“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.
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.
The consortium includes a diverse mix of partners from across sectors, including academia and education, government agencies, consultancy firms, and technology and automation companies.
Seven Use Cases
AiMTT is developing AI-driven solutions through seven real-world use cases, each designed to deliver practical mobility tools ready for direct implementation. The use cases range from crowd management at large events to smarter, more efficient solutions for inland shipping.
NEWS
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AI-Based Traffic Forecasting for the Ketheltunnel
To better predict traffic jams and manage traffic flow proactively, the NDW Data Science Society initiated a project using artificial intelligence (AI) for the Ketheltunnel area near Rotterdam, the Netherlands. Commissioned by NDW and Rijkswaterstaat, and developed by a consortium including AiMTT partners d-fine, Arane,…