Dr. rer. nat.

Hecker, Dirk

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  • Publication
    Detecting Mobility Patterns with Stationary Bluetooth Sensors: A real-world Case Study
    ( 2015)
    Müller, Marc
    ;
    Schulz, Daniel
    ;
    Mock, Michael
    ;
    Hecker, Dirk
    A Bluetooth sensor network was built up in the city of Bonn to measure Bluetooth MAC-addresses. The results of the acquired data are separated on a macro level and mobility patterns. We have collected nearly 5 million data points from 14 distinct stationary sensors over a period of 1 month and recognized over 85.000 unique devices. We show that the data is sufficiently dense to detect commuter patterns based on a Fourier analysis. In addition, we discuss limitations found in the dataset and present lessons learned.
  • Publication
    Using Bluetooth to track mobility patterns: Depicting its potential based on various case studies
    ( 2013)
    Ellersiek, Timothy
    ;
    Andrienko, Gennady
    ;
    Andrienko, Natalia
    ;
    Hecker, Dirk
    ;
    Stange, Hendrik
    ;
    Müller, Marc
    During the past years the interest in the exploitation of mobility information has increased significantly. A growing number of companies and research institutions are interested in the analysis of mobility data with demand of a high level of spatial detail. Means of tracking persons in our environment can nowadays be fulfilled by utilizing several technologies, for example the Bluetooth technology, offering means to obtain movement data. This paper gives an overview of four case studies in the field of Bluetooth tracking which were conducted in order to provide helpful insights on movement aspects for decision makers in their specific microcosm. Aim is to analyse spatio-temporal validity of Bluetooth tracking, and in doing so, to describe the potential of Bluetooth in pedestrian mobility mining.