On July 2, 2026, AiMTT launched its first learning module, Crowd Management During Events. The module features 19 videos, three of which are still to be published. Experts from academia and industry explain how AI and data can help improve crowd management during large-scale events.
The learning module is aimed at traffic and mobility professionals, event organisers, researchers, and students. It is available free of charge and takes participants through the complete AI-supported crowd management workflow.
Using the SAIL Amsterdam use case, experts from TU Delft, Analyze, and uCrowds demonstrate how AI can support safer and more effective decision-making throughout the event lifecycle.
The module covers topics including:
The learning module was developed within AiMTT, where Sascha Hoogendoorn-Lanser (MICD) serves as Learning Community Lead.
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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.
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?
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.
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).
A major challenge in crises is the combination of complexity, time pressure and moral decisions. AI has the potential to support crowd crises decisions, yet the increasing use of AI has led to a debate about the legal and ethical implications. To address these challenges, the AI-COMPASS consortium, led by TU Delft, develops real-time decision support systems, considering context, behaviour, and values. The project is financed by the Collaboration between Humans and (semi-)Autonomous systems programme of NWO.
This week marks the exciting start of the metaCCAZE Project, a groundbreaking initiative funded by HorizonEurope.