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Generating Origin–Destination Matrices from Mobile Phone Trajectories
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Generating Origin–Destination Matrices from Mobile Phone Trajectories (2010)Generating Origin–Destination Matrices fr…Transportation Systems Engineering: Theory and Methods (2001)Transportation Systems Engine…The Estimation of an Origin-Destination Matrix from Traffic Counts (1983)The Estimation of an Origin-D…Sidewalk networks: Review and outlook (2023)Sidewalk networks: Review and…Visualizing population mobility from spatiotemporally aggregated mobile phone data via a 3D gradient approach (2022)Visualizing population mobili…Mobility Signatures: A Tool for Characterizing Cities Using Intercity Mobility Flows (2022)Mobility Signatures: A Tool f…Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy (2022)Generating synthetic mobility…A DBSCAN-based framework to mine travel patterns from origin-destination matrices: Proof-of-concept on proxy static OD from Brisbane (2021)A DBSCAN-based framework to m…Trip-Chain-Based Travel-Mode-Shares-Driven Framework using Cellular Signaling Data and Web-Based Mapping Service Data (2019)Trip-Chain-Based Travel-Mode-…Population-based simulation optimization for urban mass rapid transit networks (2019)Population-based simulation o…Origin-Destination Matrix Estimation Using Big Traffic Data: A Structural Perspective (2019)Origin-Destination Matrix Est…Multi-objective simulation optimization for complex urban mass rapid transit systems (2019)Multi-objective simulation op…Fusing mobile phone data with other data sources to generate input OD matrices for transport models (2019)Fusing mobile phone data with…Using Google’s Passive Data and Machine Learning for Origin-Destination Demand Estimation (2018)Using Google’s Passive Data a…Estimation of Hourly Link Population and Flow Directions from Mobile CDR (2018)Estimation of Hourly Link Pop…A simple and direct method to analyse the influences of sampling fractions on modelling intra-city human mobility (2018)A simple and direct method to…Analysis of Household Survey Sample Size in Trip Modelling Process (2016)Analysis of Household Survey …Urban Travel Demand Analysis for Austin, Texas, Using Location-Based Social Networking Data (2013)Urban Travel Demand Analysis …Inferring origin–destination trip matrices from aggregate volumes on groups of links: a case study using volumes inferred from mobile phone data (2011)Inferring origin–destination …Flows in Transportation Networks (1972)The most likely trip matrix estimated from traffic counts (1980)A linear programming approach for synthesizing origin-destination trip tables from link traffic volumes (1994)Potential Contributions of Spatial Analysis to Geographic Information Systems for Transportation (GIS‐T) (1999)Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation (2015)Urban transportation networks: Equilibrium analysis with mathematical programming methods (1986)Estimation of Origin-Destination Matrices Using Traffic Counts - A Literature Survey (1998)An approach to estimating and updating origin–destination matrices based upon traffic counts preserving the prior structure of a survey matrix (2004)Statistical models for the estimation of the origin-destination matrix from traffic counts (2017)Estimating the geographic distribution of originating air travel demand using a bi-level optimization model (2019)Revealing personal activities schedules from synthesizing multi-period origin-destination matrices (2020)SURVEY METHODS FOR TRANSPORT PLANNING (1995)Comprehensive regional modeling for long-range planning: linking integrated urban models and geographic information systems (2000)Reducing Burden and Sample Sizes in Multiday Household Travel Surveys (2008)ESTIMATION OF TRANSPORT ACCESSIBILITY IN CASE OF RATIONAL TRANSPORT HUB LOCATION (2021)Artificial Intelligence Techniques for Predicting Individuals’ Mode Choice Behavior in Mansoura City, Egypt (2023)Development of origin–destination matrices using mobile phone call data (2014)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)A Structural Comparison between the Origin-Destination Matrices Based on Local Windows with Socioeconomic, Land-Use, and Population Characteristics (2021)A framework for selecting bus priority system locations in medium-sized cities: Case study in Araraquara, Brazil (2022)Analyzing Cell Phone Location Data for Urban Travel (2015)The TimeGeo modeling framework for urban mobility without travel surveys (2016)Analysis of the Cycling Flow Between Origin and Destination for Dockless Shared Bicycles Based on Singular Value Decomposition (2019)Revisiting the Benefits of Combining Data of a Different Nature: Strategic Forecasting of New Mode Alternatives (2021)Use of Big Data in Transport Modelling (2021)Jobshop-Like Queueing Systems (1963)Smart card data use in public transit: A literature review (2011)A review of urban transportation network design problems (2013)Mining smart card data for transit riders’ travel patterns (2013)Revealing travel patterns and city structure with taxi trip data (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Bi-level clustering of vehicle trajectories for path choice set and its nested structure identification (2022)Classification and determinants of high-speed rail stations using multi-source data: A case study in Jiangsu Province, China (2023)Travel patterns and spatial structure: understanding winter tourism by trajectory data mining (2024)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models (2023)Learning Daily Human Mobility with a Transformer-Based Model (2024)Nationwide synthetic human mobility dataset construction from limited travel surveys and open data (2024)The Death and Life of Great American Cities (1962)Travel and the Built Environment (2010)Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities (2021)Pedestrian Accessibility Analysis of Sidewalk-Specific Networks: Insights from Three Latin American Central Squares (2024)Pedestrian-oriented development in Beirut: A framework for estimating urban design impacts on pedestrian flows through modeling, participatory design, and scenario analysis (2024)CoolWalks for active mobility in urban street networks (2025)NETWORK KNOWLEDGE AND ROUTE CHOICE (2002)A Stated Preference Experiment for Measuring Service Quality in Public Transport (2008)Route choice modeling: past, present and future research directions (2009)
this work references cited by second hop

References

  • 2001Transportation Systems Engineering: Theory and Methods591 cited
  • 1983The Estimation of an Origin-Destination Matrix from Traffic Counts189 cited

Cited by

  • 2023Sidewalk networks: Review and outlook53 cited
  • 2021A DBSCAN-based framework to mine travel patterns from origin-destination matrices: Proof-of-concept on proxy static OD from Brisbane49 cited
  • 2016Analysis of Household Survey Sample Size in Trip Modelling Process34 cited
  • 2019Fusing mobile phone data with other data sources to generate input OD matrices for transport models31 cited
  • 2011Inferring origin–destination trip matrices from aggregate volumes on groups of links: a case study using volumes inferred from mobile phone data30 cited
  • 2022Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy24 cited
  • 2019Multi-objective simulation optimization for complex urban mass rapid transit systems18 cited
  • 2018Using Google’s Passive Data and Machine Learning for Origin-Destination Demand Estimation16 cited
  • 2018A simple and direct method to analyse the influences of sampling fractions on modelling intra-city human mobility16 cited
  • 2018Estimation of Hourly Link Population and Flow Directions from Mobile CDR15 cited
  • 2019Trip-Chain-Based Travel-Mode-Shares-Driven Framework using Cellular Signaling Data and Web-Based Mapping Service Data14 cited

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  • 2013Urban Travel Demand Analysis for Austin, Texas, Using Location-Based Social Networking Data11 cited
  • 2019Population-based simulation optimization for urban mass rapid transit networks11 cited
  • 2022Mobility Signatures: A Tool for Characterizing Cities Using Intercity Mobility Flows10 cited
  • 2022Visualizing population mobility from spatiotemporally aggregated mobile phone data via a 3D gradient approach9 cited
  • 2019Origin-Destination Matrix Estimation Using Big Traffic Data: A Structural Perspective9 cited