The GoSAFE RAIL project will be transformative for asset safety in the rail sector. It will bring together inter-disciplinary experts from Risk based asset assessment of infrastructure, Artificial Intelligence (AI), object detection and data management sectors with leaders in network micro-simulation modelling to deliver a Decision Support Tool that will allow a step change for infrastructure safety. The involvement of Infrastructure Managers and Railway Undertakings will ensure the R&D performers have access to data and through collaboration with the Shift2Rail initiative and complementary H2020 projects, access to demonstration sites (a number of preferred tunnel and bridge monitoring locations have already been selected) necessary to develop the tool and a ready market to commercialise it. Through the development of a Network Decision Support Tool the project will provide integrated solutions to issues related to infrastructure safety and planning considering a number of common problems faced by EU infrastructure managers. The project aligns directly with the Shift2Rail (S2R) masterplan and the three technology demonstrator projects in the Intelligent Asset Maintenance pillar (TD 3.6, 3.7 and 3.8). In particular it will address (i) Integration of Open-Linked Data from a range of sources and transformation to allow for direct use in a safety framework incorporating network modeling, (ii) Real-time methods for object detection will be developed and demonstrated, (iii) Analytical models incorporating Artificial Intelligence (AI) algorithms will be developed to predict asset degradation and (iv) The safety framework can be used to plan maintenance and intervention strategies with the lowest whole life cycle cost.

The project provides solutions for common infrastructure problems encountered in diverse regions of Europe, e.g. deterioration and scour damage to bridges, slope instability, damage to switches and crossings and track performance. Whilst similar failure modes are seen around the EU, the triggers (precipitation, earthquake loading etc.) are regional. The DESTination RAIL project will develop management tools based on scientific principles for risk assessment using real performance measurements and other vital data stored in an Information Management System. This will allow for a step-change in the management of European rail infrastructure. The objectives will be achieved through a holistic management tool based on the FACT (Find, Analyse, Classify, Treat) principle. Find - Improved techniques for the assessment of existing assets will be developed. Analyse- Advanced probabilistic models fed by performance statistics and using databases controlled by an information management system. Classify- The performance models will allow a step-change in risk assessment, moving from the current subjective (qualitative) basis to become fundamentally based on quantifiable data. Treat - The impact of proposed remediation or reconstruction will be assessed using the a probabilistic whole life cycle model which includes financial and environmental costs and the impact of work on traffic flow. The FACT principles will be implemented in a holistic decision support tool for infrastructure managers. DESTination RAIL will result significant impact in relation to the objectives of the work programme. It will reduce the cost of investment by using the IMS to manage the network, (ii) Monitoring and real-times analyses will prevent unnecessary line restrictions and closures. (iii) Lower maintenance costs by optimisimg interventions in the life cycle of the asset and (iv) optimise traffic flow in the network.