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Incorporating within-Day Transitions in Simultaneous Offline Estimation of Dynamic Origin-Destination Flows without Assignment Matrices

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References

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2001Inference for origin–destination matrices: estimation, prediction and reconstruction

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98 cited

1997Calibrating aggregate travel demand models with traffic counts: Estimators and statistical performance71 cited

2005Calibration and Validation of Dynamic Traffic Assignment Systems41 cited

Cited by

2015c-SPSA: Cluster-wise simultaneous perturbation stochastic approximation algorithm and its application to dynamic origin–destination matrix estimation85 cited
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2013Dynamic Origin–Destination Matrix Estimation on Large-Scale Congested Networks Using a Hierarchical Decomposition Scheme25 cited
2017Sensitivity-Based Linear Approximation Method to Estimate Time-Dependent Origin–Destination Demand in Congested Networks16 cited
2010A density-based dynamic OD estimation method that reproduces within-day congestion dynamics13 cited
2020Methodology for O‐D matrix estimation using the revealed paths of floating car data on large‐scale networks13 cited
2010A Graph-based Formulation for the Multiple Destinations Dynamic Traffic Assignment Problem13 cited
2012Sensitivity Analysis of an Evolutionary-Based Time-Dependent Origin/Destination Estimation Framework11 cited
2016Application of an exact gradient method to estimate dynamic origin-destination demand for melbourne network9 cited
2018Dynamic O-D Demand Estimation: Application of SPSA AD-PI Method in Conjunction with Different Assignment Strategies8 cited
2025A spectral clustering enabled SPSA algorithm for dynamic origin-destination demand matrix estimation5 cited
2012DYNAMIC O RIGIN -DESTINATION MATRIX ESTIMATION IN LARGE-SCALE CONGESTED NETWORKS4 cited