities to minimize blackouts and optimize energy control through orchestration and real-time dashboards.

2

Terminal Energy Management

This scenario integrates terminal asset energy data with O-CEI orchestration, coordinating peak power demands from Container Handling Equipment (CHE), and reefers to avoid unnecessary peaks, with individual control systems.

3

Home Consumers

This scenario replaces home electricity meters with an O-CEI orchestrated control system, managing device priorities for critical services and appliances through secure data governance and pub/sub-models of the project.

Pilot 3

Energy consumption and emission reductions in postal service fleet operation via intelligent BEV charging strategies

Summary

Domain
Mobility

Partners
Austrian Postal Service, Energie Steiermark, AVL

Goal
This pilot optimizes electric fleet operations by integrating intelligent charging, V2G, and renewable energy utilization, reducing emissions, energy consumption, costs, and enhancing grid stability.

Pilot Scenarios

The Austrian Postal Service (POST) operates 5000 electric trucks that connect to EV charging stations owned by POST or Energie Steiermark. Both the vehicles and charging stations can share data through O-CEI software services, helping to speed up the adoption of smart, sustainable energy and mobility strategies.

P3 introduces three innovative use cases designed to optimize energy consumption, enhance grid stability, and reduce emissions through the integration of O-CEI technologies. These use cases highlight how advanced energy strategies and O-CEI technologies can transform electric fleet operations and grid management, driving sustainability and efficiency.

1

Infrastructure analysis to optimize Storage Battery Systems

For this use case, we analyse the power infrastructure (PV panels, batteries, charging infrastructure), the control and communication infrastructure, and the various communication protocols. This knowledge will then be used to optimize the location and operation of stationary storage battery systems.

2

Vehicle-to-Grid (V2G) – Vehicles as Mobile Energy Storage Units

Building on the first scenario, this use case optimizes EVs as mobile storage units, utilizing O-CEI for intelligent charging, discharging, and fleet route planning, enhancing fleet resilience and battery autonomy. Among others, we will assess the economic balance of the state of health degradation of the EV battery vs. revenue generation by providing energy to the grid at market price.

3

Smart and Innovative Energy Management Systems

O-CEI will evaluate mobile storage systems, such as trucks, supporting grid peak shaving and reactive power management. A virtual power plant integrates energy delivery, billing, and regulatory data for interventions.

Pilot 2

Electricity Grid - Software Defined Vehicle for VaS in Urban Areas

Summary

Domain
Electricity Grid

Partners
Continental, FENIX2.0, ERTICO

Goal
P2 scales Continental’s innovations by integrating a Software Defined Vehicle (SDV), transforming it into an active hub for computation, data exchange, and context-aware connectivity.

Pilot Scenarios

P2 introduces four SDV scenarios, each focusing on Vehicle-as-a-Service (VaS) to address key areas of urban mobility through O-CEI-enabled technologies. These scenarios demonstrate the transformative role of SDVs as active infrastructure elements, revolutionizing safety, sustainability, energy integration, and grid optimization in urban mobility.

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.

Pilot 1

Electric Grid performance optimization upon RES integration

Summary

Domain
Energy grid

Partners
UCC, EDF, MDU, Powerledger, Smart MPower, Eko Kvarner

Goal
The pilot aims to transition towards a greener, more efficient, and resilient energy system, paving the way for a sustainable and robust energy future.

Pilot Scenarios

1

Community-Driven Renewable Energy Integration

The O-CEI project empowers prosumers/flexumers to trade energy, optimize usage, and store excess via AI-driven tools, boosting grid stability and renewable energy use.

2

Smart Thermal Load Management

Sensor data and smart controls dynamically manage heating for energy efficiency using edge computing.

3

Wide Smart Grid Optimization

Seasonal demand patterns are optimized with renewable integration and decentralized learning models.

4

EV and Heat Pump Synchronization

Synchronizing renewable energy for household appliances and EVs ensures comfort and charging availability.

5

Residential Energy Management

IoT gateways and secure O-CEI utilities empower users to monitor energy use and promote grid flexibility.

6

Advanced Load Scheduling

Proactive scheduling for appliances like electric water heaters and space heaters, will enhance grid capacity and user comfort using edge computing and robust connectivity.

Each of these scenarios highlights the role of O-CEI in creating innovative, sustainable, and resilient energy solutions tailored to specific community needs and environments.