Mobility Information Engineering Lab at ETH Zürich
Welcome to the Mobility Information Engineering Lab (MIE) at ETH Zürich. The MIE Lab is part of the Chair of Geoinformation Engineering at the Institute of Cartography and Geoinformation (IKG).
Our research is centered around analyzing spatio-temporal aspects of human mobility and developing methods to increase its sustainability with information and communication technology (ICT).
For this, we combine competences and methods from diverse fields such as Geographic Information Science (GISc), Artificial Intelligence (AI), Data Mining, Transportation Modeling, Spatial Cognition, and Learning Analytics. Our interests span from location-based services (LBS), trajectory data analysis, agent-based models and simulation, algorithms and models for spatio-temporal information, to mobile learning visualizations and learning analytics.
In our research we also place great value on reproducibility and transparency of our work. For this purpose we publish our code on the MIE Lab Github page, and for example provide the Trackintel Python package to standardise preprocessing steps of mobility data.
Read more about our research in the following core areas:
Location-based services to support people in mobility choices, MaaS offers, sustainability assessments
Spatio-temporal machine learning, analysis, simulation & prediction of human mobility, user profiling and personalization
Vehicle-2-grid strategies, smart charging, impact of drivetrain technologies, spatio-temporal assessments of technology penetration
Nina Wiedemann, a postdoctoral researcher at the MIE Lab, has been awarded the Förderpreis Geoinformatik by Runder Tisch GIS e.V. for her dissertation titled “Spatio-temporal effects in GeoAI: from predictability to evaluation.”She presented her work at the Münchner GI Runde on March 19, where she was selected as the award recipient by an independent jury.
Martin Raubal gave a talk titled “Towards Behaviorally Informed GeoAI for Spatial Decision-Making” at Münster. The presentation focused on the growing role of GeoAI and geospatial foundation models in spatial research and applications, while emphasizing that these approaches often pay limited attention to human behavior. It showed how neglecting cognition, habits, and biases can lead …
Continue reading “Martin Raubal presented at Institut für Geoinformatik, Münster”
We are pleased to share that Dr. Ye Hong, a postdoctoral researcher at MIE Lab, will join the Department of Human Geography at Lund University as Assistant Professor in (Geo)AI and Regional Development starting in May 2026. Ye’s research focuses on GIS, human mobility analysis, and generative (Geo)AI. His work develops data-driven methods to understand …