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BLESS: BLE based Street Sensing for People Counting and Flow Direction Estimation
4 references·1 citing·23 second hop
BLESS: BLE based Street Sensing for People Counting and Flow Direction Estimation (2024)BLESS: BLE based Street Sensing for Peopl…Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining (2020)Understanding Crowd Behaviors…Identifying Movements in Noisy Crowd Analytics Data (2018)Identifying Movements in Nois…Development and Testing of a Real-Time WiFi-Bluetooth System for Pedestrian Network Monitoring, Classification, and Data Extrapolation (2018)Development and Testing of a …Estimating Pedestrian Densities, Wait Times, and Flows with Wi-Fi and Bluetooth Sensors (2017)Estimating Pedestrian Densiti…Estimating People Flow and Crowdedness for Various Urban Environments Based on BLE Signal Sensing: Practical Studies (2025)Estimating People Flow and Cr…WiFiPi: Involuntary tracking of visitors at mass events (2013)A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures (2014)Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium (2014)WiFi Sensing System for Monitoring Public Transportation Ridership: A Case Study (2020)Estimation of walking patterns in a touristic area with Wi-Fi packet sensors (2021)Extracting places from traces of locations (2004)Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning (2014)Tracking spatio-temporal movement of human in terms of space utilization using Media-Access-Control address data (2014)IoT-based Mobility Tracking for Smart City Applications (2020)PmA: A real-world system for people mobility monitoring and analysis based on Wi-Fi probes (2020)A Privacy-preserving Scheme for Passive Monitoring of People’s Flows through WiFi Beacons (2022)Deriving origin–destination data from a mobile phone network (2007)Tracking unmodified smartphones using wi-fi monitors (2012)Assessment of antenna characteristic effects on pedestrian and cyclists travel-time estimation based on Bluetooth and WiFi MAC addresses (2015)Pedestrian and Bicycle Volume Data Collection Using Drone Technology (2020)Evaluating the relationship between walking and street characteristics based on big data and machine learning analysis (2024)An Analysis of Visitors' Behavior in the Louvre Museum: A Study Using Bluetooth Data (2014)Indoor Location Data for Tracking Human Behaviours: A Scoping Review (2022)Internet of Things Data Visualization for Business Intelligence (2022)Zooming into mobility to understand cities: A review of mobility-driven urban studies (2022)The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities (2011)An Internet-of-Things Enabled Connected Navigation System for Urban Bus Riders (2016)Estimating bus passenger volume based on a Wi-Fi scanner survey (2020)
this work references cited by second hop

References

  • 2020Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining77 cited
  • 2017Estimating Pedestrian Densities, Wait Times, and Flows with Wi-Fi and Bluetooth Sensors75 cited
  • 2018Development and Testing of a Real-Time WiFi-Bluetooth System for Pedestrian Network Monitoring, Classification, and Data Extrapolation60 cited
  • 2018Identifying Movements in Noisy Crowd Analytics Data22 cited

Cited by

  • 2025Estimating People Flow and Crowdedness for Various Urban Environments Based on BLE Signal Sensing: Practical Studies3 cited

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