Estimating Bluetooth mac scanner based pedestrian flow characteristic by taking the through pedestrian flow as a case study

The Bluetooth scanner has been widely used as vehicle traffic detector in recent years. A new solution based on the Bluetooth scanner has been deliver to detect pedestrian traffic by estimating the pedestrian flow characteristic. The equipment is tuned to scan Bluetooth devices more frequently. Consequentially, the unique Bluetooth MAC can be detected multiple times by the scanner. The numeric simulation also suggests median detection is the chosen one to calculate traveling time. In this study, Bluetooth MAC scanning, as a non-intrusive technology, is tested in a pedestrian transfer tunnel, including antenna compatibility working within buildings. The penetration rate also increases slightly. Finally, the proposed solution offers a mature technology for pedestrian study, integrating scanner configuration, antenna selection and the traveling time calculation method.

Abstract licence: CC BY

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