Bluetooth and Wi-Fi MAC address based crowd data collection and monitoring : benefits, challenges and enhancement


Autoria(s): Abedi, Naeim; Bhaskar, Ashish; Chung, Edward
Data(s)

02/10/2013

Resumo

This paper firstly presents the benefits and critical challenges on the use of Bluetooth and Wi-Fi for crowd data collection and monitoring. The major challenges include antenna characteristics, environment’s complexity and scanning features. Wi-Fi and Bluetooth are compared in this paper in terms of architecture, discovery time, popularity of use and signal strength. Type of antennas used and the environment’s complexity such as trees for outdoor and partitions for indoor spaces highly affect the scanning range. The aforementioned challenges are empirically evaluated by “real” experiments using Bluetooth and Wi-Fi Scanners. The issues related to the antenna characteristics are also highlighted by experimenting with different antenna types. Novel scanning approaches including Overlapped Zones and Single Point Multi-Range detection methods will be then presented and verified by real-world tests. These novel techniques will be applied for location identification of the MAC IDs captured that can extract more information about people movement dynamics.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/71808/

Relação

http://eprints.qut.edu.au/71808/1/2013_abedi_bhaskar_chung.pdf

http://www.atrf.info/papers/2013/2013_abedi_bhaskar_chung.pdf

Abedi, Naeim, Bhaskar, Ashish, & Chung, Edward (2013) Bluetooth and Wi-Fi MAC address based crowd data collection and monitoring : benefits, challenges and enhancement. In 36th Australasian Transport Research Forum (ATRF), 2-4 October 2013, Queensland University of Technology, Brisbane, QLD.

Direitos

Copyright 2013 [please consult the author]

Fonte

School of Civil Engineering & Built Environment; Science & Engineering Faculty; Smart Transport Research Centre

Palavras-Chave #Pedestrian and Cyclists #MAC Address #Transportation #Human Spatio-temporal Movement #Crowd Monitoring
Tipo

Conference Paper