Characterizing and modeling people movement from mobile phone sensing traces.

With the ubiquity of mobile phones, a high accuracy of characterizing and modeling people movement is achievable. The knowledge about people’s mobility enables many applications including highly efficient planning of cities’ resources and network infrastructures, or dissemination of safety alerts. However, characterizing and modeling people movement remain very challenging due to difficulties in (a) capturing, cleaning, analyzing and storing real traces, and (b) achieving accurate predictions of different future contexts.