GSS EU Science Funding Gateway

Proposals will have to address all of the following points:

• Improve performance of transport infrastructure and increase multimodality with the use of, for example: IoT, edge computing and decentralised artificial intelligence, or other digital tools in view of its potential to facilitate real-time decision-making, improve safety and to save bandwidth and energy. Develop solutions for self-monitoring, self-reporting, non-intrusive/non-destructive inspection and testing methods, including advanced predictive modelling and structural safety assessment.
• Demonstrate ability to process internal and external raw data, such as sensor data, into smart data and related cloud architecture that can be deployed to optimize infrastructure management processes
• Building on the common European mobility data space and the Digital Transport and Logistics Forum (DTLF), facilitate the seamless use and provision of data and information to the end user across the transport infrastructure network and logistic chain, with a view to progress advancing towards smart mobility concepts for passengers and freight.
• Enhance prediction of demand from individual behaviours, enabling appropriate modal capacity and demand management.
• Propose digital solutions contributing to a more inclusive, comfortable, accessible and flexible infrastructures and multi-modal services.
• Include at least three pilot demonstrations of the proposed solutions in operational environment (minimum at TRL7) on land and inland waterways transport infrastructure.
• Evaluate the qualitative and quantitative impact of the proposed measures with a clear baseline for each pilot demonstration.

For rail infrastructure the solutions will need to be harmonised with the EU-RailRAIL Programme projects implementing the Flagship Area 1, 3 and 5[1]. Proposals should consider results from previous calls on infrastructure maintenance, digitalisation, and on edge-IoT, and focus on validation of innovative solutions (i.e. robotics, IoT, edge computing and AI).

If the activities proposed involve the use and/or development of AI-based systems and/or techniques, the technical and social robustness of the proposed systems is to be described in the proposal.