Formed of three discrete workstreams, the FINE-2 project will investigate means of enabling Integrated Mobility Management (I2M), saving Energy, and reducing inconvenient and disruptive Noise and Vibration (N&V) within the Rail Sector. As a Cross Cutting Activity of the Shift2Rail Programme, FINE-2 will work alongside multiple existing projects to achieve more impactful results through collaboration and shared learning. The I2M workstream will help to enhance the business case for intermodal freight transportation by tackling many of the issues present today, such as accurate ETA, control of hazardous material, and reduced resource waste. I2M will also look at improving Rail Operations through the new forms of data combination and representation. The Energy workstream will develop tools to help understand the energy saving potential, thus Whole Life Cost benefits, of specific enhancements within the industry. It will also optimise tunnel resistance characteristic methodologies, and seek to enhance energy norms to reflect existing state of the art and future developments. Finally the N&V will develop and enhance existing models and simulation tools from across the S2R programme to better understand the source of external noise, whether the train is at standstill or in motion, to help pinpoint the means of reducing it.

The IN2TRACK2 proposal addresses the topic of “Research into optimised and future railway infrastructure” of the 2018 HORIZON 2020 SHIFT2RAIL Call for proposals for the Joint Undertaking Members (S2R-CFM-IP3-01-2018). IN2TRACK2 deals with rail infrastructure sub-system and covers all the works on Switch & Crossing (S&C), Track and Structures (Bridges and Tunnels) included in the SHIFT2RAIL Innovation Programme 3 (including the project IN2TRACK) and contributes to the full longer-term SHIFT2RAIL objectives. IN2TRACK2 represents the opportunity to choose some high-risk, innovative activities from the current SHIFT2RAIL work programme for development under intensive collaboration as the right path for success. IN2TRACK2 aims to reduce lifecycle costs, improve reliability and punctuality, whilst increasing capacity, enhancing interoperability and improving the customer experience. The structure of the work plan is designed around the development of a certain number of well-focused technological innovations in several areas (S&C, Track and Structures), each and all together, will contribute to achieve the desired impact at the overall railway system level. The IN2TRACK2 proposal is organised around three technical sub-projects, which are interconnected: S&C, Track and Structures. S&C activities aim at both improving the operational performance of existing S&C and providing radical new S&C system solutions that deliver a step-change in performance of the asset. The IN2TRACK2 Track activities aim at both exploring new track construction to optimise the today track system and improving the track system substantially to provide a step change in performance. The IN2TRACK 2 Bridges and Tunnels activities aim at improving methods and repair techniques to reduce costs, improve quality and extend the service life of structures. By enhancing S&C, Track and Structures, IN2TRACK2 contributes to all of the expected impacts identified in the Shift2Rail Annual Work Plan 2018.

IN2SMART represents the 1st proposal of the Shift2Rail members referred, according to MAAP, to the following Technology Demonstrators (TDs): TD3.7 Railway Information Measuring and Monitoring System (RIMMS), TD3.6 Dynamic Railway Information Management System (DRIMS) and TD3.8 Intelligent Asset Management Strategies (IAMS). These TDs will deploy an overall concept for Intelligent Asset Management based on the following three main interlinked layers: •Measuring and Monitoring systems to collect data from the field related to the railway assets status: IN2SMART will develop unmanned systems for “remote” monitoring; track geometry, switches & crossings and signalling monitoring systems; innovative measurement of train parameters and wheel defects combined with rolling stock identifications systems. •Data management, data mining and data analytics procedures to process data from the field and from other sources: IN2SMART will develop standard open interfaces to access heterogeneous maintenance-related data; analytic tools to automatic detect anomalies, discover and describe maintenance workflow processes and predict railway assets decay towards prescriptive maintenance. •Degradation models and decision making tools to support maintenance strategies and execution: IN2SMART will lay the foundation of a generic framework for asset management and decision support process. This framework will specify the scope, objectives, workflow and outcomes of the decision-making process for maintenance interventions planning, and will be the enabler for the development of future decision support tools and systems. IN2SMART will also develop an optimised tamping tool and a robot platform for maintenance works. IN2SMART will complement the work of the IN2RAIL lighthouse project to reach a homogeneous TRL4/5 demonstrator. The following Grant will start from IN2SMART to reach the final Integrated Technology Demonstrators that will deploy the overall concept of Intelligent Asset Management.