SciTransfer
MODI · Project

Automated Trucking Solutions for Efficient Cross-Border Logistics Corridors

transportPilotedTRL 7

Imagine a fleet of trucks that can drive themselves across borders, almost like a high-tech train on a highway. This work creates a digital and physical 'lane' from Rotterdam to Oslo where trucks talk to each other and the road to move cargo without a human driver. It's about making the long haul of shipping goods as smooth and automatic as a conveyor belt.

By the numbers
23,030,095
EU Contribution in EUR
36
Total partners
4
National borders crossed
5
Real-life use cases
The business problem

What needed solving

Freight logistics suffer from high operational costs and inefficiencies due to human driving limits and regulatory fragmentation across borders. Current automated systems lack the coordination needed to operate safely and profitably in mixed public traffic.

The solution

What was built

A system for SAE L4 automated trucking including coordinated driving software, infrastructure recommendations, and validated business models for the Rotterdam-Oslo corridor.

Audience

Who needs this

Heavy-duty truck manufacturers (OEMs)International logistics and freight forwardersPort and terminal operatorsNational road and transport authorities
Business applications

Who can put this to work

Logistics & Freight
enterprise
Target: Long-haul trucking company

If you are a trucking company dealing with high driver costs and border delays — this project developed SAE L4 automated driving features that allow vehicles to operate with minimal human intervention. This reduces operational costs and optimizes the logistics chain across 4 national borders.

Port Operations
enterprise
Target: Terminal operator

If you are a port operator dealing with congestion at gate access and loading zones — this project developed integrated terminal operations for automated vehicles. This improves the speed of loading, unloading, and charging within major hubs like Rotterdam and Hamburg.

Automotive Manufacturing
enterprise
Target: Heavy-duty vehicle OEM

If you are a truck manufacturer dealing with strict regulatory barriers for self-driving tech — this project developed a set of infrastructure and vehicle regulation recommendations. This provides a clear path to deploy SAE L4 features on public roads in mixed traffic.

Frequently asked

Quick answers

What is the estimated cost or price of the solution?

Based on available project data, specific pricing for the technology is not provided, but the project focuses on finding a combination of infrastructure and equipment that is low in costs for all parties.

Can this be scaled to an industrial level?

Yes, the project demonstrates feasibility along a major TEN-T network corridor from Rotterdam to Oslo, crossing 4 national borders and integrating 4 major ports.

How is the IP and licensing handled?

Based on available project data, specific licensing terms are not mentioned, but the project involves a consortium of 36 partners including OEMs and ITS providers to co-create solutions.

What regulatory hurdles are being addressed?

The project identifies and resolves regulatory barriers for SAE L4 vehicles on public roads and motorway corridors through cooperation with road authorities.

How does this integrate with existing logistics?

It uses a coordination-centric approach to integrate CCAM into current vehicle operations, allowing for early adoption and immediate efficiency gains.

Consortium

Who built it

The consortium is heavily weighted toward commercial application, with 16 industry partners (44% ratio) and 7 SMEs. The inclusion of 36 partners across 8 countries, including OEMs, ITS providers, and road authorities, ensures that the technical development is aligned with actual market needs and regulatory requirements of the European transport corridor.

How to reach the team

Contact ITS Norway for partnership opportunities regarding CCAM logistics corridors.

Next steps

Talk to the team behind this work.

Contact us to connect with the MODI consortium for SAE L4 implementation.

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