Processing crowd sourced sensor data: from data acquisition to application

Authors:
Johannes Lauer;Nicolas Billen;Alexander Zipf
Affiliations:
GIScience Research Group, Institute of Geography, University of Heidelberg, Berliner Straße 48, D-69120 Heidelberg, Germany +49(0)6221 / 54 4546;GIScience Research Group, Institute of Geography, University of Heidelberg, Berliner Straße 48, D-69120 Heidelberg, Germany +49(0)6221 / 54 5501;GIScience Research Group, Institute of Geography, University of Heidelberg, Berliner Straße 48, D-69120 Heidelberg, Germany +49(0)6221 / 54 5533
Venue:
Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science
Year:
2013

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Abstract

This paper provides a sample for acquiring and processing crowd sourced mobile sensor data. An infrastructure for receiving and storing has been developed as well as the corresponding clients that collect smartphone sensor data and send them to the server. Tests and statistics were generated to get first impressions how data logging and storing will work. To analyze the collected data, a web based visualizing toolkit has been connected as well as a processing framework to generate refined geodata. Giving an example on possibilities with crowd sourced sensor data a classification approach using crowd generated categories and data mining methods.