Increasing housing density and decreasing space for transport infrastructure and private parking are threatening the sustainable accessibility of urban regions. Potential smart mobility solutions consist of flexible combinations of walking and cycling, shared electric vehicles, transport hubs, freight delivery and traffic management – but we lack the modelling tools to test these solutions.
In the Xcarcity project
we will develop realistic digital replicas of car-low areas in Amsterdam, Almere and Rotterdam. We will use these ‘digital twins’ to study how people use different smart mobility services. This will help cities, area developers and mobility providers to make informed decisions about smart mobility, ensuring that the car-low urban regions of the future remain accessible.
Xcarcity is a joint research project of University of Twente, TU Delft, TU Eindhoven, and the Netherlands Organisation for Applied Scientific Research (TNO), also involving a large range of companies, public authorities, knowledge institutes and other organizations. Within the project, the DACS group
of the University of Twente is responsible for the research on smart infrastructure, in which we will focus on massive privacy-preserving mobility data collection and aggregation. This mobility data will be used to feed the digital twin with up-to-date information on the state of the mobility system, and to dynamically control smart mobility infrastructure. As a PhD candidate in this project, your research will focus on efficient privacy-preserving wireless mobility data collection. Your work will be on the boundary between the computer science subdisciplines of wireless networking, security and privacy, and machine learning. You will work independently, interacting closely with your supervisors, prof.dr.ir. Maarten van Steen and prof.dr.ir. Geert Heijenk, other members of the Xcarcity team, and your colleagues at the DACS group of the University of Twente.