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Estimating bus passenger volume based on a Wi-Fi scanner survey
10 references·8 citing·43 second hop
Estimating bus passenger volume based on a Wi-Fi scanner survey (2020)Estimating bus passenger volume based on …WiFi Scanner Technologies for Obtaining Travel Data about Circulator Bus Passengers: Case Study in Obuse, Nagano Prefecture, Japan (2018)WiFi Scanner Technologies for…Improving A Priori Demand Estimates Transport Models using Mobile Phone Data: A Rotterdam-Region Case (2018)Improving A Priori Demand Est…Development and Testing of a Real-Time WiFi-Bluetooth System for Pedestrian Network Monitoring, Classification, and Data Extrapolation (2018)Development and Testing of a …Origin-Destination Trip Matrix Development: Conventional Methods versus Mobile Phone Data (2017)Origin-Destination Trip Matri…Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit (2016)Estimation of Origin and Dest…Tracking Human Mobility Using WiFi Signals (2015)Tracking Human Mobility Using…Sustainable Urban Transport in the Developing World: Beyond Megacities (2015)Sustainable Urban Transport i…Assessment of antenna characteristic effects on pedestrian and cyclists travel-time estimation based on Bluetooth and WiFi MAC addresses (2015)Assessment of antenna charact…Reliability of Bluetooth Technology for Travel Time Estimation (2013)Reliability of Bluetooth Tech…Tracking unmodified smartphones using wi-fi monitors (2012)Tracking unmodified smartphon…Smartphone-Based Wi-Fi Analysis for Bus Passenger Counting (2024)Smartphone-Based Wi-Fi Analys…Inferring travel patterns and the attractiveness of touristic areas based on fusing Wi-Fi sensing data and GPS traces with a Kyoto case study (2024)Inferring travel patterns and…A Machine Learning Approach to Estimate Public Transport Ridership Using Wi-Fi Data (2024)A Machine Learning Approach t…Bayesian Estimation of Passenger Boardings at Bus Stops Using Wi-Fi Probe Requests (2023)Bayesian Estimation of Passen…Utilizing Wi-Fi Sensing and an Optimized Radius Algorithm to Count Passengers with Transfers to Enhance Bus Transit O-D Matrix (2022)Utilizing Wi-Fi Sensing and a…UAI-FI: using artificial intelligence for automatic passenger counting through Wi-Fi and GPS data (2022)UAI-FI: using artificial inte…Overview of Wi-Fi-Based Automatic Passenger Counting Solutions in Public Urban Transport (2022)Overview of Wi-Fi-Based Autom…Integrating high-frequency data in a GIS environment for pedestrian congestion monitoring (2022)Integrating high-frequency da…The composition of public expenditure and economic growth (1996)Sustainability and Cities: Overcoming Automobile Dependence (1999)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Determining the service quality of the city bus service based on users’ perceptions and expectations (2018)Geographical patterns of traffic congestion in growing megacities: Big data analytics from Beijing (2019)Transport energy consumption and environmental quality: Does urbanization matter? 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(2015)A Study of MAC Address Randomization in Mobile Devices and When it Fails (2017)Plate scanning tools to obtain travel times in traffic networks (2017)Identifying road user classes based on repeated trip behaviour using Bluetooth data (2018)Data to the people: a review of public and proprietary data for transport models (2021)A data driven method for OD matrix estimation (2019)The Pedestrian Network Concept: A Systematic Literature Review (2023)Evaluating the relationship between walking and street characteristics based on big data and machine learning analysis (2024)
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References

  • 2015Sustainable Urban Transport in the Developing World: Beyond Megacities662 cited
  • 2012Tracking unmodified smartphones using wi-fi monitors256 cited
  • 2015Tracking Human Mobility Using WiFi Signals141 cited
  • 2015Assessment of antenna characteristic effects on pedestrian and cyclists travel-time estimation based on Bluetooth and WiFi MAC addresses84 cited
  • 2016Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit76 cited
  • 2018Development and Testing of a Real-Time WiFi-Bluetooth System for Pedestrian Network Monitoring, Classification, and Data Extrapolation60 cited
  • 2017Origin-Destination Trip Matrix Development: Conventional Methods versus Mobile Phone Data49 cited
  • 2013Reliability of Bluetooth Technology for Travel Time Estimation44 cited
  • 2018WiFi Scanner Technologies for Obtaining Travel Data about Circulator Bus Passengers: Case Study in Obuse, Nagano Prefecture, Japan35 cited
  • 2018Improving A Priori Demand Estimates Transport Models using Mobile Phone Data: A Rotterdam-Region Case30 cited

Cited by

  • 2022Integrating high-frequency data in a GIS environment for pedestrian congestion monitoring17 cited
  • 2022Overview of Wi-Fi-Based Automatic Passenger Counting Solutions in Public Urban Transport10 cited
  • 2022Utilizing Wi-Fi Sensing and an Optimized Radius Algorithm to Count Passengers with Transfers to Enhance Bus Transit O-D Matrix

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9 cited
  • 2024A Machine Learning Approach to Estimate Public Transport Ridership Using Wi-Fi Data8 cited
  • 2024Inferring travel patterns and the attractiveness of touristic areas based on fusing Wi-Fi sensing data and GPS traces with a Kyoto case study8 cited
  • 2024Smartphone-Based Wi-Fi Analysis for Bus Passenger Counting4 cited
  • 2022UAI-FI: using artificial intelligence for automatic passenger counting through Wi-Fi and GPS data4 cited
  • 2023Bayesian Estimation of Passenger Boardings at Bus Stops Using Wi-Fi Probe Requests4 cited