The EC-funded FAME project’s Knowledge Base is a centralised hub for information pertaining to connected, cooperative, and automated mobility (CCAM) in Europe and beyond. In the dynamic landscape of CCAM, sharing knowledge, data, and experiences is paramount for the development of testing and piloting activities. ERTICO, as coordinator of the FAME project, is deeply committed to the European strategy, supporting sustainable and smart mobility across different modes of transport. Notably, ERTICO’s 2035 CCAM roadmap emphasises the integration of cooperative and automated approaches into existing transport systems, including public transport networks.
By consolidating various knowledge sources, the Knowledge Base empowers stakeholders to gain a holistic understanding of the future impacts of road automation. It builds upon results and lessons learned from previous research, supporting future research, development, and testing of CCAM solutions, and the evaluation of their wider impact.
ERTICO Partner ICCS leads the task of managing the Knowledge Base in the FAME project. Supported by several partners in the project consortium, ICCS is currently working on a significant content reshuffle in the various sections to ensure not only that the latest information is reflected in the Knowledge Base, but also that it is accurate and relevant.
R&I Projects: Tracking Innovation
In the R&I projects section, you will discover a non-exhaustive list of more than 400 Research and Innovation (R&I) projects and demonstration activities related to CCAM. This listing encompasses both European and national programmes, featuring ongoing and completed projects since Framework Programme 7. It allows filtering projects per start-end dates, locations of pilot sites, funding types, and thematic areas, issues or functionalities addressed. This enables stakeholders to stay informed about the latest advancements and breakthroughs in the realm of CCAM and to identify projects and activities focusing on specific or similar issues and topics.
Regulations and Policies: Navigating Legal Landscapes
The Regulations and Policies section acts as a central repository for regulations and policy initiatives concerning connected and automated vehicles. Here, stakeholders can access insights into current regulatory requirements and guidelines for testing connected and automated vehicles on public roads. The section provides an overview of European and national regulations, along with design and validation guidelines specific to Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) technologies.
Guidelines and Evaluation Methodologies: Advancing Evaluation Practices
The Guidelines and Evaluation Methodologies section provides resources such as the Common Evaluation Methodology (CEM) and the CCAM Taxonomy developed by the FAME project. These materials offer guidance for evaluating direct and indirect impacts of CCAM, promoting harmonisation and enhancing comparability across projects. The FAME project is currently finalising the first draft of the Common Evaluation Methodology (CEM) for CCAM (which will become available in May 2024) providing guidance on how to set up and carry out an evaluation or assessment of direct and indirect (wider socio-economic) impacts directed to different user groups.
Standards: Maximising the impact of emerging technologies
Recent enhancements to the Knowledge Base include updates to the Standards section, introducing new features for improved navigation and accessibility. Presently, the evolving standards list comprises 331 entries and undergoes continuous updates to include the latest standards pertinent to the CCAM field. Among the notable enhancements are the introduction of three new technology domains: big data, ethics, and infrastructures. This feature provides users with a more focused approach to exploring the extensive repository of standards. By delving into specific technology domains, users can uncover standards tailored to their areas of interest and expertise.
Additionally, significant attention has been given to refining search capabilities. The implementation of a filter by “scope” allows users to refine their search results based on specific focus areas and applications of the standards they seek. A direct link to the standard is also included, enabling users to access further details or directly download the standard. Additionally, users can easily identify the most recent iterations of standards with the inclusion of version details. This ensures users stay abreast of the latest updates and revisions, guaranteeing access to the most up-to-date information.
Data Sharing: capabilities in a CCAM test data space
Research and development projects on public roads yield valuable datasets that could prove beneficial for other organisations and purposes beyond the initial project scope. As a result, there is a growing interest in data sharing to maximise the utility of the extensive data collection efforts. In order to facilitate broader utilisation of the amassed test data, the Data Sharing section has introduced a framework, published in early March 2024.
FAME will demonstrate the capabilities of data spaces through a CCAM Test Data Space. To establish initial requirements and concepts, the Data Sharing Framework has been extensively updated, with federated data sharing now a key component. These updates encompass all chapters, incorporating relevant content and revising sections outdated due to advancements in data exchange, standards, and legal considerations.
Overall, the Knowledge Base empowers stakeholders by consolidating various knowledge sources, facilitating a comprehensive understanding of the future impacts of road automation. The above-mentioned sections, together with a constant update of news & events, VIP Blog and the newsletter support the exchange of data, knowledge, and experiences crucial for advancing connected, cooperative, and automated mobility (CCAM) in Europe and beyond. By leveraging insights and lessons learned from past research, it supports future endeavours in research, development, and testing of CCAM solutions, as well as the evaluation of their broader implications.
