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Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices
12 references·11 citing·36 second hop
Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices (2020)Monitoring Public Transit Ridership Flow …Understanding commuting patterns using transit smart card data (2016)Understanding commuting patte…Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit (2016)Estimation of Origin and Dest…A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data (2015)A modified Density-Based Scan…Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Transit smart card data mining for passenger origin information extraction (2012)Transit smart card data minin…Urban Transit Systems and Technology (2007)Urban Transit Systems and Tec…Measuring transit use variability with smart-card data (2007)Measuring transit use variabi…Urban Transit: Operations, Planning and Economics (2006)Urban Transit: Operations, Pl…Fuzzy sets (1996)Fuzzy setsALTERNATIVE METHODS TO ESTIMATE ROUTE-LEVEL TRIP TABLES AND EXPAND ON-BOARD SURVEYS (1985)ALTERNATIVE METHODS TO ESTIMA…Fuzzy sets (1965)Fuzzy setsTrends in Toronto’s Subway Ridership Recovery: An Exploratory Analysis of Wi-Fi Records (2024)Trends in Toronto’s Subway Ri…Mining smart card data to estimate transfer passenger flow in a metro network (2024)Mining smart card data to est…Exploring Passenger Satisfaction in Multimodal Railway Hubs: A Social Media-Based Analysis of Travel Behavior in China’s Major Rail Stations (2024)Exploring Passenger Satisfact…Estimating Bus Passenger Mobility with Wi-Fi Data and Clustering (2024)Estimating Bus Passenger Mobi…A Machine Learning Approach to Estimate Public Transport Ridership Using Wi-Fi Data (2024)A Machine Learning Approach t…The potential of Wi-Fi data to estimate bus passenger mobility (2023)The potential of Wi-Fi data t…Online Public Transit Ridership Monitoring Through Passive WiFi Sensing (2023)Online Public Transit Ridersh…Methodological Proposal for the Analysis of Urban Mobility Using Wi-Fi Data and Artificial Intelligence Techniques: The Case of Palma (2023)Methodological Proposal for t…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…Estimating Express Train Preference of Urban Railway Passengers Based on Extreme Gradient Boosting (XGBoost) using Smart Card Data (2021)Estimating Express Train Pref…A Survey of Technologies and Recent Developments for Sustainable Smart Cycling (2021)A Survey of Technologies and …Smart card data use in public transit: A literature review (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)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)Headway-based bus bunching prediction using transit smart card data (2016)Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach (2019)A Review of Big Data Applications in Urban Transit Systems (2020)Observing the rhythms of daily life: A six-week travel diary (2002)Clustering Smart Card Data for Urban Mobility Analysis (2016)Inferring patterns in the multi-week activity sequences of public transport users (2016)Public transport for smart cities: Recent innovations and future challenges (2022)Spatiotemporal Patterns of Urban Human Mobility (2012)Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus (2018)Smart Card Data Mining of Public Transport Destination: A Literature Review (2018)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)Introduction: Habitual travel choice (2003)The potential of public transport smart card data (2005)Passenger Segmentation Using Smart Card Data (2014)Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies (2014)Multiple Attribute Decision Making: Methods and Applications (1981)Lockdowned: Everyday mobility changes in response to COVID-19 (2020)The impacts of COVID-19 pandemic on public transit demand in the United States (2020)Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground (2010)Recent Developments in Bus Rapid Transit: A Review of the Literature (2010)BRT TOD: Leveraging transit oriented development with bus rapid transit investments (2014)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field (2010)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)User satisfaction with paratransit in competition with motorization in indonesia: anticipation of future implications (2007)Characterizing metro networks: state, form, and structure (2009)Analysis of a new public-transport-service concept: Customized bus in China (2015)
this work references cited by second hop

References

  • 1965Fuzzy sets67,827 cited
  • 1996Fuzzy sets46,880 cited
  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2007Urban Transit Systems and Technology524 cited
  • 2006Urban Transit: Operations, Planning and Economics524 cited
  • 2016Understanding commuting patterns using transit smart card data351 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2007Measuring transit use variability with smart-card data271 cited
  • 2012Transit smart card data mining for passenger origin information extraction93 cited
  • 2015A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data91 cited
  • 2016Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit76 cited
  • 1985ALTERNATIVE METHODS TO ESTIMATE ROUTE-LEVEL TRIP TABLES AND EXPAND ON-BOARD SURVEYS70 cited

Cited by

  • 2021A Survey of Technologies and Recent Developments for Sustainable Smart Cycling54 cited
  • 2021Estimating Express Train Preference of Urban Railway Passengers Based on Extreme Gradient Boosting (XGBoost) using Smart Card Data33 cited
  • 2023

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Online Public Transit Ridership Monitoring Through Passive WiFi Sensing
18 cited
  • 2023The potential of Wi-Fi data to estimate bus passenger mobility15 cited
  • 2024Exploring Passenger Satisfaction in Multimodal Railway Hubs: A Social Media-Based Analysis of Travel Behavior in China’s Major Rail Stations12 cited
  • 2024Mining smart card data to estimate transfer passenger flow in a metro network9 cited
  • 2022Utilizing Wi-Fi Sensing and an Optimized Radius Algorithm to Count Passengers with Transfers to Enhance Bus Transit O-D Matrix9 cited
  • 2024A Machine Learning Approach to Estimate Public Transport Ridership Using Wi-Fi Data8 cited
  • 2023Methodological Proposal for the Analysis of Urban Mobility Using Wi-Fi Data and Artificial Intelligence Techniques: The Case of Palma7 cited
  • 2024Estimating Bus Passenger Mobility with Wi-Fi Data and Clustering5 cited
  • 2024Trends in Toronto’s Subway Ridership Recovery: An Exploratory Analysis of Wi-Fi Records5 cited