“Learning by Doing” to Develop AI Applications for Mobility
AiMTT aims to cultivate a highly skilled and diverse AI talent pool equipped to address the opportunities and challenges of AI in mobility, transport, and logistics. By combining real-world case studies with knowledge development, this initiative fosters deep expertise in the field.
Our project partners will build, test, and refine AI applications for mobility, transport, and logistics through seven real-world use cases. These tools will be ready for practical implementation. Equally important, however, is the learning process that comes with working hands-on with AI. To support this, AiMTT offers workshops, training programs, and co-creation sessions—ensuring continuous knowledge exchange and improvement.
SEARCH OUR SITE
More Than Twenty Partners
The AiMTT consortium brings together over twenty partners, carefully selected for their ability to address key mobility, transport, and logistics challenges, maximize impact, and create meaningful learning opportunities for stakeholders. This collaboration also offers strong potential for project-based training and education.
Learning Through Use Cases
AiMTT’s partners are learning and developing together through six use cases based on real-world challenges. The use cases range from crowd management at large events to smarter, more efficient solutions for inland shipping.
LATEST NEWS
-
Third Tutorial Published: All You Need to Know About Graph Neural Networks
Today, AiMTT published a new tutorial on Graph Neural Networks (GNNs). The article explains the fundamentals of GNNs, how they work, their applications in transport, and the challenges that lie ahead. It is the third tutorial in the series AI in Mobility. The GNN tutorial can be found in our Tutorials section and has also
-
Engaging Kick-off of AiMTT Learning Community
On February 24, 2026, the official kick-off of AiMTT took place at the Mondai House of AI in Delft. About sixty representatives from AiMTT partners attended the event. They were treated to an inspiring, full-day program featuring lectures and panel discussions focused on AI, mobility, and education. In the first part, attendees were presented with