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
Victoria is a visiting PhD student at the MIE Lab in fall 2025 and spring 2026. She has been pursuing her PhD at the Chair of Traffic Engineering and Control at the Technical University of Munich since 2022, and has a background in Computational Science and Engineering and Civil Engineering. Her research interests revolve around leveraging geospatial data to address transportation challenges. This includes …
Martin Raubal gave the keynote speech at the ZVR Traffic Law Conference 2025 at the Vienna University of Economics and Business in Austria. His talk ‘Sustainable Mobility – quo vadis’ focused on the importance of geodata and -technologies for sustainable mobility and introduced current research on electric mobility, V2G technologies, and behavior change. The slides …
Continue reading “Martin Raubal presented at ZVR Traffic Law Conference 2025”
Our new paper, “Quantifying the Impacts of Non-Recurrent Congestion on Workplace EV Charging Infrastructures”, is now published in Transportation Research Part D: Transport and Environment (Vol. 138, 2025). The study addresses a critical but overlooked issue: how unexpected traffic accidents and congestion ripple into EV workplace charging systems that rely on smart-charging and solar integration. …