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.

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.

Considering Artificial Intelligence (AI) capabilities and potential risks, and taking into account its limitations, AI4CCAM will develop an open environment for integrating trustworthy-by-design AI models of vulnerable road user behaviour anticipation in urban traffic conditions, and accounting for improved road safety and user acceptance. Leveraging the Trustworthy AI guidelines for general intelligent software systems and the ethics recommendations for connected automated vehicles, AI4CCAM will support AI-based scenarios management in which pedestrian/cyclist behaviour anticipation models will integrate visual gaze estimation and where explainable ego car trajectory prediction models are simulated with ethical dilemmas and multiplied with generative adversarial networks and metamorphic testing techniques. The AI4CCAM open environment will include an interoperable digital framework for managing and generating AI-based urban-traffic scenarios in which trustworthy-by-design AI models can be tested and an online participatory space to foster acceptance of AI in automated driving, determine AI risks and identify biases in datasets and cyber-threats. Simulation scenarios of road users interacting with automated vehicles will be developed and evaluated in three complementary use cases covering the whole sense-plan-act paradigm and user acceptance. As such, the project will advance knowledge in building trustworthy-by-design AI-based solutions for CCAM applications.