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MOBIUS - reinventing smart mobility


Since November 2019, in my postdoc at CAROU of the Open University of the Netherlands, I have been working on a SafeCity project called MOBIUS - modelling smart and safe MOBIlity for Urban Sustainability.

With the help of Khaleel and Kevin, we are creating an app for remote tracking. By collecting smartphone sensors such as accelerometers, gyroscopes and GPS coordinates, the MOBIUS can accurately classify the means of transportation used by the citizens of a city. 

The MOBIUS app is an example of a smart-mobility application, which, by collecting crowdsourcing data, could provide more insights into how people move around an urban area. The app will hopefully be trialled in Heerlen in The Netherlands. 

Published by Daniele Di Mitri

Daniele Di Mitri is a research group leader at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled "The Multimodal Tutor" at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele's current research focuses on designing responsible Artificial Intelligence applications for education and human support. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.

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