The aim of the project is to build a collaborative capacity community and deployment programme to support public and private stakeholders in the implementation of ITS (C-ITS) with training and educational resources which enable knowledge transfer about the benefits and deployment of ITS. The project will assist public and private stakeholders in developing their knowledge, skills, and abilities to build technical, business and policy making proficiency of ITS deployment while furthering their career paths.

The overreaching goal of KEYSTONE is to support the development of a sustainable, efficient, and safe transport system, allowing enforcement authorities to access data for the purpose of checking compliance with rules applied in the transport of goods and passengers. The aim is to tailor standardised digital solutions that can be used from several realities to standardize the transport system. To demonstrate the validity of the solutions proposed, an app will be developed so that two highly diverse pilots can prove the efficiency of the KEYSTONE’s innovation. Using the gained experience to develop a seamless, interoperable, and intermodal digital transport ecosystem that can be replicated at European leveThe overreaching goal of KEYSTONE is to support the development of a sustainable, efficient and safe transport system. Allowing enforcement authorities to access data for the purpose of checking compliance with rules applying in the transport of goods and passengers. The aim is to tailor standardised digital solutions that can be used from several realities in order to standardize the transport system. In order to demonstrate the validity of the solutions proposed, an app will be developed so that two highly diverse pilots can prove the efficiency of the KEYSTONE’s innovation. Using the gained experience to develop a seamless, interoperable, and intermodal digital transport eco-system that can be replicated at European level. The KEYSTONE digital solutions consists of standardised APIs for data and information sharing between transport enforcement authorities and logistics operators based on a federated approach allowing to reduce the costs of logistics thanks to more efficient operations and interoperability, to reduce the impact on the environment thanks to data sharing, the possibility to consolidate flows and to improve safety thanks to seamless information exchange with enforcement authorities and the possibility to foster the acceptance of the CCAM solutions.

Despite technological breakthroughs in connected and automated transport, the total transformation of existing transportation into a fully autonomous system is still decades away. In the meantime, mixed traffic environments with semi-autonomous vehicles proactively passing the dynamic driving task back to the human driver, whenever system limits are approached, is expected to become the norm. Such a Request to Intervene (RtI) can only be successful and met with trust by end-users if the driver state is continuously monitored and his/her availability properly evaluated and sufficiently triggered (through tailored human-machine interfaces - HMIs). In parallel, driver training has to evolve to account for the safe and sensible usage of semi-automated driving, whereas driver intervention performance has to be made an integral part of both driver and technology assessment. Besides, the ethical implications of automated decision-making need to be properly assessed, giving rise to novel risk and liability analysis models. The vision of Trustonomy (a neologism from the combination of trust + autonomy) is to maximise the safety, trust and acceptance of automated vehicles by helping to address the aforementioned technical and non-technical challenges through a well-integrated and inter-disciplinary approach, bringing domain experts and ordinary citizens to work closely together. Trustonomy will investigate, setup, test and comparatively assess, in terms of performance, ethics, acceptability and trust, different relevant technologies and approaches, including driver state monitoring systems, HMI designs, risk models, and driver training methods. This will be done through both simulator and field based studies, in a variety of autonomous driving and RtI scenarios, covering different types of users (in terms of age, gender, driving experience, etc.), road transport modes (private cars, trucks, buses), levels of automation (L3 - L5) and driving conditions.

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.

IN2CCAM consortium, according to the vision of Horizon Europe framework programme from 2021-2027 that aims to accelerate the implementation of innovative CCAM technologies and systems for passengers and goods, intends develop, implement and demonstrate innovative services for connected and automated vehicles, infrastructures and users. The goal is providing benefits to all citizens by implementing a full integration of CCAM services in the transport system. The main expected positive impacts for society are: i) safety (i.e., reducing the number of road accidents caused by human error; ii) environment (i.e., reducing transport emissions and congestion by smoothening traffic flow and avoiding unnecessary trips); iii) inclusiveness (i.e., ensuring inclusive mobility and good access for all). To this aim the approach is based on the implementation and integration of enhanced Physical, Digital and Operational Infrastructures to enrich CCAM services and increase safety and traffic efficiency. A set of physical, digital and operational solutions will be proposed and implemented in 4 Lead Living Labs (LLs): Tampere (Finland), Trikala (Greece), Turin (Italy) and Vigo (Spain). Moreover, two Follower LLs will collaborate in the design phase by providing ideas and data assessed by simulation test and validation: Bari (Italy) and Quadrilatero (Portugal).