Transportation sector undergoes a considerable transformation as it enters a new landscape where connectivity is seamless and mobility options and related business models are constantly increasing. Modern transportation systems and services have to mitigate problems emerging from complex mobility environments and intensive use of transport networks including excessive CO2 emissions, high congestion levels and reduced quality of life. Due to the saturation of most urban networks, innovative solutions to the above problems need to be underpinned by collecting, processing and broadcasting an abundance of data from various sensors, systems and service providers. Furthermore, such novel transport systems have to foresee situations in near real time and provide the means for proactive decisions, which in turn will deter problems before they even emerge. Our vision is to provide the required interoperability, adaptability and dynamicity in modern transport systems for a proactive and problem-free transportation system. OPTIMUM will establish a largely scalable, distributed architecture for the management and processing of multisource big-data, enabling continuous monitoring of transportation systems needs and proposing proactive decisions and actions in an (semi-) automatic way. OPTIMUM follows a cognitive approach based on the Observe, Orient, Decide, Act loop of the big data supply chain for continuous situational awareness. OPTIMUM's goals will be achieved by incorporating and advancing state of the art in transport and traffic modeling, travel behavior analysis, sentiment analysis, big data processing, predictive analysis and real-time event-based processing, persuasive technologies and proactive recommenders. The proposed solution will be deployed in real-life pilots in order to realise challenging use cases in the domains of proactive improvement of transport systems quality and efficiency, proactive charging for freight transport and Car2X communication integration.

This R&I action will focus on optimally combining traditional roll-to-roll (R2R) compatible fabrication technologies such as printing with unique R2R sputtering, ALD and heterogeneous integration for flexible, thin, large-area electronics applications. It is seen that the different R2R fabrication methods all have their strengths and weaknesses such that using a cost-performance-optimized combination of them for a single production will enable new levels of applicability for TOLAE devices for mass markets. The goal of the ROLL-OUT project is to create a multi-purpose technology for, thin, large-area, high-performance, smart, and autonomous systems comprising of integrated circuits (based on metal-oxide thin-film transistors), sensors, and electronics. They will be utilized in advancing the packaging, automotive interiors and textile industries beyond their traditional scope. The key features are high-performance circuits and components. To fabricate high-performance circuits, the project intends to use novel, hybrid, moderate-temperature, roll-to-roll processes, namely sputtering, Atomic Layer Deposition (ALD) and screen-printing on thin, flexible, large-area substrates. This will enable enormous value addition to the products of European industries without adding any significant extra cost. ROLL-OUT has 5 research organizations (RO) and 5 industrial partners (IND). The action has 6 work-packages (WPs) of which 3 are led by ROs and 3 by INDs. The technology development WPs are led by ROs and demonstration and exploitation WPs are led by INDs. The action intends to create 3 tangible industrial smart, autonomous system demonstrators that will be validated by the industrial partners in accordance with standard testing protocols. The action seeks EU funding of 3.66M€ for a period of 36 months. 356,5 person-months will be dedicated to the work. The consortium consists of partners from 7 EU member states with complimentary expertise essential for the action.