Over the past decades, the transportation sector has seen significant strides in automation. However, these advancements are largely confined to individual modes (road, rail, waterborne, aviation) creating a fragmented landscape that impedes seamless, end-to-end logistics operations, and limits the full potential of automation.

To address this challenge, the research project AutoMoTIF focuses on developing strategies, business and governance models, regulatory recommendations and synergies to enable the integration and interoperability of automated transport systems in Europe. Specifically, AutoMoTIF will identify existing regulatory and technological gaps in automated transport technologies and logistics operations across different modes and hubs. 

Spanning 36 months, the project brings together a consortium of 17 industrial and academic partners from various sectors and European countries. 

SUPSI participates through the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), focusing on the development, implementation and evaluation of AI solutions for modelling, safety analysis and optimization of intermodal logistic terminals, in collaboration with its Swiss industrial partner Data and Systems Planning (DSP). 

The research unit, led by Prof. Francesco Flammini  and including members of the Trustworthy Autonomous Systems group at IDSIA USI-SUPSI, is responsible for the development of AI algorithms and tools for an agile and user-friendly modelling and optimization of intermodal logistic terminals. The unit also focuses on the analysis for properties such as performability, safety, and trustworthiness through appropriate simulation and formal verification techniques.