TH2ICINO (Towards H2ydrogen Integrated eConomies In NOrthern Italy) supports the deployment of micro hydrogen economies for the EU by developing and demonstrating a full ecosystem integrated by 6 replicable use cases linked to the steps of the hydrogen value chain. The results will validate a Master Planning Tool (MPT), which replicability will be then tested. The demonstration of the hydrogen valley will work on the four pillars of the hydrogen value chain: (i) hydrogen production, (ii) hydrogen storage, (iii) hydrogen distribution, and (iv) hydrogen consumption and will send the initial status of TH2ICINO in order to enable replication and expansion. A first stage will include modelling, simulation and scenarization, from electrolysis plant to end-user in order to evaluate different scenarios and optimize them taking into consideration the technological constraints. Once the optimal cases are defined, an implementation phase will bring to real-life the innovative concept of the ecosystem tangible results to feed the MPT.

CLEVER aims to overcome barriers by developing new harmonised GHG emission factors for transport sector (freight & passenger), encompassing uncovered categories, new and conventional fuels and production paths while taking up the full energy lifecycle (Well-To-Wheel/Wake), and providing clearer guides for calculating and accounting emission factors, covering GHG emissions (CO2eq) of the entire transport chain in all modes. CLEVER Framework ensures consistent calculation of new energy carriers, remaining effective as the industry evolves, and emission calculation method for accurate, quantified and accounted emissions, ensuring policy and business relevance. CLEVER applies multi-actor approach, engaging global stakeholders through a co-design, co-creation and co-assessment process. CLEVER reviews existing emission factors derived from global sources, aligned with scientific advances and gaps identification. The Framework is a concise guide, created upon recommended input parameters, fuel/energy specifications and assumptions. It ensures a) understanding and proper application of consequential and attributional methods, b) clear boundaries calculation to avoid biases, aligning data labels and values for consistent emission factors; and c) document how fuel-based emission factors feed into default emission intensities, considering operational parameters and integration in databases. The Framework contains a) new harmonised GHG emission factors; b) common rules for calculating climate impact and c) decision tree based on these rules. This guide helps stakeholders making informed GHG emissions calculations and mitigates conflicting approaches. The Framework undergoes validation in different industrial uses through personalised coaching. For enhancing market uptake regulatory engagement, certification, standardization (ISO14083 review) and training are planned. Greater consistency and reliability of GHG calculation leads to transport decarbonization supporting EU goals.

The 2ZERO Partnership KPIs are multiple and various, relating to the three-layer approach for the Objectives of 2ZERO, as expressed in its SRIA. This proposed CSA will determine a common framework for monitoring these multiple and various KPIs (including their sources, methods and reporting formats). It will generate values for the KPIs and their expected variation for the coming decade, based upon the results of the projects being conducted within the partnership and the assessment of the impact of these projects' results. The proposed CSA will support the identification and quantification of all interactions, impacts and effectiveness of the partnership within the road transport challenge. Furthermore, the proposed CSA will provide recommendations for development and analysis of the means of measurement and evaluation of the partnership within the road transport challenge. Finally, the CSA will disseminate and communicate its results to a wide range of stakeholders, throughout the road transport sector, but also across Member States and to the public in general, via a range of media and events. The consortium undertaking the proposed CSA represents many sectors of the road transport community from multiple European countries: it will be guided by a strong Advisory Board representing a broad range of vehicle manufactures, suppliers, RTOs, operators and infrastructure providers, as well as technology partnerships, joint undertakings and other representative organisations within Europe.

MITHOS project aims to transform multimodal transport infrastructure management through an innovative AI-driven Decision Support System (DSS). Multimodal transport is crucial to advance safer, more resilient and sustainable mobility solutions for both passengers and freight. However, currently the sector faces significant challenges, including inefficient interconnections between transport modes, high operational costs, and fragmented data management. Existing tools often focus narrowly on specific modes with lack of integration, leading to suboptimal decision-making processes and they do not fulfil with FAIR principles on their data management processes. MITHOS addresses these mayor issues by developing a comprehensive and cloud-based platform that centralizes diverse data sources into a unified and intelligent Federated Smart Data (FSD) module, allowing real-time data collection and integration, which is connected to an AI-based DSS for multi-criteria optimization with an interactive HMI visualization. MITHOS framework includes a Bundle of Fundamental Tools (BFT) for enhanced simulation on multimodal infrastructure assessment and as well as to an Impact Assessment module/SAAS for evaluating the overall benefits and compliance of MITHOS´ proposed measures. MITHOS will be implemented in 4 diverse pilot sites: Bilbao, Hamburg, Vienna/Linz, and Thessaloniki in order to validate its effectiveness across different multimodal contexts/coexistence and infrastructure types. By involving real end-users in the development of this project, MITHOS aims to become the future leading global multimodal traffic infrastructure management platform, promoting safer, more efficient and sustainable transport both inside (first) and outside (second) Europe.

LENS is a project aiming at assisting enforcement authorities, cities and regulators to decrease the contribution of L-category vehicles (LVs: mopeds, motorcycles, tricycles and quadri-mobiles) to noise and air-pollution. This is achieved by developing and promoting interventions and best practices that can address the noise and pollutant emissions of current fleet vehicles and by making suggestions for regulations to improve the performance of future vehicles. Interventions for the current fleet range from vehicle measures (speed limiters, digital sealing) to infrastructure (traffic calming and restrictions), tampering detection and anti-tampering enforcement and smart apps that guide riders to adopt more environmentally and less noisy riding slides. Suggestions for regulations include the control of emissions under real driving conditions and the regulatory enforcement of anti-tampering measures. The expected impact of these measures will be demonstrated by simulations in three actual case studies in locations which are negatively impacted by the operation of LVs. An extensive test programme of noise and pollutant emissions on more than 150 LVs is proposed - including on-board, on-track and in-lab tests – to collect the necessary performance data. Portable sensor-based and mini-analyser measurement systems are being developed in the project to characterise gaseous and particulate pollutants, including nanoparticles down to 2.5 nm under actual operation conditions. A new technique based on the remote detection of gaseous emissions, nanoparticles and sound levels of singular vehicles on the road is being proposed with the aim to detect worst noise and emission LVs, including tampered ones. The technique will be deployed in 3 real-world campaigns with the intention to sample more than 3,000 LVs on the road. A smart app will be enhanced with project findings to assist riders adopt a more city-friendly riding style in terms of noise and emissions.