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  4. Detecting Mobility Patterns with Stationary Bluetooth Sensors: A real-world Case Study
 
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2015
Conference Paper
Title

Detecting Mobility Patterns with Stationary Bluetooth Sensors: A real-world Case Study

Abstract
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.
Author(s)
Müller, Marc
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Schulz, Daniel  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Mock, Michael  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Hecker, Dirk  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Mainwork
18th AGILE International Conference on Geographic Information Science. Geographic Information Science as an Enabler of Smarter Cities and Communities. Online resource  
Project(s)
DATA SIM  
Funder
European Commission EC  
Conference
International Conference on Geographic Information Science 2015  
Link
Link
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • bluetooth tracking

  • Fourier Transformation

  • mobility patterns

  • geo-sensor network

  • data-acquisition

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