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AI & Mobility Day 2026: Now Open for Registration!
You can now register for our free AI & Mobility Day 2026, taking place on November 5, 2026, at Mondai House of AI in Delft. Capacity in the Panorama XL Hall is limited, so reserve your place as soon as possible to avoid disappointment. During this one-day event, TU Delft…
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AiMTT and TU Delft Now Offer Six MSc Thesis Projects
AiMTT and TU Delft have developed six MSc thesis projects that offer students an excellent opportunity to work on real-life traffic challenges using cutting-edge AI techniques. Two of the projects include an internship at Siemens Mobility in Zoetermeer. The six MSc thesis projects cover topics such as Active Inference, Long…
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AI in Mobility Series: Tutorial on PINNs Published
AiMTT has published a new tutorial in its AI in Mobility series. In this article, Ying-Chuan Ni from ETH Zurich and Theivaprakasham Hari from TU Delft explain what Physics-Informed Neural Networks (PINNs) are and why they matter. The relatively new Physics-Informed Neural Networks combine the strengths of traditional traffic flow theory models…
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Now live: Learning Module ‘Crowd Management During Events’
Today, we launched our first AiMTT Learning Module, Crowd Management During Events. The module includes 19 videos, three of which will be published soon. Experts from academia and industry explain how AI and data can help improve crowd management during large-scale events. This learning module takes you through the complete…
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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…
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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…
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TU Delft Students Develop AI Solutions for AiMTT Crowd Management Case
TU Delft has incorporated elements of the AiMTT use case Crowd Management During Events into two courses of the Master’s programme in Transport, Infrastructure and Logistics. More than thirty students worked on designing (course TIL4030) and building (TIL6022) smart AI solutions for crowd management. TIL4030 The aim of the course…
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Results of Crowd Management Use Case Integrated into Master’s Programme
During the most recent edition of SAIL Amsterdam, significant progress was made on the AiMTT use case Crowd Management During Events. Among other achievements, the partners developed an AI model capable of predicting pedestrian crowd levels several hours in advance. Parts of the use case have now been incorporated into…
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AiMTT Publishes Tutorial on Long Short-Term Memory Models
Our AiMTT scientists have published their second tutorial in the series ‘AI in Mobility.’ The article on Long Short-Term Memory models (LSTMs) can be read in our Tutorials section and has also been published in Dutch in NM Magazine. NM Magazine, widely distributed among traffic professionals in the Netherlands and…
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Succesful AiMTT Course on Data, AI, and Traffic Management
Tuesday 18 November 2025 marked the final day of the four-day AiMTT course Data, AI and Multimodal Traffic Management in Delft. More than 30 mobility professionals and PhD researchers explored how artificial intelligence and data can be applied to manage complex, multimodal traffic systems. The course was held in two…