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Maximum Entropy Method for Subnetwork Origin–Destination Trip Matrix Estimation

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References

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1984Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator500 cited
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1984Transportation planning models174 cited
1988On combining maximum entropy trip matrix estimation with user optimal assignment152 cited
1996Estimation of an origin-destination matrix with random link choice proportions: A statistical approach125 cited
1994A linear programming approach for synthesizing origin-destination trip tables from link traffic volumes

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124 cited

1981Simplified transport models based on traffic counts105 cited

Cited by

2017A decomposition approach to the static traffic assignment problem48 cited
2011A maximum entropy-least squares estimator for elastic origin-destination trip matrix estimation39 cited
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2011A maximum entropy-least squares estimator for elastic origin–destination trip matrix estimation33 cited
2023Examining income segregation within activity spaces under natural disaster using dynamic mobility network25 cited
2019Estimating the geographic distribution of originating air travel demand using a bi-level optimization model21 cited
2021The value of additional data for public transport origin–destination matrix estimation18 cited
2015Improved bush-based methods for network contraction15 cited
2015An Excess-Demand Dynamic Traffic Assignment Approach for Inferring Origin-Destination Trip Matrices14 cited
2012A Study of Destination Selection Model Based on Link Flows14 cited
2016Path Flow Estimator in an Entropy Model Using a Nonlinear L-Shaped Algorithm11 cited
2013Research Review of Origin-destination Trip Demand Estimation for Subnetwork Analysis11 cited
2013OD Matrix Estimation from Link Counts Using Artificial Neural Network10 cited
2013A study on the generalized TFlowFuzzy O-D estimation9 cited
2024Estimation of travel flux between urban blocks by combining spatio-temporal and purpose correlation8 cited
2019Subnetwork Origin-Destination Matrix Estimation Under Travel Demand Constraints8 cited