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Multiple-Vehicle Origin–Destination Matrix Estimation from Traffic Counts Using Genetic Algorithm
7 references·7 citing·40 second hop
Multiple-Vehicle Origin–Destination Matrix Estimation from Traffic Counts Using Genetic Algorithm (2004)Multiple-Vehicle Origin–Destination Matri…Estimation of origin–destination matrices from link flows on uncongested networks (2000)Estimation of origin–destinat…Heuristic algorithms for the bilevel origin-destination matrix estimation problem (1995)Heuristic algorithms for the …Estimation of origin-destination matrices from link traffic counts on congested networks (1992)Estimation of origin-destinat…The estimation of origin-destination matrices by constrained generalised least squares (1991)The estimation of origin-dest…Some numerical results on the diagonalization algorithm for network assignment with asymmetric interactions between cars and trucks (1988)Some numerical results on the…A unified framework for estimating or updating origin/destination matrices from traffic counts (1988)A unified framework for estim…Simplical decomposition of the asymmetric traffic assignment problem (1984)Simplical decomposition of th…Advances on Urban Mobility Using Innovative Data-Driven Models (2020)Advances on Urban Mobility Us…Estimation of sparse O–D matrix accounting for demand volatility (2018)Estimation of sparse O–D matr…Two Methods to Calibrate the Total Travel Demand and Variability for a Regional Traffic Network (2017)Two Methods to Calibrate the …Enhanced least square based dynamic OD matrix estimation using Radio Frequency Identification data (2017)Enhanced least square based d…Dynamic approach to the origin-destination matrix estimation in dense street networks (2012)Dynamic approach to the origi…A theoretical foundation for the relationship between generalized origin–destination matrix and flow matrix based on ordinal graph trajectories (2012)A theoretical foundation for …The estimation of a time-dependent OD trip table with vehicle trajectory samples (2010)The estimation of a time-depe…Transportation Network Analysis (1997)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Urban computing with taxicabs (2011)Origin–Destination Matrix Estimation and Prediction from Socioeconomic Variables Using Automatic Feature Selection Procedure-Based Machine Learning Model (2021)Intervening Opportunities: A Theory Relating Mobility and Distance (1940)The most likely trip matrix estimated from traffic counts (1980)Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator (1984)Building and Calibration Transport Demand Model in Anamorava Region (2019)Studies in the Economics of Transportation. 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References

  • 1992Estimation of origin-destination matrices from link traffic counts on congested networks366 cited
  • 1988A unified framework for estimating or updating origin/destination matrices from traffic counts364 cited
  • 1991The estimation of origin-destination matrices by constrained generalised least squares289 cited
  • 1995Heuristic algorithms for the bilevel origin-destination matrix estimation problem282 cited
  • 2000Estimation of origin–destination matrices from link flows on uncongested networks156 cited
  • 1984Simplical decomposition of the asymmetric traffic assignment problem128 cited
  • 1988Some numerical results on the diagonalization algorithm for network assignment with asymmetric interactions between cars and trucks49 cited

Cited by

  • 2017Enhanced least square based dynamic OD matrix estimation using Radio Frequency Identification data22 cited
  • 2012A theoretical foundation for the relationship between generalized origin–destination matrix and flow matrix based on ordinal graph trajectories12 cited
  • 2012Dynamic approach to the origin-destination matrix estimation in dense street networks10 cited
  • 2017Two Methods to Calibrate the Total Travel Demand and Variability for a Regional Traffic Network9 cited
  • 2010The estimation of a time-dependent OD trip table with vehicle trajectory samples9 cited
  • 2020Advances on Urban Mobility Using Innovative Data-Driven Models

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7 cited
  • 2018Estimation of sparse O–D matrix accounting for demand volatility5 cited