AI4CCAM will be joining the Workshop on Trustworthy AI on 25-26 March 2025 in Frankfurt, organised by the CONNECT European project, and co-organized by REWIRE.
The development of trustworthy AI systems is one of the most pressing priorities in today’s digital landscape. As AI technologies become deeply integrated into critical sectors such as 6G, transportation, and healthcare, ensuring their reliability, transparency, and alignment with fundamental rights is paramount. AI regulation and standardization efforts have increasingly emphasized the need for robust frameworks that ensure ethical and transparent AI deployment.
This workshop will feature three key panel discussions with leading AI experts for creating a roadmap for overcoming key challenges in data governance, quality assessment, and bias mitigation throughout the AI lifecycle.
AI4CCAM will be represented by Karla Quintero, SystemX, at the Panel focusing on Trustworthiness Assessment of Data in CCAM.
For further detail, click here
On 18 March, the semi-annual General Assembly of the SINFONICA project was held in Paris at the headquarters of IRT SystemX, also partner in AI4CCAM.
For the occasion, a workshop has been organised to present the solutions and tools SINFONICA is implementing to foster a deployment of CCAM in public transport that is inclusive and accessible for all. During the event it will also possible to test the beta version of the “Knowledge Map Explorer,” an online tool for considering social issues such as accessibility, inclusion, and equity in the planning of road public transportation using connected or automated vehicles (shuttles, buses).
IRT SystemX also showcased the tools created within the AWARE2ALL and AI4CCAM projects.
On 24 March 2025, the FAME project (Framework for coordination of Automated Mobility in Europe) will host its 3rd workshop focusing on projects and international collaboration and AI4CCAM will be among the invited panelist!
The event will be a great opportunity to exchange results, best practice and lessons learnt. This supports one of FAME’s main objectives, i.e. to engage and enhance collaboration, consensus building and data sharing within the CCAM stakeholder community.
The mission of FAME is to establish a European framework for testing on public road, enable evaluations with common methodology, engage an active community of stakeholders across the complex cross-sectorial value chain, and capitalize on shared knowledge, to improve cooperation, consensus building and data sharing for CCAM testing and large-scale demonstration activities in Europe.
Before breaking into discussion groups on Societal acceptance, International cooperation, Data and vehicle technologies, a panel discussion will be held with representatives from the “first wave” of CCAM Partnership projects across the different clusters, to share their lessons learnt on various aspects, which can benefit to the more recently started projects, or upcoming ones in future calls.
AI4CCAM will represent Cluster 5 thanks to Arnaud Gotlieb, Simula Research Laboratory, the project coordinator; while Marc Eynaud, BVA Group, will join the discussion on user acceptance.
For further information, click here
The first webinar of the EU Road Safety Cluster, held on 25 February, was attended by more than 90 stakeholders and highlighted the complex road safety challenges of pedestrians, cyclists and other vulnerable road users (VRUs) and the potential solutions of the six cluster projects.
Road safety has different facets, including prevention, infrastructure investment, communication between different road user groups, as well as modelling, AI, and satellite-based solutions. Even though all six cluster projects have the same aim of reducing crashes and fatalities, each of the projects presented a different angle in a short presentation and discussion format:
SOTERIA, presented by University of Deusto. The project aims to use novel data solutions to identify near misses and other actions around unsafe locations by utilising vehicle-, cell phone and micro-mobility data that is used by linear models and deep learning solutions.
PHOEBE, presented by iRAP, develops an integrated, dynamic, human-centred predictive safety assessment framework by bringing together traffic simulation, road safety assessment, data concerning human behaviour and mode shift, and demand modelling of new and emerging mobility data. The results will be a blueprint for other European cities to develop their knowledge products, such as socioeconomic analysis models, urban road safety assessments, and human behaviour and choice modelling.
AI4CCAM, presented by Simula Research Lab. As its name suggests, AI4CCAM uses a holistic approach to AI to assess automated driving and its user acceptance, which is fostered through user-centric aspects, including citizen-participation structures. The latter is supported by an online Participatory Space, which was launched recently.
HEIDI, presented by Virtual Vehicle Research, enhances the communication between the vehicle and vulnerable road users, such as cyclists or pedestrians, by conveying information to both sides of the vehicle (inside & outside). The research will help to facilitate the shift from manually driven passenger vehicles to automated vehicles. HEIDIs solutions guarantee that all road users have the same understanding of the situation and ensure safe interaction between vehicles and vulnerable road users.
FRODDO, presented by National Technical University of Athens, is advancing automated and connected mobility by developing safer, smarter, and more adaptable transportation systems using advanced sensing, AI, and digital twin simulations. It focuses on creating a resilient and scalable framework for automated vehicles while prioritising user safety and societal impact.
EVENTS, presented by ICCS, focuses on challenges that arise when Connected and Automated Vehicles (CAVs) encounter complex situations that could disrupt their normal operation, such as dynamic traffic changes, harsh weather, sensor failures, or unstructured roads. These challenges include improving perception in adverse conditions, accurate trajectory prediction, reducing sensor costs, and enhancing self-assessment of perception systems to ensure safe and reliable automated driving.
Watch the webinar recording!
Beginning of February, AI4CCAM launched its Participatory Space, an open, interactive hub for exploring the role of AI in Connected, Cooperative, and Automated Mobility (CCAM).
The Participatory Space is constantly updated. In particular, the AI4CCAM Glossary was recently added.
The aim is to include capital and common terms used in the AI4CCAM project with the involvement of different CCAM stakeholders. The process will consist of proposals of terms to be included along their definitions. Later on, discussions about the correctness of these definitions take place. Results are monitored and agreed definitions are incorporated to a document that represents the glossary.
The glossary is dedicated to the connected, cooperative automated driving field and it has been established according to the taxonomy created as part of the FAME project. The main goal of this taxonomy is to establish a standardised terminology classification for CCAM.
Find out more about the AI4CCAM Glossary
Find out more about the Participatory Space
Loic Cantat, IRT SystemX, will be representing AI4CCAM at the next edition of the RTR Conference, the event on results from road transport research, held 11-13 February in Brussels, Belgium. AI4CCAM will be presented on 13 February, during the session on “CCAM enablers”.
400 participants are expected to participate in the 2025 RTR Conference. Going on its 8th edition, the RTR Conference is a unique entry point into the achievement of EU-funded projects in road transport. Once again this year, participants will learn about Horizon 2020 and Horizon Europe projects’ results and expected impacts, and what the next research steps are in essential areas for road transport: Green Vehicles, Urban Mobility, Logistics, Intelligent Transport Systems, Safety, Automated Road Transport. The conference will deliver a holistic view of how the European research scene is moving forward in these fields, bringing benefits to the environment, economy, and European society overall.
During his AI4CCAM presentation, Loic will touch the project key points:
- A tooled methodology to generate simulations for VRU scenarios
- A digital framework to integrate AI4CCAM tools and share with other CCAM initiative
- Scientific contribution to improve #AI Models for better AV and ADAS
- A Participatory Space and handbook to evaluate user acceptance
For further detail and to participate, click here
Artificial Intelligence (AI) is transforming mobility, but how well do we understand it? How much do we trust it? AI4CCAM is taking a bold step forward with the launch of its Participatory Space—an open, interactive hub for exploring the role of AI in Connected, Cooperative, and Automated Mobility (CCAM).
AI4CCAM supports Europe’s vision of green, smart, and affordable mobility by fostering innovation and the responsible use of AI in CCAM. For this to succeed, it is essential to assess AI acceptance in automated driving, identify risks, and uncover biases – both of interest to experts and the society.
Why join the Participatory Space?
This space is more than just a source of updated information—it’s a collaborative hub where your voice matters. By participating, you help shape discussions, share unique viewpoints, and engage with others who are equally passionate about the topic.
The Participatory Space provides a valuable opportunity to:
Stay informed – Get the latest insights on AI in CCAM, from ethical concerns to cybersecurity challenges.
Explore and evaluate – Engage with real-world scenarios and simulations to gauge and improve AI systems in connected and autonomous vehicles (CAVs).
Share and learn – Exchange perspectives, provide feedback, and contribute to the evolving CCAM knowledge base.
By participating, you help AI4CCAM assess the public perception and acceptance of AI in mobility, thus shaping trustworthy and effective AI systems for the future.
Join and be part of the change! Enter AI4CCAM Participatory Space!
On 30-31 January, AI4CCAM partners came together for the latest General Assembly meeting in Montpellier, hosted by project partner LIRMM (Laboratoire d’informatique, de robotique et de microélectronique de Montpellier).
This latest General Assembly comes at a crucial time for the project which just hit its second-year mark. Project partners got an update on all the different innovations within the project and what is to come in the final year.
A highlight was an impressive four demonstrations that have been developed within AI4CCAM by project partners. Participants were led to the robotics lab at LIRMM for the demos which featured different virtual reality experiences putting participants into a virtual world and interacting with vehicles. There were also video demonstrations of the work done in the project regarding the use of AI for autonomous vehicles.
Another highlight was the panel discussion on AI4CCAM Heritage which focused on the impact of the project and its future for CCAM. BSC, TERA and project coordinator Simula all took part in the discussion and a Q&A with partners on the future of AI4CCAM and how it fits into the area of AI in automated mobility.
Finally the meeting included a keynote lecture by the esteemed AI researcher Professor J.G. Ganascia who delivered his talk on “The braided structure of time in AI and information technologies” which also led to a lively Q&A with the audience.
Also part of the meeting was a series of interviews and videos filmed of our demos for a future project video. Stay tuned for more on this soon.
A special thanks to Professor Ganascia for joining AI4CCAM at this meeting and his talk, and to LIRMM for hosting this successful General Assembly!
In October 2024, AI4CCAM entered a cluster of EU-funded projects, formed to revolutionise road safety, automated mobility, and the interaction between drivers and vulnerable road users. Along with AI4CCAM, four more ambitious initiatives – HEIDI, EVENTS, PHOEBE, and SOTERIA – joined the cluster to develop cutting-edge solutions addressing the growing complexity of urban transport systems. Recently, also the FRODDO project joined the cluster.
The cluster is especially focused on “Road safety in complex urban environments”, to promote a safe, inclusive, and sustainable mobility system that is resilient, trustworthy, and road user-centric. Read more.
AI4CCAM and the whole cluster are happy to announce that a first webinar on Road Safety will be held on 25 February 2025, 14.00-15.00 (CET). The aim of this hour-long webinar is to give the audience an initial glimpse into the innovative solutions addressed by the cluster’s projects through short spotlight presentations. It will be followed by an expert discussion on current urban road safety challenges. The webinar will also provide opportunities for the audience to join the conversation:
Host: Andréia Lopes Azevedo, Polis Network
Speakers:
AI4CCAM project: Arnaud Gotlieb, Simula Research Lab.
EVENTS project: Bill Roungas – Project Manager, ICCS
HEIDI project: Paolo Pretto, Virtual Vehicle Research
PHOEBE project:James Bradford, iRAP Global Technical Director
SOTERIA project: Antonio D. Masegosa, University of Deusto
Save the date and register here!
