How long are you staying?: predicting residence time from human mobility traces

Authors:
Paul Baumann;Wilhelm Kleiminger;Silvia Santini
Affiliations:
TU Darmstadt, Darmstadt, Germany;ETH Zurich, Zurich, Switzerland;TU Darmstadt, Darmstadt, Germany
Venue:
Proceedings of the 19th annual international conference on Mobile computing & networking
Year:
2013

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Abstract

Predicting the arrival and residence time of individuals at their relevant places enables a plethora of novel applications. In this work we first analyze the theoretical predictability of arrival and residence times and then evaluate the performance of eight different residence time predictors. We show that these predictors tend to underestimate the time a user will spend at her relevant places.