SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Estimating traffic demand of different transportation modes using floating smartphone data
16 references·0 citing·31 second hop
Estimating traffic demand of different transportation modes using floating smartphone data (2024)Estimating traffic demand of different tr…Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys (2020)Exploring strengths and weakn…Visualising where commuting cyclists travel using crowdsourced data (2018)Visualising where commuting c…Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Inferring transportation mode…Exploiting floating car data for time-dependent Origin–Destination matrices estimation (2017)Exploiting floating car data …Estimating Pedestrian Densities, Wait Times, and Flows with Wi-Fi and Bluetooth Sensors (2017)Estimating Pedestrian Densiti…Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Estimation of a disaggregate …Generating Origin–Destination Matrices from Mobile Phone Trajectories (2010)Generating Origin–Destination…Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows (2002)Estimation and Prediction of …The estimation of origin-destination matrices by constrained generalised least squares (1991)The estimation of origin-dest…A unified framework for estimating or updating origin/destination matrices from traffic counts (1988)A unified framework for estim…Recursive estimation of origin-destination matrices from input/output counts (1987)Recursive estimation of origi…A maximum likelihood model for estimating origin-destination matrices (1987)A maximum likelihood model fo…Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator (1984)Estimation of trip matrices f…Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach (1983)Inferences on trip matrices f…The most likely trip matrix estimated from traffic counts (1980)The most likely trip matrix e…Estimating the O-D matrix from observed link volumes (1975)Estimating the O-D matrix fro…Stochastic Approximation Methods for Constrained and Unconstrained Systems (1978)An analysis of the reliability of an origin-destination trip matrix estimated from traffic counts (1991)Estimation of origin-destination matrix from traffic counts: the state of the art (2011)A probabilistic multipath traffic assignment model which obviates path enumeration (1971)The theory and practice of econometrics (1986)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 path most traveled: Travel demand estimation using big data resources (2015)On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit (1977)Urban Travel Demand: A Behavioral Analysis (1977)Equilibrium traffic assignment for large scale transit networks (1988)Smart card data use in public transit: A literature review (2011)Mining smart card data for transit riders’ travel patterns (2013)Detecting the dynamics of urban structure through spatial network analysis (2014)Clustering Smart Card Data for Urban Mobility Analysis (2016)Entropy in urban and regional modelling (2021)Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts (1993)A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. SPECIFICATION AND SOME CALIBRATION RESULTS FOR INTERURBAN NETWORKS (1996)Network State Estimation and Prediction for Real-Time Traffic Management (2001)An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models (2014)DIRECT AND INVERSE SOLUTIONS OF GEODESICS ON THE ELLIPSOID WITH APPLICATION OF NESTED EQUATIONS (1975)Learning transportation mode from raw gps data for geographic applications on the web (2008)Understanding mobility based on GPS data (2008)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data (2019)Transport mode detection based on mobile phone network data: A systematic review (2019)A stochastic user equilibrium path flow estimator (1997)Potential Contributions of Spatial Analysis to Geographic Information Systems for Transportation (GIS‐T) (1999)Estimation of origin–destination matrices from link flows on uncongested networks (2000)Estimation of origin-destination matrices from link traffic counts on congested networks (1992)Estimation of an origin-destination matrix with random link choice proportions: A statistical approach (1996)
this work references cited by second hop

References

  • 1980The most likely trip matrix estimated from traffic counts623 cited
  • 2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile528 cited
  • 1984Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator500 cited
  • 2017Inferring transportation modes from GPS trajectories using a convolutional neural network404 cited
  • 1983Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach376 cited
  • 1988A unified framework for estimating or updating origin/destination matrices from traffic counts364 cited
  • 1987A maximum likelihood model for estimating origin-destination matrices310 cited
  • 1991The estimation of origin-destination matrices by constrained generalised least squares289 cited
  • 2002Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows216 cited
  • 1987Recursive estimation of origin-destination matrices from input/output counts176 cited
  • 1975Estimating the O-D matrix from observed link volumes123 cited
  • 2017Estimating Pedestrian Densities, Wait Times, and Flows with Wi-Fi and Bluetooth Sensors75 cited
  • 2018Visualising where commuting cyclists travel using crowdsourced data72 cited
  • 2017

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Exploiting floating car data for time-dependent Origin–Destination matrices estimation
59 cited
  • 2010Generating Origin–Destination Matrices from Mobile Phone Trajectories57 cited
  • 2020Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys43 cited
  • Cited by

    No citing works inside the corpus for this window.