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Statistical Modelling for Estimation of OD Matrices for Public Transport Using Wi-Fi and APC Data
6 references·8 citing·40 second hop
Statistical Modelling for Estimation of OD Matrices for Public Transport Using Wi-Fi and APC Data (2018)Statistical Modelling for Estimation of O…Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data (2017)Estimating Bus Loads and OD F…Counting public transport passenger using WiFi signatures of mobile devices (2017)Counting public transport pas…Use of Mobile Device Wireless Signals to Determine Transit Route-Level Passenger Origin–Destination Flows: Methodology and Empirical Evaluation (2016)Use of Mobile Device Wireless…Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit (2016)Estimation of Origin and Dest…Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)Bus Passenger Origin-Destinat…Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems (2006)Bus passenger Origin-Destinat…Origin–destination matrices from smartphone apps for bus networks (2024)Origin–destination matrices f…Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data (2024)Estimation of dynamic Origin–…A Machine Learning Approach to Estimate Public Transport Ridership Using Wi-Fi Data (2024)A Machine Learning Approach t…Online Public Transit Ridership Monitoring Through Passive WiFi Sensing (2023)Online Public Transit Ridersh…Bayesian Estimation of Passenger Boardings at Bus Stops Using Wi-Fi Probe Requests (2023)Bayesian Estimation of Passen…Overview of Wi-Fi-Based Automatic Passenger Counting Solutions in Public Urban Transport (2022)Overview of Wi-Fi-Based Autom…Bus OD matrix reconstruction based on clustering Wi-Fi probe data (2021)Bus OD matrix reconstruction …Bus passenger counts using Wi-Fi signals: some cautionary findings (2019)Bus passenger counts using Wi…The potential of public transport smart card data (2005)Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data (2013)Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Crowding valuation in urban tram and bus transportation based on smart card data (2018)Smart card data use in public transit: A literature review (2011)Transit smart card data mining for passenger origin information extraction (2012)Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices (2020)WiFi Sensing System for Monitoring Public Transportation Ridership: A Case Study (2020)Tracking unmodified smartphones using wi-fi monitors (2012)Validating travel behavior estimated from smartcard data (2014)Support vector machine and back propagation neutral network approaches for trip mode prediction using mobile phone data (2018)Estimation of walking patterns in a touristic area with Wi-Fi packet sensors (2021)Survey of Automated Fare Collection Solutions in Public Transportation (2022)Bus frequency determination using passenger count data (1984)A Method for Bus OD Matrix Estimation Using Multisource Data (2020)Estimating the route-level passenger demand profile from bus dwell times (2021)Using Wi-Fi probe requests from mobile phones to quantify the impact of pedestrian flows on retail turnover (2021)Analyzing Cell Phone Location Data for Urban Travel (2015)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Utilizing Wi-Fi Sensing and an Optimized Radius Algorithm to Count Passengers with Transfers to Enhance Bus Transit O-D Matrix (2022)Smartphone-Based Wi-Fi Analysis for Bus Passenger Counting (2024)Use of Entry-Only Automatic Fare Collection Data to Estimate Linked Transit Trips in New York City (2009)A two-phase optimization model for the demand-responsive customized bus network design (2019)An empirical study on the stochastic long-term travel demands of a large-scale metro network (2024)Estimating Bus Passenger Origin-Destination Flow via Passenger Reidentification Using Video Images (2025)A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data (2015)Understanding commuting patterns using transit smart card data (2016)Prediction method development for metro station and exit ridership based on the surrounding urban built environment evaluation (2025)Understanding individual human mobility patterns (2008)Modelling Transport (2011)Accuracy of Automatic Passenger Counting in Open Mass Transit Systems: Insights from Italy (2025)Augmenting Transit Trip Characterization and Travel Behavior Comprehension (2010)Deep‐learning architecture to forecast destinations of bus passengers from entry‐only smart‐card data (2017)Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus (2018)Empirical Study on the Accuracy and Precision of Automatic Passenger Counting in European Bus Services (2019)A Field Study of Internet of Things-Based Solutions for Automatic Passenger Counting (2021)GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data (2022)
this work references cited by second hop

References

  • 2011Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems217 cited
  • 2006Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems97 cited
  • 2016Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit76 cited
  • 2017Counting public transport passenger using WiFi signatures of mobile devices60 cited
  • 2017Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data36 cited
  • 2016Use of Mobile Device Wireless Signals to Determine Transit Route-Level Passenger Origin–Destination Flows: Methodology and Empirical Evaluation31 cited

Cited by

  • 2023Online Public Transit Ridership Monitoring Through Passive WiFi Sensing18 cited
  • 2019Bus passenger counts using Wi-Fi signals: some cautionary findings18 cited
  • 2021Bus OD matrix reconstruction based on clustering Wi-Fi probe data15 cited
  • 2024Origin–destination matrices from smartphone apps for bus networks13 cited
  • 2022Overview of Wi-Fi-Based Automatic Passenger Counting Solutions in Public Urban Transport10 cited
  • 2024Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data9 cited
  • 2024A Machine Learning Approach to Estimate Public Transport Ridership Using Wi-Fi Data8 cited

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  • 2023Bayesian Estimation of Passenger Boardings at Bus Stops Using Wi-Fi Probe Requests4 cited