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Daily O-D Matrix Estimation using Cellular Probe Data
9 references·16 citing·44 second hop
Daily O-D Matrix Estimation using Cellular Probe Data (2010)Daily O-D Matrix Estimation using Cellula…Deriving origin–destination data from a mobile phone network (2007)Deriving origin–destination d…Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument (2007)Analysis of tourist behaviour…Household travel surveys: Where are we going? (2006)Household travel surveys: Whe…Cellular-Based Data-Extracting Method for Trip Distribution (2006)Cellular-Based Data-Extractin…Some comments on origin–destination matrix estimation (2003)Some comments on origin–desti…Extracting origin destination information from mobile phone data (2002)Extracting origin destination…Estimation of dynamic origin–destination trip tables for a general network (2001)Estimation of dynamic origin–…Estimation of Origin-Destination Matrices Using Traffic Counts (1998)Estimation of Origin-Destinat…Estimation of Origin-Destination Matrices Using Traffic Counts - A Literature Survey (1998)Estimation of Origin-Destinat…Efficient pedestrian and bicycle traffic flow estimation combining mobile-sourced data with route choice prediction (2025)Efficient pedestrian and bicy…Determination of Urban Traveling Patterns With High Spatial and Temporal Resolution by Using GPS Cell Phone Data (2024)Determination of Urban Travel…Predicting Traveling Distances and Unveiling Mobility and Activity Patterns of Individuals from Multisource Data (2020)Predicting Traveling Distance…Origin-Destination Trips Generated from Operational Data of a Mobile Network for Urban Transportation Planning (2020)Origin-Destination Trips Gene…Modelling cellphone trace travel mode with neural networks using transit smartcard and home interview survey data (2020)Modelling cellphone trace tra…Estimating Commuting Patterns from High Resolution Phone GPS Data (2019)Estimating Commuting Patterns…Trip chain extraction using smartphone-collected trajectory data (2017)Trip chain extraction using s…Investigating the Use of Anonymous Cellular Data for Intercity Travel Patterns in Alberta (2017)Investigating the Use of Anon…Fast Food Data: Where User‐Generated Content Works and Where It Does Not (2017)Fast Food Data: Where User‐Ge…Using crowd sensed data as input to congestion model (2016)Using crowd sensed data as in…Joint leisure travel optimization with user-generated data via perceived utility maximization (2016)Joint leisure travel optimiza…Demand-responsive public transportation re-scheduling for adjusting to the joint leisure activity demand (2016)Demand-responsive public tran…Optimizing Leisure Travel: Is BigData Ready to Improve the Joint Leisure Activities Efficiency? (2015)Optimizing Leisure Travel: Is…A utility-maximization model for retrieving users’ willingness to travel for participating in activities from big-data (2015)A utility-maximization model …Deriving Operational Origin-Destination Matrices From Large Scale Mobile Phone Data (2013)Deriving Operational Origin-D…MobilePulse: Dynamic profiling of land use pattern and OD matrix estimation from 10 million individual cell phone records in Shanghai (2011)MobilePulse: Dynamic profilin…A statistical theory of spatial distribution models (1967)The most likely trip matrix estimated from traffic counts (1980)Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach (1983)Using probe data to estimate OD matrices (2005)The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies (2018)Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys (2020)Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator (1984)Statistical inference for time varying origin–destination matrices (2008)Estimation of origin–destination matrices from link counts and sporadic routing data (2011)Estimation of mean and covariance of peak hour origin–destination demands from day-to-day traffic counts (2014)Understanding individual human mobility patterns (2008)Processing Raw Data from Global Positioning Systems without Additional Information (2009)Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Improving A Priori Demand Estimates Transport Models using Mobile Phone Data: A Rotterdam-Region Case (2018)Modelling long-distance route choice using mobile phone call detail record data: a case study of Senegal (2019)Revealing personal activities schedules from synthesizing multi-period origin-destination matrices (2020)Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts (1993)Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows (2002)Bayesian Demand Calibration for Dynamic Traffic Simulations (2011)Estimation of Dynamic Origin–Destination Matrices Using Linear Assignment Matrix Approximations (2012)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Children's Independent Movement in the Local Environment (2007)Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study (2010)A GPS/GIS method for travel mode detection in New York City (2011)Can using global positioning system (GPS) improve trip reporting? (1999)Travel behaviour research : the leading edge (2001)A Social Network Analysis of Overseas Tourist Movement Patterns in Beijing: the Impact of the Olympic Games (2011)Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos (2014)Exploring spatio-temporal changes of city inbound tourism flow: The case of Shanghai, China (2019)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile phone data from GSM networks for traffic parameter and urban spatial pattern assessment: a review of applications and opportunities (2011)Traffic zone division based on big data from mobile phone base stations (2015)Transport modelling in the age of big data (2017)Implementation and Computational Issues for Combined Models of Location, Destination, Mode, and Route Choice (1983)On combining maximum entropy trip matrix estimation with user optimal assignment (1988)Trip matrix estimation from link traffic counts: The congested network case (1989)Using GIS tools to estimate CO2 emissions related to the accessibility of large retail stores in the Oulu region, Finland (2010)Location-Based Social Networking Data (2014)Evaluating long‐distance travel patterns in Israel by tracking cellular phone positions (2011)Passive Mobile Phone Dataset to Construct Origin-destination Matrix: Potentials and Limitations (2015)Updating origin–destination matrices with aggregated data of GPS traces (2016)Origin-Destination Estimation for Non-Commuting Trips Using Location-Based Social Networking Data (2014)From cellular positioning data to trajectories: Steps towards a more accurate mobility exploration (2020)An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques (2024)
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References

  • 2006Household travel surveys: Where are we going?317 cited
  • 2007Deriving origin–destination data from a mobile phone network270 cited
  • 2007Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument134 cited
  • 1998Estimation of Origin-Destination Matrices Using Traffic Counts - A Literature Survey108 cited
  • 2001Estimation of dynamic origin–destination trip tables for a general network106 cited
  • 2002Extracting origin destination information from mobile phone data99 cited
  • 2003Some comments on origin–destination matrix estimation90 cited
  • 2006Cellular-Based Data-Extracting Method for Trip Distribution63 cited
  • 1998Estimation of Origin-Destination Matrices Using Traffic Counts52 cited

Cited by

  • 2013Deriving Operational Origin-Destination Matrices From Large Scale Mobile Phone Data38 cited
  • 2015A utility-maximization model for retrieving users’ willingness to travel for participating in activities from big-data31 cited
  • 2016Demand-responsive public transportation re-scheduling for adjusting to the joint leisure activity demand31 cited
  • 2017Fast Food Data: Where User‐Generated Content Works and Where It Does Not23 cited
  • 2016Joint leisure travel optimization with user-generated data via perceived utility maximization

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23 cited
  • 2019Estimating Commuting Patterns from High Resolution Phone GPS Data22 cited
  • 2017Trip chain extraction using smartphone-collected trajectory data19 cited
  • 2011MobilePulse: Dynamic profiling of land use pattern and OD matrix estimation from 10 million individual cell phone records in Shanghai18 cited
  • 2020Origin-Destination Trips Generated from Operational Data of a Mobile Network for Urban Transportation Planning16 cited
  • 2020Modelling cellphone trace travel mode with neural networks using transit smartcard and home interview survey data10 cited
  • 2017Investigating the Use of Anonymous Cellular Data for Intercity Travel Patterns in Alberta8 cited
  • 2025Efficient pedestrian and bicycle traffic flow estimation combining mobile-sourced data with route choice prediction6 cited
  • 2024Determination of Urban Traveling Patterns With High Spatial and Temporal Resolution by Using GPS Cell Phone Data5 cited
  • 2016Using crowd sensed data as input to congestion model4 cited
  • 2020Predicting Traveling Distances and Unveiling Mobility and Activity Patterns of Individuals from Multisource Data4 cited
  • 2015Optimizing Leisure Travel: Is BigData Ready to Improve the Joint Leisure Activities Efficiency?4 cited