Scope

Innovative digital tools and solutions will allow to upgrade transport infrastructure ensuring an improved performance and safety, together with a reduction of emissions and better inclusiveness. Increasing the performance of multi-modal transport infrastructure can be achieved through improving the efficiency of the assets and by the cross-modal data management. Digital solutions are key to reduce drastically disruptions in traffic flows, increase transport efficiency and lower its dependency on fossil fuels. Transport infrastructure needs to be capable of harvesting the benefits from digitalisation at management and operations levels, as well as in relation with the user. Digitalisation can support the achievement of sustainability targets and provide a better service to infrastructure end users, including enhanced public transport services. Digital technologies, such as big data, the Internet of Things, Digital Twins, together with Artificial Intelligence and Machine Learning techniques provide a great potential for developing mobility solutions. The integration between transport infrastructure and digital technologies will help achieve personalised seamless passenger and freight journeys transport across different transport modes. This integration will consider safety and security starting from the design phase, while simultaneously automating and accelerating the decision process at every level from maintenance to traffic management. Special attention should be given to the accessibility of new digital tools from persons with disabilities and older persons, in order to ensure that this segment of the population is also able to participate fully and benefit from digital progress. As set by the Green Deal, priorities should be given for projects allowing modal shift from road to more sustainable mode such rail and inland waterways.

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, selfreporting, 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.