Macro-mobility Patterns from Cellular Network Data

This paper demonstrates the potential of using anonymized cellular network signaling data to extract and analyse macro-mobility patterns. The authors show that, by properly processing signaling data passively collected from a cellular core network, the approach is able to catch crucial characteristics of wide-area mobility patterns. By means of simple illustrative examples, the authors present an analysis of country-wide travel relations, the dynamics of travel times between cities, and commute behaviour.