Bayesian Framework for Mobility Pattern Discovery Using Mobile Network Events

; ; (). Bayesian Framework for Mobility Pattern Discovery Using Mobile Network Events. In: Proceedings of EUSIPCO 2017. www.eusipco2017.org. Kos: EURASIP. Peer reviewed.

Understanding human mobility patterns is of great
importance for planning urban and extra-urban spaces and
communication infrastructures. The omnipresence of mobile
telephony in today’s society opens new avenues of discovering
the patterns of human mobility by means of analyzing cellular
network data, in particular the passively collected Network
Events (NEs). However, mobility pattern analysis based on
network events is challenging because of the coarse granularity
of NEs. In this paper, we propose novel network event-based
Bayesian approaches for mobility pattern recognition and reconstruction,
mode of transport recognition and modeling the
frequent trajectories.