[AI & DT Webinar series #4] Open and Extendable Urban Digital Twins: Real-Time Data Pipelines and Conversational Interfaces for Sustainable Cities

This session will explore the design and implementation of an open-architecture Urban Digital Twin (UDT) developed for the city of ’s-Hertogenbosch, The Netherlands. The webinar will showcase how real-time data integration and conversational AI can support sustainable urban logistics and smarter city planning.

Why this matters now
As cities face increasing pressure from construction activities, traffic congestion, and environmental concerns, digital solutions are becoming essential. Urban Digital Twins offer a powerful way to monitor, predict, and optimize logistics and infrastructure in real time. This webinar addresses how open, modular systems can support sustainability goals and improve decision-making in complex urban environments.

What you will learn
The presentation will cover:

• Real-time data pipelines using Apache Kafka and open APIs (e.g., TomTom, AQI, OpenWeather)
• Interactive 3D city maps with traffic, air quality, and noise overlays
• A privacy-preserving chatbot interface for querying urban data
• Use cases in construction logistics and environmental impact assessment
• Integration of historical analytics and predictive insights for route optimization

Why attend
This session highlights a multidisciplinary approach combining data engineering, AI, and urban planning. Participants will gain insights into replicable smart city models that prioritize transparency, sustainability, and stakeholder engagement. The methodology emphasizes openness and adaptability and key principles for future-ready logistics systems.

About the speakers

• Prof. Jos van Hillegersberg is Scientific Director at JADS and Professor of Business Information Systems at the University of Twente. With a background in both academia and industry (IBM, AEGON), his research focuses on digital transformation and sustainable supply chains.
• Daniel Wondyifraw, EngD is a graduate of the Engineering Doctorate in Data Science at TU/e. He has led the development of real-time analytics and conversational interfaces for urban logistics, contributing to the LOKET project and smart city innovation.