CHORUS aims to tackle the complexities associated with road safety and efficiency in the transportation system by providing a unified, multi-actor orchestration framework within the Connected, Cooperative, and Automated Mobility (CCAM) ecosystem. This innovative project leverages the benefits of CCAM technologies while ensuring alignment with EU directives and standards, particularly those focused on sustainability and safety. The initiative will deliver cutting-edge solutions through a multi-layer architectural framework that will be deployed across seven demonstration sites, each selected to reflect diverse urban mobility challenges and opportunities.CHORUS will focus on several key objectives to enhance urban mobility systems. First, it will work to seamlessly integrate diverse transport modes of transportation of people and goods under the co-existence of AVs and conventional vehicles, including public transportation, cycling, and ridesharing services, fostering an efficient, safe, and accessible urban mobility environment. Second, the project will enable data-driven, AI-enabled traffic management systems that allow for active data exchange in a secure and collaborative environment, supporting real-time decision-making for traffic management and AVs operation, and reducing traffic inefficiencies. Third, CHORUS will enhance the user experience through personalized travel recommendations and real-time updates, empowering users to make informed transportation choices. Furthermore, the project aims to promote innovation by encouraging collaboration between public and private sectors at both governance and operational levels, driving technological advancements within the CCAM landscape. Lastly, CHORUS will assist cities in effectively reducing traffic congestion and its associated costs while improving overall mobility efficiency, thereby contributing to European sustainability and climate goals.

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.

The overall objective of the NEWBITS project is to provide with a deep understanding of the changing conditions and dynamics that affect and/or influence C-ITS innovations. New KPIs will be designed to feed reactive and network oriented value creation propositions that improve the collaborative decision-making process across the various stakeholders. This improved value definition must minimize the failures inherent to (C-) ITS innovation diffusion, evolve present business models, and identify effective incentives to accelerate (C-) ITS deployment. To support its main goal, the project proposes to apply a business ecosystem approach for (C-) ITS which acknowledges the context of economics of networks by introducing a higher conceptual level than that of individual organisations, focusing at how organisations create value within the context of the networks in which they interoperate. NEWBITS consortium will design and implement a holistic intelligence process that will gather key information and indicators on market, demand, stakeholder’s involvement and innovation diffusion for ITS and C-ITS. Furthermore, the project will develop a tailored application of the Value Network Analysis (VNA) business modelling method, which enables to model value networks, either internal or external to the organizations acting in the business ecosystems. NEWBITS method will be applied at macro-level (ITS and C-ITS context and market) and the meso-level (upon 4 pre-selected case studies). NEWBITS will configure Communities of Interest to foster a fully integrated network approach to the business modeling and develop a web-based network platform to support the project approach. NEWBITS will formalise the enhanced understanding of the potential system benefits and fundamental economics of new business models suited to C-ITS in the European context, and develop relevant outcomes to support policy measures towards C-ITS deployment.

SocialCar is an Intelligent Transport System based on an innovative approach to transport demand management, and more specifically to carpooling in urban and peri-urban areas. SocialCar’s main objective is devopping a new communication network for intelligent mobility, sharing information of car-pooling integrated with existing transport and mobility systems. It will be achieved by means of powerful planning algorithms and integration in a liveable environment of big data related to public transport, carpooling and crowdsourcing in order to provide the final user with a simplified travel experience allowing comparison and choice between multiple options/services. SocialCar will take advantage Social Media to communicate, share information and provide the best just-in-time notifications to the travellers. SocialCar will take advantage of the ever growing connectivity of people and objects and the propagation of Internet services, the potential of Future Internet and the availability of GNSS based location and social media to create an integrated mobility service with the potential to sensibly reduce mobility problems of European citizens. SocialCar will capitalise on a strong pan European team with a solid background in social, psychological and economic sciences, the involvement of 10 European urban sites will prove the concepts' validity and business case. SocialCar General Objectives are to: • contribute to the EU2020 targets on energy efficiency and renewable energy sources reducing congestion by improving and maximising connectivity and information in real-time • overcoming the limitations of current carpooling practices moving from long trips to effective urban and peri-urban use • validate green driving support systems, active management based on European GNSS • identify a suitable big data management architecture for integrating mobility data • produce a city-based open integrated mobility repository of public transport and traffic city-based data