An Analysis of the Detection Probability of MAC Address from a Moving Bluetooth Device
Traffic monitoring using Bluetooth Media Access Control (MAC) addresses has been intensively studied for a decade. Nevertheless, estimation of Origin-Destination (OD) volume is still challenging, because of the unstable nature of the detection. With the aim to reveal the factors affecting the detection probability of MAC addresses from moving Bluetooth device, this study conducted a series of driving tests to collect detection samples under various scenarios. The data was then utilised to develop a Logistic Regression Model to estimate detection probability considering the installation positions of the scanner and the driving speed of the experiment car. The results agreed on the contribution of distance and angle between the scanner and the car, as well as the car speed, as reported in preceding studies. This study further identified the contribution of driving direction, and height and timeout duration of the scanner. The proposed model successfully estimated the detection probability with reasonable accuracy.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2017 Takahiro Tsubota and Toshio Yoshii. Published by Elsevier B.V.
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Authors:
- Tsubota, Takahiro
- Yoshii, Toshio
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Conference:
- 2016 International Symposium of Transport Simulation (ISTS’16 Conference)
- Location: Jeju City Jeju Special Self-Governing Province, Korea, South
- Date: 2016-6-23 to 2016-6-25
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 251-256
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Serial:
- Transportation Research Procedia
- Volume: 21
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Bluetooth technology; Incident detection; Logistic regression analysis; Origin and destination; Traffic surveillance; Traffic volume; Travel demand
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01636098
- Record Type: Publication
- Files: TRIS
- Created Date: May 26 2017 11:30AM