Localising crowds through Wi-Fi probes

F Potortì, A Crivello, M Girolami, P Barsocchi… - Ad Hoc Networks, 2018 - Elsevier
Most of us carry mobile devices that routinely disseminate radio messages, as is the case
with Wi-Fi scanning and Bluetooth beaconing. We investigate whether it is possible to …

[引用][C] A technical review of cisco's wi-fi-based location analytics

J Little, B O'Brien - Cisco White Paper, 2013

Automatic wireless mapping and tracking system for indoor location

AS Mendes, G Villarrubia, J Caridad, H Daniel… - Neurocomputing, 2019 - Elsevier
Automatic vehicle tracking systems ease the completion of numerous tasks in different fields.
Moreover they can automatically capture information, this feature allows to perform location …

Analyzing large-scale human mobility data: a survey of machine learning methods and applications

E Toch, B Lerner, E Ben-Zion, I Ben-Gal - Knowledge and Information …, 2019 - Springer
Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

Pedestrian activity pattern mining in wifi-network connection data

G Poucin, B Farooq, Z Patterson - 2016 - trid.trb.org
This article proposes a methodology to mine valuable information about pedestrian use of a
facility based only on the WiFi network connection history data. Data are collected in …

IoT-based mobility tracking for smart city applications

K Gebru, C Casetti, CF Chiasserini… - … on Networks and …, 2020 - ieeexplore.ieee.org
The proliferation of IoT devices and the growing deployment of 5G networks combine to
provide the perfect ecosystem for advanced smart city use cases. In this paper, we address …

WiFi fingerprint clustering for urban mobility analysis

SH Marakkalage, BPL Lau, Y Zhou, R Liu… - IEEE …, 2021 - ieeexplore.ieee.org
In this paper, we present an unsupervised learning approach to identify the user points of
interest (POI) by exploiting WiFi measurements from smartphone application data. Due to …

Mining human mobility data to discover locations and habits

T Andrade, B Cancela, J Gama - … 16–20, 2019, Proceedings, Part II, 2020 - Springer
Many aspects of life are associated with places of human mobility patterns and nowadays
we are facing an increase in the pervasiveness of mobile devices these individuals carry …

[PDF][PDF] Towards estimating the presence of visitors from the aggregate mobile phone network activity they generate

F Girardin, A Vaccari, A Gerber, A Biderman… - Intl. Conference on …, 2009 - girardin.org
This paper illustrates how aggregated mobile phone network activity logs provide
anonymous information that reveals valuable insight into the presence of tourists visiting a …

Understanding crowd behaviors in a social event by passive wifi sensing and data mining

Y Zhou, BPL Lau, Z Koh, C Yuen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Understanding crowd behaviors in a large social event is crucial for event management.
Passive WiFi sensing, by collecting WiFi probe requests sent from mobile devices, provides …