CCAM-ERAS aims to build towards the future and address the transition to connected, cooperative and automated mobility (CCAM) from a socio-economic perspective. The project will develop the necessary knowledge and prepare for the possibilities that potentially will arise from the deployment of CCAM, and will aim to increase knowledge regarding the necessary skills required for CCAM deployment. CCAM-ERAS will take advantage of the possibilities arising from CCAM deployment, by envisioning a future whereby CCAM can contribute towards a more attractive and inclusive labour market by providing solutions to ensure that the relevant skills are available and are able to be up scaled across the entire CCAM value chain. Mitigating the resulting effects of introduction of CCAM requires multi-sectoral knowledge and cooperation between what were previously separate sectors (transport, technology, education etc.) CCAM-ERAS will develop new approaches and solutions to anticipate and mitigate the impacts and rebound effects on potential job losses and job relocations due to the deployment of road based CCAM systems and services, as well as boost innovation capabilities through the availability and upscaling of CCAM-specific professional skills. Schemes and actions that can contribute to the specific labour market challenges will be developed, in relation to specific 'real world' use cases. CCAM-ERAS will also identify innovations and key innovators relating to CCAM deployment, particularly those relevant to the employment, socio-economic and skills effects Including various stakeholders in the project activities will be crucial in achieving credibility and support for the results of the project. The development of a roadmap to support the socio-economic transition to CCAM will contribute to the legacy of the project. CCAM-ERAS therefore offers a set of building blocks that pave the way for a smooth transition to CCAM deployment over the short, medium, and long term.

AIGGREGATE addresses the critical challenges of automated driving by enhancing safety, resilience, and human-like control in CCAM (Connected, Cooperative, and Automated Mobility) systems. While AI has advanced many driving functions, complete automation still faces significant hurdles, particularly in complex and dynamic traffic scenarios. AIGGREGATE will bridge these gaps by developing an integrated solution for the entire action chain for collective decision-making, using hybrid intelligence and human-like control. By integrating external data from vehicles, infrastructure, and other sources (V2X), the project will create a resilient collective situational awareness that goes beyond mere perception, and will include a comprehension and understanding of the traffic environment. This enhanced awareness will feed into algorithms for predicting the behaviour of road users (including the driver and VRUs) and collective decision-making. Combined, these solutions allow automated systems to anticipate and adapt to the actions of other road users, even in complex urban traffic. The user-centric design and ethical framework will ensure a human-like control which increases the acceptance. The project will develop new functionalities for automated driving, focusing on complex, real-life scenarios that require the integration of external data. This approach marks a shift from traditional systems reliant on onboard sensors only towards collective perception and decision-making. The project includes a development platform for the integration of software and physical demonstrations. The project partners include the Eindhoven University of Technology as the coordinator, along with Vicomtech, TNO, KU Leuven, University of Warwick, RWTH Aachen, IDIADA and CERTH as research partners, Infineon, Valeo France and Germany, Continental and MAPTM as industrial partners, and PAVE to support the dissemination.

CCAM solutions face a significant challenge characterized by decreased societal demand due to their difficulty in effectively conveying their advantages within existing mobility systems and adapting to the diverse environments where citizens live, work, and conduct their daily activities. Diversify-CCAM has the clear objective to promote fair and accessible mobility in European regions by integrating cultural, geographical and policy aspects into the design, development and implementation of CCAM solutions. This initiative encompasses 6 European countries (Czech Republic, Greece, Italy, Germany, Spain, Sweden), collectively hosting 12 pilot sites dedicated to data collection and evaluation. In each country, there are two distinct areas under examination: one focusing on mobility of people within urban environments equipped with existing CCAM solutions and another focusing on mixed transport (people and small goods) solutions within rural or touristic areas primarily reliant on private cars. Diversify-CCAM will deepen our understanding of the diverse social contexts that influence the acceptance, adoption, and utilization of CCAM. Moreover, the project will study the surmount challenges and barriers hindering the effectiveness of shared services, especially in regions with unique geographical and cultural demands. The methodological approach involves the engagement of various user groups and stakeholders at the local level, extending their involvement to the European and international spheres through PAVE and our distinguished Stakeholder Board. This multifaceted involvement aims to positively influence public perception and reimagine the overall design and offerings of CCAM solutions. Ultimately, the project will develop a CCAM Diversification Tool (CCAM D-Tool) for transportation planners and a CCAM Diversity Observatory for the entire CCAM value chain, both focusing on achieving inclusiveness and equity within the European mobility ecosystem.

AUTOSUP will drive the industrial transition to seamless multimodal automatic freight transport and enhance the operation of hubs as nodes in a Physical Internet logistics network. A multidisciplinary team of 17 partners including four organisations engaging in the activities their ecosystems of Transport and Logistics stakeholders will: • Define automation requirements for seamless multimodal automatic freight transport. • Empower stakeholders with an open, ready-to-use data-driven Decision Support System to help them implement and deploy automated processes and solutions and make strategic decisions about future investments. The systems will support undertaking feasibility studies via simulation to assess the efficiencies and impact of new solutions, whilst considering sustainability, financial and social impacts. • Support the transition path to automation in two Living Hubs (Antwerp and Trieste ports), focusing on the link of the two large transport nodes with road corridors, rail, inland waterways and airports, covering 6 diverse use cases. • Design new operational, governance and organisational change management models for autonomous logistics that incentivise cross-mode collaboration and reduce investment costs. • Validate operational and cost efficiencies of solutions via feasibility analysis, impact assessment and the engagement of representative stakeholders. • Establish a strategic and cohesive alliance and thematic working group for the alignment of multimodal automation adoption roadmaps across rail, road, aviation, waterborne and alternative innovative modes of transport and contribute to lowering automation adoption barriers through comprehensive transition guidelines, capacity-building sessions and policy recommendations. AUTOSUP integrates social innovation practices in research to foster automation adoption and enhance safety, accounting for the workforce dynamics and skills needed for the transition to autonomous operations.

GOLIA will work on an integrated, interdisciplinary and Adaptive Mobility Smart Governance Model, relying on data-based, social optimum-driven approach and inclusive policy making processes to ensure an adaptive, accessible and just mobility system. By relying on the integration of STEM and SSH expertise and approaches, GOLIA will revolutionize spatial and mobility planning by co-developing and testing (with three European communities) the vision-led Social Optimum Mobility Index, based not only on economic variables but also on indicators such as social support, healthy life quality, freedom to make life choices. The index will be location and time-dependent to enable dynamic management of transport offer and spaces. GOLIA also aims at understanding: - to which extent and under which conditions, data generated by Smart Cities supported by AI-based tools and - novel communication and consultation channels and methodologies to engage citizens and stakeholders beyond mobility practitioners might foster the establishment of a new inclusive and adaptive mobility governance, able to deliver policies resilient to political instability, pandemics or any other more or less disruptive event, as they are co-developed, co-designed, and co-monitored by and for citizens and firms. Finally, GOLIA will support European mobility communities in ensuring a Sustainable digital and green transition, by providing policy makers with tools, methodologies and evidence-based recommendations to align local, regional and national transport and mobility plans to the European Green Deal and Sustainable Development Goals, enabling the gradual phase-out from car-dependency.