Imagine a GPS for shipping that doesn't just find the fastest route, but instantly switches your cargo from a truck to a train or barge if a road is blocked. It works like a giant digital air-traffic control for freight, ensuring goods keep moving even during crises. It learns from past disruptions to predict the best backup plans automatically.
Freight networks are vulnerable to disruptions, leading to long recovery times and high emissions. Current systems lack the real-time data integration needed to switch transport modes instantly when a crisis occurs.
A collaborative digital platform featuring adaptive routing algorithms, a multimodal transport ontology, and a secure real-time data pool.
If you are a TMS provider dealing with unpredictable corridor closures — this project developed adaptive routing algorithms that provide real-time multimodal alternatives to minimize recovery time.
If you are a trucking SME dealing with high emissions and rigid routing — this project developed a collaborative platform that enables synchro-modal relay-transport to reduce emissions and increase efficiency.
If you are a civil protection agency dealing with emergency logistics during disasters — this project developed a secure real-time data pool to orchestrate rapid crisis response pilots on key corridors.
Based on available project data, no specific pricing or cost structures are mentioned as this is a research and innovation action.
The project is testing its tools via pilots on major corridors like North Sea-Baltic and Rhine-Danube, indicating a move toward industrial scaling.
Based on available project data, specific licensing terms are not provided, but the project focuses on creating a standardized modelling language for Europe-wide acceptance.
It is designed to support TMS-providers by providing a common ontology and a secure real-time data pool for better coordination.
The project period runs from 2023-07-01 to 2026-06-30, suggesting the final validated tools will be available by mid-2026.
The consortium is heavily industry-weighted with 13 industrial partners (57% ratio), including 7 SMEs. This strong commercial presence, combined with 5 research entities and 1 university across 5 European countries, suggests the project is driven by market needs rather than pure theory.
Contact FIR E.V. AN DER RWTH AACHEN in Germany
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