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Analyzing Pedestrian Flows Based on Wi-Fi and Bluetooth Captures
4 references·0 citing·19 second hop
Analyzing Pedestrian Flows Based on Wi-Fi and Bluetooth Captures (2015)Analyzing Pedestrian Flows Based on Wi-Fi…Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning (2014)Analysis methods for extracti…WiFiPi: Involuntary tracking of visitors at mass events (2013)WiFiPi: Involuntary tracking …Tracking unmodified smartphones using wi-fi monitors (2012)Tracking unmodified smartphon…The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities (2011)The use of Bluetooth for anal…Nericell (2008)VTrack (2009)Estimating arterial traffic conditions using sparse probe data (2010)How talkative is your mobile device? (2015)A Study of MAC Address Randomization in Mobile Devices and When it Fails (2017)Eigenplaces: Segmenting Space through Digital Signatures (2009)Automatically characterizing places with opportunistic crowdsensing using smartphones (2012)SocialProbe (2016)Towards a smart campus: supporting campus decisions with Internet of Things applications (2020)Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining (2020)The scaling laws of human travel (2006)Dynamics of crowd disasters: An empirical study (2007)Understanding individual human mobility patterns (2008)The use of tracking technologies in tourism research: the first decade (2016)Big data in tourism research: A literature review (2018)The potential impacts of digital technologies on co-production and co-creation (2019)Human mobility characterization from cellular network data (2013)Big data or small data? A methodological review of sustainable tourism (2019)Data collection methods for studying pedestrian behaviour: A systematic review (2020)
this work references cited by second hop

References

  • 2012Tracking unmodified smartphones using wi-fi monitors266 cited
  • 2011The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities226 cited
  • 2014Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning112 cited
  • 2013WiFiPi: Involuntary tracking of visitors at mass events98 cited

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