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GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data
13 references·4 citing·39 second hop
GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data (2022)GLTC: A Metro Passenger Identification Me…Spatio-temporal trajectory estimation based on incomplete Wi-Fi probe data in urban rail transit network (2020)Spatio-temporal trajectory es…Data-driven model for passenger route choice in urban metro network (2019)Data-driven model for passeng…Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Spatio-Temporal Analysis of P…Learning the route choice behavior of subway passengers from AFC data (2017)Learning the route choice beh…Counting public transport passenger using WiFi signatures of mobile devices (2017)Counting public transport pas…Understanding commuting patterns using transit smart card data (2016)Understanding commuting patte…Estimation of Passenger Route Choice Pattern Using Smart Card Data for Complex Metro Systems (2016)Estimation of Passenger Route…Automatic user identification method across heterogeneous mobility data sources (2016)Automatic user identification…Inferring the route-use patterns of metro passengers based only on travel-time data within a Bayesian framework using a reversible-jump Markov chain Monte Carlo (MCMC) simulation (2015)Inferring the route-use patte…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Spatial-Temporal Daily Frequent Trip Pattern of Public Transport Passengers Using Smart Card Data (2012)Spatial-Temporal Daily Freque…Model of Passenger Flow Assignment for Urban Rail Transit Based on Entry and Exit Time Constraints (2012)Model of Passenger Flow Assig…Travel Pattern Analysis Using Smart Card Data of Regular Users (2011)Travel Pattern Analysis Using…TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data (2024)TransitCrowd: Estimating Subw…Route choice modelling for an urban rail transit network: past, recent progress and future prospects (2024)Route choice modelling for an…A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering Incomplete Observations (2024)A Spatiotemporal Probabilisti…A modeling framework to integrate frequency - and schedule-based passenger assignment approaches for coordinated path choice and space-time trajectory estimation based on multi-source observations (2024)A modeling framework to integ…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)The potential of public transport smart card data (2005)Measuring transit use variability with smart-card data (2007)Clustering Vehicle Temporal and Spatial Travel Behavior Using License Plate Recognition Data (2017)Exploring the difference between ridership patterns of subway and taxi: Case study in Seoul (2017)Urban transportation networks: Equilibrium analysis with mathematical programming methods (1986)Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future (2001)Urban Human Mobility (2019)A Review of Big Data Applications in Urban Transit Systems (2020)Understanding individual human mobility patterns (2008)Inferring social ties from geographic coincidences (2010)LORE (2014)DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data (2019)User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data (2020)A Trajectory-Based User Movement Pattern Similarity Measure for User Identification (2023)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)STATISTICAL DECISION THEORY: FOUNDATIONS, CONCEPTS, AND METHODS (1984)Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground (2010)Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal (2011)Passenger flow control with multi-station coordination in subway networks: algorithm development and real-world case study (2018)Growth, innovation, scaling, and the pace of life in cities (2007)Limits of Predictability in Human Mobility (2010)Data-driven approach for solving the route choice problem with traveling backward behavior in congested metro systems (2020)Passenger arrival distribution model and riding guidance on an urban rail transit platform (2021)Passenger itinerary inference model for congested urban rail networks (2021)Precise estimation of connections of metro passengers from Smart Card data (2015)Schedule-Based Rail Transit Path-Choice Estimation using Automatic Fare Collection Data (2015)Combining ITS and optimization in public transportation planning: state of the art and future research paths (2019)Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus (2018)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)Smart Card Data Mining of Public Transport Destination: A Literature Review (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)Analyzing the impact of fare-free public transport policies on crowding patterns at stations using crowdsensing data (2023)
this work references cited by second hop

References

  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2016Understanding commuting patterns using transit smart card data351 cited
  • 2017Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data191 cited
  • 2016Estimation of Passenger Route Choice Pattern Using Smart Card Data for Complex Metro Systems134 cited
  • 2017Learning the route choice behavior of subway passengers from AFC data90 cited
  • 2012Model of Passenger Flow Assignment for Urban Rail Transit Based on Entry and Exit Time Constraints78 cited
  • 2012Spatial-Temporal Daily Frequent Trip Pattern of Public Transport Passengers Using Smart Card Data66 cited
  • 2017Counting public transport passenger using WiFi signatures of mobile devices60 cited
  • 2019Data-driven model for passenger route choice in urban metro network52 cited
  • 2016Automatic user identification method across heterogeneous mobility data sources44 cited
  • 2015Inferring the route-use patterns of metro passengers based only on travel-time data within a Bayesian framework using a reversible-jump Markov chain Monte Carlo (MCMC) simulation43 cited
  • 2011Travel Pattern Analysis Using Smart Card Data of Regular Users32 cited
  • 2020Spatio-temporal trajectory estimation based on incomplete Wi-Fi probe data in urban rail transit network28 cited

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2024
A modeling framework to integrate frequency - and schedule-based passenger assignment approaches for coordinated path choice and space-time trajectory estimation based on multi-source observations
20 cited
  • 2024Route choice modelling for an urban rail transit network: past, recent progress and future prospects13 cited
  • 2024TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data8 cited
  • 2024A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering Incomplete Observations4 cited