Context-Aware Mobility Mining Tools – COMMIT

Co-PIs:

  • Dr. Martin Raubal (ETH Zürich),
  • David Jonietz (ETH Zürich)

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.