Invited talk presented during the execution of the Memorandum of Understanding between Tinajin University and the Dutch Hanze and Saxion Universities of Applied Sciences.

This essay reports on a research project aiming at validation of a concept for an Al-driven speech interface for smart services in public spaces. The research team created a simple experience prototype that simulated the envisioned functionality and was used to experiment with subjects in dialogues. …

SRON is the Dutch national expertise institute for scientific space research and is part of NWO. It plays an important role in delivering contributions to the national and international space-research communities. Currently one of SRON’s involvements is in the X-IFU instrument for the Athena space X-ray …

Beyond the potential of new layers of urban infrastructure - sensor-laden networks, big data, artificial intelligence - to optimize cities functionally, lay promising opportunities to also use these technologies for new forms of social interactions. In an ongoing smart city development project, we explore …

Speech interactions are often associated with virtual assistants and smart home devices, designed primarily for private contexts. A less developed domain is speech interfaces in public contexts. In a smart city development project, we explored the potential of distributed conversational speech interfaces …

This research aims to predict traffic density using driver behaviour as collected from the CAN bus. The hypothesis is that driver behavior is influenced by traffic density in such a way that an approximation of the traffic density can be determined from changes in the driver behavior. Machine learning …

This research is an explorative study to look for the potential to predict traffic density from driver behaviour using signals collected from the Controller Area Network (CAN) bus. The hypothesis is that driver behaviour is influenced by traffic density in such a way that an approximation of the traffic …

This research is an explorative study to look for the potential to predict traffic density from driver behavior using signals collected from the Controller Area Network (CAN) bus. The hypothesis is that driver behavior is influenced by traffic density in such a way that an approximation of the traffic …

This research is an explorative study to look for the potential to predict traffic density from driver behavior using signals collected from the Controller Area Network (CAN) bus. The hypothesis is that driver behavior is influenced by traffic density in such a way that an approximation of the traffic …

Extreme winter weather conditions severely affect the transportation sector. Technologies such as Road Weather Information Systems provide live data on the road surface conditions to assist the road authorities in providing safe mobility. The main problem is, however, the limited number of such systems …