Imagine if shipping goods worked like the internet, where packages move automatically between ships, trains, and trucks without manual paperwork or delays. This project creates a digital simulation tool to help port and transport managers test these automated systems before spending money on them. It's like a flight simulator for logistics that predicts if a new automated setup will actually save time and money.
Freight networks suffer from congestion and high costs due to a lack of digitalization and poor coordination between ships, trains, and trucks.
A data-driven Decision Support System (DSS) and a Digital Twin environment for simulating automation scenarios. It also includes a technology taxonomy and a set of functional and regulatory requirements.
If you are a Port Authority dealing with congestion at the Antwerp-Bruges or Trieste nodes — this project developed a Digital Twin and Decision Support System that simulates automation scenarios to reduce investment uncertainty.
If you are an Intermodal Rail Operator dealing with fragmented collaboration across modes — this project developed governance and organizational models that incentivize cross-mode collaboration and lower adoption barriers.
If you are a Freight Forwarding SME dealing with rising operational costs — this project developed a taxonomy of automation technologies and a tool to assess their financial and social impact.
The project provides a data-driven Decision Support System and Digital Twin to simulate automation scenarios, which helps managers reduce uncertainties and guide investment planning.
The project is currently validating solutions through 6 diverse use cases in two Living Hubs (Antwerp-Bruges and Trieste) to ensure they work in real-world environments.
Based on available project data, the Decision Support System is described as 'open', though specific licensing terms are not detailed.
The project has produced a consolidated set of regulatory requirements for seamless multimodal automation to help lower adoption barriers.
The project runs from 2024-06-01 to 2027-05-31, with initial technical foundations and taxonomies already completed in the first reporting period.
The consortium is heavily industry-weighted with 11 industrial partners (61% ratio), including 8 SMEs. This strong commercial presence, combined with partners from 5 different European countries, suggests the project is focused on practical market application rather than pure academic research.
Contact INLECOM INNOVATION ASTIKI MI KERDOSKOPIKI ETAIREIA in Greece
Contact us to explore the Digital Twin simulation tools for your logistics hub.
