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Sensitivity-Based Linear Approximation Method to Estimate Time-Dependent Origin–Destination Demand in Congested Networks

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References

2001Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future788 cited
1993Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts368 cited
1995Heuristic algorithms for the bilevel origin-destination matrix estimation problem282 cited
2012A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model213 cited
2006Dynamic Origin–Destination Demand Estimation Using Automatic Vehicle Identification Data203 cited
2014An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models135 cited
2015Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation128 cited
2010A gradient approximation approach for adjusting temporal origin–destination matrices123 cited
2013Dynamic origin–destination demand flow estimation under congested traffic conditions121 cited
2013Networks and Spatial Economics105 cited
2015Marginal cost congestion pricing based on the network fundamental diagram101 cited
2012Estimation of Dynamic Origin–Destination Matrices Using Linear Assignment Matrix Approximations80 cited
2009Calibration of Dynamic Traffic Assignment Models with Point-to-Point Traffic Surveillance72 cited
2011New Gradient Approximation Method for Dynamic Origin–Destination Matrix Estimation on Congested Networks

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64 cited

2011Time-Dependent Origin–Destination Demand Estimation40 cited

2011Changes in cognition and behaviour: a causal analysis of single-occupancy car use in a rural community33 cited

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2021Comparing Dynamic User Equilibrium and Noniterative Stochastic Route Choice in a Simulation-Based Dynamic Traffic Assignment Model: Practical Considerations for Large-Scale Networks15 cited
2023A two-stage stochastic programming approach for dynamic OD estimation using LBSN data14 cited
2021An Open GMNS Dataset of a Dynamic Multi-Modal Transportation Network Model of Melbourne, Australia9 cited
2020Integration of Departure Time Choice Modeling and Dynamic Origin–Destination Demand Estimation in a Large-Scale Network7 cited
2022Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues6 cited
2025A spectral clustering enabled SPSA algorithm for dynamic origin-destination demand matrix estimation5 cited