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. MICD was closely involved in setting up the course.
The course was held in two blocks: 2–3 October and 17–18 November. Participants received an intensive yet accessible introduction to the key functions of traffic management—such as traffic state estimation, short- and long-term prediction, anomaly detection, real-time control, and optimisation—and learned how modern AI methods can support these tasks.
Through a mix of thematic lectures, hands-on data sessions, and collaborative group work, participants gained both theoretical understanding and practical insight into the role of AI in mobility. Real-world use cases, contributed by professionals, formed the basis for group assignments in which practitioners and PhD researchers worked together to address traffic challenges using AI-based approaches. During the period between the two course blocks, participants continued working on their assignments. On the final afternoon, they presented the results of their work.
Designing the mobility of the future is complex, due to several factors. On the part of the European Union, the urgency to drastically reduce CO2 emissions is high. Furthermore, our cities are getting busier and the diversity in means of transport is increasing. With more sustainable choices and increasing pressure on energy supplies in mind, the question arises: how can we better spread traffic and influence travel choices?
Explore the forefront of multi-modal traffic and mobility management, during International Summer School: Advances in Multi-Modal Cooperative Traffic and Mobility Management, from 2 – 5 July at TU Delft.
Mobility Innovation Centre Delft is present at the Transport Research Arena (TRA) in Dublin. TRA, is the European transport event that covers all transport modes and all aspects of mobility. It is the largest European research and technology conference on transport and mobility.
Director Sascha Hoogendoorn-Lanser presented the insightful results obtained thus far in the DIT4TraM Project at the European conference on results from road transport research (RTR2024).
Commissioned by the Zuid6 partnership, TU Delft, Argaleo, and MICD have developed an evacuation module that can calculate and visualize evacuation scenarios. The tool has received very positive feedback; both professional journals and national newspapers reported on it in November and December 2025.
To address challenges at the intersection of AI & Mobility, the TU Delft | AI Initiative, Mobility Innovation Centre Delft (MICD) and the Transport & Mobility Institute (TMI) brought together leading experts from science, industry and government during TU Delft’s festive Dies Natalis week “Making Sense of Mobility”. Hosted by Mondai, the AI & Mobility Day on January 17th, was about shaping the future of AI in mobility.
High tides have become increasingly common in the Netherlands in recent years. Therefore, we are developing an online tool to manage a safe and timely evacuation.
We are proud to announce that we are starting a long term collaboration with the Netherlands Vehicle Authority (RDW). Together, RDW and TU Delft scientists, we will define several research topics, varying from data driven predictions to practical tests in our field lab.