Supply chain visibility supported by easy access to, and exchange and use of relevant and abundant logistics-related information is an important prerequisite for the deployment of pan-European logistics solutions that are needed to increase efficiency and productivity, and to reduce environmental impact. Although there is a proliferative development of logistics-related data stores, information channels, information management systems and data mining facilities, with both international and intermodal focus, this multitude of solutions exhibits a high degree of fragmentation, due to differences in user requirements, data models, system specification and business models. This legacy situation severely hampers the optimal use of logistics-related information. To overcome this fragmentation and lack of connectivity of ICT-based information systems for logistics decision making, AEOLIX will establish a cloud-based collaborative logistics ecosystem for configuring and managing (logistics-related) information pipelines. This digital business ecosystem will create visibility across the supply chain, enabling more sustainable and efficient transport of goods cross Europe. An essential element of the approach is to ensure that for logistics actors connecting to and using the ecosystem in undemanding and has a low level of complexity. We envision the ecosystem enabling the integration of supply-chain-related transport business processes through logistics software solutions for cloud-based connectivity and interaction, in order to support more efficient collaboration in the logistics supply chain than exists today. By enabling low-complexity and low cost connectivity of local ICT platforms and systems and thereby scalable, trusted and secure exchange of information, AEOLIX will improve the overall competitiveness of goods transport in the supply chain, while simultaneously targeting sustainability from environmental, economic and social perspectives.

The transport sector is expected to alter shape in the coming decades. This transition is driven by user-centred mobility services, integrated and intelligent transport networks, pricing and payments, automation, safety and security, as well as public and private innovation. Next to Big Data and Artificial Intelligence, these developments provide major opportunities, but also increase system complexity. The overarching aim of DIT4TraM is to develop, implement and test a generic distributed control paradigm, applicable at the level of traffic operations, mobility management, demand-supply synchronisation and shared mobility, including advanced monitoring, estimation and (machine learning) forecasting technology, and associated algorithms for a variety of novel multi-modal management and mobility concepts operating at all urban scales. A holistic approach to decentralisation, distribution and mechanism design for monitoring and control is proposed aiming to achieve social optimality, yet with only necessary information exchanges, which is further translated into four key application fields corresponding to four interlaced urban scales carefully selected to ensure that all relevant challenges are tackled. Pilots in several cities across Europe are organised to test DIT4TraM concepts and assess market potential and design business models. Our vision is to support the transition to seamless and sustainable connected and autonomous mobility by disentangling the system components to the highest extent possible, yet ensuring sufficient cooperation and emergent coordination by smart system design, leading to liveability, safety, resilience, efficiency, as well as privacy, participation, fairness and sustainability on a city scale. The DIT4TraM partnership (4 Universities, 5 Industrial partners, 2 RTOs, 3 stakeholders), has been formed to address the combination of technical, organisational, and implementation challenges to develop and successfully test the proposed solution.

Over the past few years, there is one person killed and close to one seriously injured every day on level crossings. Therefore SAFER-LC aims to improve safety and minimize risk by developing a fully-integrated cross-modal set of innovative solutions and tools for the proactive management and design of level-crossing infrastructure. These tools will enable road and rail decision makers to find even more effective ways to detect potentially dangerous situations leading to collisions at level crossings, prevent incidents at level crossing by innovative design and predictive maintenance methods, and mitigate the consequences of incidents/disruptions due to accidents or other critical events. The project will focus both on technical solutions, such as smart detection services and advanced infrastructure-to-vehicle communication systems and on human processes to adapt infrastructure design to end-users and to enhance coordination and cooperation between different stakeholders from different transportation modes. The project will first identify the needs and requirements of rail-road infrastructure managers and LC users and then seek to develop innovative smart detection and communication systems and adapt them for use by all types of level crossing users. A series of pilot tests across Europe will be rolled out to demonstrate how these new technological and non-technological solutions can be integrated, validate their feasibility and evaluate their performance. The project will deliver a bundle of recommended technical specifications (for standardisation), human processes and organizational and legal frameworks for implementation. SAFER-LC will also develop a toolbox accessible through a user-friendly interface which will integrate all the project results and solutions to help both rail and road managers to improve safety at level crossings.

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).

Cars capture and generate huge volumes of data in real-time about the driving dynamics, the environment, and the driver and passengers’ activities. With greater proliferation of connected and automated mobility applications, the value of data from vehicles is getting strategic not just for the automotive industry but in a wider scope, and not limited to the onboard systems and services. 5GMETA open platform aims to leverage car-captured data to stimulate, facilitate and feed with them innovative products and services. The result of 5GMETA will empower the automotive ecosystem from industry players to new entrants, such as SMEs and high-tech start-ups granting access to interoperable car-captured data according to data licenses. The access to data coming from relevant geographical regions will catalyse the generation of new opportunities and business models coming from valuable services, where data liability and billing will rely on accountability dashboard of dataflow subscription and volume consumption. 5GMETA expands 5G network functions to enable data monetization with a secure and private pipeline that manages data computing, dataflows according to service subscriptions and geographic queries. 5GMETA will realise representative demonstrators in terms of data heterogeneity, value creation and business models to ensure that third parties and new players’ interests and requirements are considered beyond traditional automotive industries. 5GMETA will focus on technology transfer activities performing different dissemination, tutorials and hackathons to incubators and clusters to capture attention of SMEs and high-tech start-ups with a platform leading to new opportunities in an incoming profitable market.