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CrowdMeter: Congestion Level Estimation in Railway Stations Using Smartphones
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CrowdMeter: Congestion Level Estimation in Railway Stations Using Smartphones (2018)CrowdMeter: Congestion Level Estimation i…TransitLabel (2016)TransitLabelSpatiotemporal Segmentation of Metro Trips Using Smart Card Data (2015)Spatiotemporal Segmentation o…Sensing WiFi packets in the air (2014)Sensing WiFi packets in the a…Crowd Density Estimation for Public Transport Vehicles (2014)Crowd Density Estimation for …Avoiding the crowds (2012)Avoiding the crowdsHow smart is your smartcard? (2011)How smart is your smartcard?Pedestrian Travel Behavior Modeling (2005)Pedestrian Travel Behavior Mo…Estimating Passenger Queue for Bus Resource Optimization Using LoRaWAN-Enabled Ultrasonic Sensors (2022)Estimating Passenger Queue fo…CountMeIn: Adaptive Crowd Estimation with Wi-Fi in Smart Cities (2022)CountMeIn: Adaptive Crowd Est…Trans-Sense: Real Time Transportation Schedule Estimation Using Smart Phones (2019)Trans-Sense: Real Time Transp…CrowdMeter: Gauging congestion level in railway stations using smartphones (2019)CrowdMeter: Gauging congestio…MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA (2006)Smart card data use in public transit: A literature review (2011)Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system (2012)IS2Fun: Identification of Subway Station Functions Using Massive Urban Data (2017)Applications of transit smart cards beyond a fare collection tool: a literature review (2018)Perspectives on stability and mobility of transit passenger's travel behaviour through smart card data (2019)Route Choice: Wayfinding in Transport Networks (1990)A learning-based transportation oriented simulation system (2003)Controlled Markov Processes and Viscosity Solutions (2005)Exploring Patterns of Movement Suspension in Pedestrian Mobility. 行人移动停靠模式的探索性分析 (2011)Spatiotemporal distribution of urban walking tourists by season using GPS-based smartphone application (2018)Thinking relationally about built environments and walkability: A study of adult walking behavior in Waterloo, Ontario (2020)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Travel Time and Transfer Analysis Using Transit Smart Card Data (2010)Pervasive Technology and Public Transport: Opportunities Beyond Telematics (2012)Identification and classification of public transport activity centres in Stockholm using passenger flows data (2015)A Review of Big Data Applications in Urban Transit Systems (2020)Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity? (2007)Zero as a Special Price: The True Value of Free Products (2007)Understanding mobility based on GPS data (2008)Individuals among commuters: Building personalised transport information services from fare collection systems (2012)Your Money's No Good Here (2015)A mixture model clustering approach for temporal passenger pattern characterization in public transport (2016)Inferring friendship network structure by using mobile phone data (2009)Automatically characterizing places with opportunistic crowdsensing using smartphones (2012)Human mobility modeling at metropolitan scales (2012)Forecasting urban dynamics with mobility logs by bilinear Poisson regression (2015)SocialProbe (2016)WiFi Sensing System for Monitoring Public Transportation Ridership: A Case Study (2020)EasyTracker (2011)Tracking unmodified smartphones using wi-fi monitors (2012)Public transport occupancy estimation using WLAN probing (2016)A Field Study of Internet of Things-Based Solutions for Automatic Passenger Counting (2021)A Novel Bus-Dispatching Model Based on Passenger Flow and Arrival Time Prediction (2019)A multiobjective single bus corridor scheduling using machine learning-based predictive models (2020)Mobility Detection Using Everyday GSM Traces (2006)Smartphone Sensing Meets Transport Data: A Collaborative Framework for Transportation Service Analytics (2017)Towards Ubiquitous Accessibility Digital Maps for Smart Cities (2017)Origin-Destination Tracking Analysis of an Intelligent Transit Bus System using Internet of Things (2019)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)WiFiPi: Involuntary tracking of visitors at mass events (2013)Crowding in public transport: Who cares and why? (2017)Characterizing Wi-Fi Probing Behavior for Privacy-Preserving Crowdsensing (2022)TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data (2024)Estimating People Flow and Crowdedness for Various Urban Environments Based on BLE Signal Sensing: Practical Studies (2025)
this work references cited by second hop

References

  • 2005Pedestrian Travel Behavior Modeling114 cited
  • 2012Avoiding the crowds86 cited
  • 2016TransitLabel75 cited
  • 2011How smart is your smartcard?74 cited
  • 2015Spatiotemporal Segmentation of Metro Trips Using Smart Card Data58 cited
  • 2014Crowd Density Estimation for Public Transport Vehicles55 cited
  • 2014Sensing WiFi packets in the air54 cited

Cited by

  • 2022CountMeIn: Adaptive Crowd Estimation with Wi-Fi in Smart Cities18 cited
  • 2019CrowdMeter: Gauging congestion level in railway stations using smartphones11 cited
  • 2022Estimating Passenger Queue for Bus Resource Optimization Using LoRaWAN-Enabled Ultrasonic Sensors8 cited
  • 2019Trans-Sense: Real Time Transportation Schedule Estimation Using Smart Phones4 cited

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