NDLI: Hybrid participatory sensing for analyzing group dynamics in the largest annual religious gathering

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Hybrid participatory sensing for analyzing group dynamics in the largest annual religious gathering

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Hybrid participatory sensing for analyzing group dynamics in the largest annual religious gathering

Content Provider	ACM Digital Library
Author	Jamil, Shuja Basalamah, Anas Youssef, Moustafa Lbath, Ahmed
Abstract	Understanding crowd dynamics of large-scale events is crucial to deliver a pleasant experience for the participants. In this paper, we propose a novel hybrid participatory sensing approach to capture large group dynamics. Specifically, our approach is based on distributing a large number of tiny, wearable Bluetooth Low Energy (BLE) tags and few smartphones among the group members. We start by identifying the best configuration; in terms of transmit power and beaconing interval; for detecting BLE tags in indoor and outdoor environments. Then, as a case study, we deploy the system during the six main days of the Hajj pilgrimage in 2014, which is the world's largest annual religious gathering. We used the proposed hybrid participatory approach to collect the mobility data of pilgrim groups based on GPS location and co-occurring BLE tag detections. Our system provided up to 80% group-wise detectability in a single scan event. Moreover, 98% cumulative unique tags detectability is achieved in the whole event, leading to 0.74 million records. Analysis of the group dynamics revealed unexpected behavior and interesting findings. In particular, regional variations are found among different groups in the entry or exit times, duration of stay, and group cohesion; which are attributed to congestion, improper arrangements, or the nature of activities. Furthermore, we show sub-community clusters could be identified revealing clear biases based on the demographic characteristics. Based on this case study, we also give suggestions on using the proposed system for other large-scale events.
Starting Page	547
Ending Page	558
Page Count	12
File Format	PDF
ISBN	9781450335744
DOI	10.1145/2750858.2807548
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-09-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Bluetooth low energy-based data collection Crowd sensing Group dynamics analysis Hajj pilgrimage
Content Type	Text
Resource Type	Article

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