SciTransfer
NEXTLOGIC · Project

Digital Twin Platform for Zero-Emission Urban Freight and Last-Mile Delivery Optimization

transportPilotedTRL 6

Imagine a high-tech SimCity for real urban delivery. It uses live data from sensors and cars to create a virtual map that tests the best ways to move goods without clogging streets. It's like a digital rehearsal for cities to try out electric cargo bikes and smart loading zones before actually building them.

By the numbers
8
European cities for pilot deployment
34
Multidisciplinary partners
13
Countries involved
15
Minute radius for service connectivity
The business problem

What needed solving

Urban freight delivery is inefficient, causing congestion and high emissions. Cities lack the tools to simulate and manage dynamic loading zones and last-mile delivery in real-time.

The solution

What was built

A digitally empowered platform featuring a Digital Twin with XR and gamification, integrated with IoT sensors and Floating Car Data for urban logistics simulation.

Audience

Who needs this

City Council Transport DepartmentsLast-mile delivery companiesUrban logistics software developersElectric cargo bike fleet operators
Business applications

Who can put this to work

Logistics & Delivery
any
Target: Last-mile delivery provider

If you are a delivery provider dealing with inefficient urban routes and parking fines — this project developed a system of mobile microhubs and electric cargo bikes that improves delivery speed and reduces emissions.

Urban Planning
enterprise
Target: Municipal transport authority

If you are a city authority dealing with traffic congestion and poor space usage — this project developed a Digital Twin with XR simulation that allows you to test new traffic layouts before implementation.

Energy
mid-size
Target: Green energy infrastructure provider

If you are an energy company dealing with the gap between where green power is made and where electric fleets charge — this project developed smart energy solutions to align production with consumption.

Frequently asked

Quick answers

What is the cost or pricing model for the platform?

Based on available project data, no specific pricing or cost information is provided.

At what scale is the technology being tested?

The project is deploying pilots across 8 different European cities to test the solutions in real-world urban environments.

How is the intellectual property or licensing handled?

Based on available project data, there are no details regarding IP rights or licensing agreements.

When will the solutions be available for commercial use?

The project period runs from 2026-01-01 to 2029-12-31, suggesting commercial availability after 2029.

How does this integrate with existing city data?

It integrates real-time Floating Car Data, IoT sensors, and historical datasets to model traffic and space usage.

Consortium

Who built it

The consortium is heavily weighted toward practical application, featuring 35 partners with a 31% industry ratio (11 companies). The presence of 6 SMEs and 12 universities across 13 countries indicates a strong balance between academic research and commercial scalability, specifically targeting the European urban market.

How to reach the team

Contact Universite du Luxembourg

Next steps

Talk to the team behind this work.

Contact SciTransfer to connect with the NEXTLOGIC consortium for pilot opportunities.

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