Mondai | House of AI, TU Delft | AI Initiative and the TU Delft | Transport & Mobility Institute present
AI & Mobility Day 2026!
Mobility, transport and logistics face a multitude of challenges: traffic congestion, quality-of-life issues, conflicting interests between users, operators and the public, a lack of space, and safety risks during large-scale events. These challenges are closely intertwined, making them particularly difficult to resolve.
Furthermore, much of the infrastructure in the Netherlands is approaching the end of its service life. This same infrastructure forms the connecting link for all mobility and transport, by road and water. However, expansion is becoming increasingly difficult and expensive, whilst space, staff and financial resources are also urgently needed for defence, healthcare, energy, education, nature conservation and housing. We will therefore have to use and maintain the existing infrastructure even smarter.
Whilst such complexity can overwhelm the human brain, it actually offers ideal applications for artificial intelligence (AI). AI can process vast amounts of data in real time, carry out accurate network analyses, simulate the effects of future scenarios and optimise interventions. Furthermore, AI enhances our understanding of human behaviour and of the transport system as a whole.
By organising mobility more intelligently, we can make better use of existing capacity – enabling us to move people and goods more efficiently and safely across the country. TU Delft’s expertise contributes to this with:
• Intelligent traffic management, e.g. using cameras, sensors and drones, advanced tools for traffic controllers, and data-driven mobility models that predict and optimise traffic flows;
• Innovative applications to optimise port logistics and encourage the modal shift from road to water;;
• Self-driving cars and autonomous inland waterway vessel;
• Smart charging and energy systems for electric vehicles;
• Digital twins of infrastructure for improved management and maintenance, including smart and predictive maintenance of bridges, tunnels and viaducts;
• Learning Communities such as AiMTT, which address the opportunities and challenges of AI in the fields of mobility, transport and logistics.
Program
09.00 Walk-in and reception
09.30 Opening by Sascha Hoogendoorn-Lanser en Serge Hoogendoorn
09.40 Keynote: Responsible use of AI in the Traffic, Mobility and Logistics domain by Satish Ukkusuri (Purdue University)
10.20 Theme: What has to be settled before AI decides? by Neil Young Smith (TU Delft) & Diederick Blom (DB Consulting)
11.00 Coffee break
11.15 Keynote: Relevance of Traffic and Transportation Theory in the era of AI
11.55 Theme: Active Inference for decentralised, resilient and cooperative traffic management
12.35 Lunch
13:30 Theme: Responsible use of explainable AI for anticipatory crowd management
14:10 Theme: From estimation and prediction to evaluation: AI for traffic management by Henk Taale (RWS),
14.50 Break
15.05 Theme: AI to the rescue? The maintenance and replacement challenge by Rijkswaterstaat and TU Delft
15.45 Keynote:The future of AI and what it means for Transportation, Logistics and Infrastructure by Deborah Nas (TU Delft)
16.25 AI & Mobility November 4th Hackathon Winner and Runner-up pitches
16.55 Closing
17.05 Drinks
