• Under Harmonise, the AI Data Warehouse, together with its first APIs and connectors, was developed as a horizontal data backbone for the project, enabling the exchange and integration of data across the different electrification, automation, connectivity and digital twin solutions.
• The Charge domain progressed towards proof-of-concept solutions for automated stationary and dynamic charging, as well as Vehicle-to-Grid (V2G) applications for autonomous electric vehicles.
• In Automate, significant advances were made in the Remote-Control Centre, Advanced Driver Assistance System and real-time planning for autonomous modular bus fleets. Initial real-world validation was achieved for the autonomous navigation system, while fleet scheduling models demonstrated the potential to significantly improve operational efficiency.
• The Connect innovations also moved closer to deployment, with sensor-based data acquisition infrastructure becoming more robust and interoperable, alongside developments in secure cloud operations, near real-time data exchange, V2X communication and intelligent road supervision.
• Under Manage & Control, new models and tools were developed to address electric vehicle scheduling, charging infrastructure planning, electric bus line planning, low-emission traffic management, mobility credits and supply-demand matching.
• Meanwhile, the Integrate & Plan domain advanced the project’s Digital Twin environments, strengthening their capacity to support planning, monitoring and decision-making processes.

D2.2 demonstrates how the metaCCAZE innovations have progressed from concepts and prototypes towards tested and increasingly mature solutions. These developments provide a common technological foundation for deploying flexible, open and robust Zero-Emission Shared Mobility (ZESM) solutions, while also supporting the project’s broader objectives related to sustainable urban mobility, digitalisation, and collaborative business and governance models.