Participatory Bluetooth Scans Serving as Urban Crowd Probes

Jens Weppner, Paul Lukowicz, U. Blanke, G. Troster

In: IEEE Sensors Journal 14 12 Pages 4196-4206 IEEE 12/2014.


We describe a system that leverages users voluntarily having their smartphones scan the environment for discoverable Bluetooth devices to analyze crowd conditions in urban environments. Our method goes beyond mere counting of discoverable devices toward a set of more complex, robust features. We also show how to extend the analysis from crowd density to crowd flow direction. We evaluate our methods on a data set consisting of nearly 200 000 discoveries from nearly 1000 scanning devices recorded during a three day city-wide festival in Zurich. The data set also includes as ground truth 23 million global positioning system location points from nearly 30 000 users.

Weitere Links

Participatory_Bluetooth_Scans_Serving_as_Urban_Crowd_Probes.pdf (pdf, 5 MB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz