Context-Aware Mobility Mining Tools – COMMIT
Co-PIs:
- Dr. Martin Raubal (ETH Zürich),
- David Jonietz (ETH Zürich)
Project presentation
April 20th 2018
Problem:
Current methods for mining movement trajectories in order to analyze our mobility behavior
- omit the movement’s context (e.g., weather, environment);
- focus on the status quo of mobility behavior rather than its dynamic change (e.g., as reaction to newmobility options).
Solution:
We aim to develop generalizable and reusablemethods for the integration of movement trajectories from various sources with spatio-temporal context data and for knowledge discovery from such semanticallyenriched, longitudinal data.
Impact:
Understanding human mobility is highly significant for numerous disciplines as well as for society as a whole, working towards the goal of increasing its sustainability. An open-source analysis framework for movement data will be of use to researchers from a variety of disciplines.