Monitoring Microscopic Pedestrian Mobility Using Bluetooth

Abstract

Recently evolved Bluetooth tracking technology is currently applied to extract individual pathways, movement patterns or to rank popularity of locations by their visitor quantities. To utilize this technology for the creation of location aware intelligent environments, the next steps are to come up with microscopic traffic values. This work proposes a solution for this question, namely, a Bluetooth localization and path reproduction of individual persons. Our approach applies radio signal strength fingerprinting. We introduce and evaluate this approach for varying granularities and mobile phone types. The result is an accurate reproduction of pedestrian position and route choice in a complex facility.