- Identify gaps in automated transport technologies and logistics operations between
modes and hubs.
- Assess benefits of autonomous vehicles, rolling stock and vessels to multimodal logistics
and the role/benefits of seamless multimodal automatic cargo transport across transport
modes (rail, road, waterborne, aviation, alternative innovative modes of transport).
- Investigate the requirements and define concrete benefits of seamless and automated
logistics operations, particularly in multimodal terminals and hubs, linking e.g. rail, road
and inland waterways with a focus on intra-European freight flows. Consider
interoperability and cybersecurity issues.
- With the support of e.g. machine learning, digital twins, robotic process automation and
AI, and using historical operational data, compare and demonstrate (through simulation)
benefits of operational automation to current standard flows and operations in all modes.
Synergies for rail will need to be sought with the EU-Rail Programme projects
implementing the Flagship Areas 1, 2 and Destination 5.
- Design, analyse and evaluate business and governance models as well as organisational
change issues and incentives to reduce the investment costs and support the
implementation of automated solutions for logistics and multimodal freight transport.
- Develop and propose recommendations for possible regulatory and policy actions
supporting the adoption of automated solutions for logistics and multimodal freight
transport.
If projects use satellite-based earth observation, positioning, navigation and/or related timing
data and services, beneficiaries are expected to clearly describe if and how the use of
Copernicus and/or Galileo/EGNOS are incorporated in the proposed solutions. In addition, 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 has to be described in
the proposal.
