Estimating Crowd Densities and Pedestrian Flows Using Wi-Fi and Bluetooth
Abstract
The rapid deployment of smartphones as all-purpose mobile computing systems has led to a wide adoption of wireless communication systems such as Wi-Fi and Bluetooth in mobile scenarios. Both communication systems leak information to the surroundings during operation. This information has been used
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References 19 · Cited by 180
- Authors
- Schauer, L., Werner, M., & Marcus, P.
- Affiliations
- Ludwig-Maximilians-Universität München (DE)
- Corresponding author
- Schauer, Lorenz
- ORCID
- Werner, Martin
- Venue
- Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
- Publisher
- ICST
- Published
- 2014
- OpenAlex
- W2118051615
- Cited by
- 180
- References
- 19
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 12 · 2023: 6 · 2022: 19 · 2021: 18 · 2020: 23 · 2019: 20 · 2018: 23 · 2017: 21 · 2016: 15 · 2015: 9
- FWCI
- 18.24
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Physical Sciences › Engineering › Ocean Engineering › Evacuation and Crowd Dynamics
- Keywords
- crowd density estimation, pedestrian flow estimation, Wi-Fi, Bluetooth, smartphone sensing, mobile sensing
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