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Calibration and validation of a simulation-based dynamic traffic assignment model for a large-scale congested network

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References

1998An Overview of the Simultaneous Perturbation Method for Efficient Optimization435 cited
2009Transportation Systems Analysis: Models and Applications420 cited
1993Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts368 cited
1998DynaMIT: a simulation-based system for traffic prediction201 cited
2003A cell-based simultaneous route and departure time choice model with elastic demand198 cited
2011Estimation of origin-destination matrix from traffic counts: the state of the art153 cited
2011Dynamic Traffic Assignment: A Primer147 cited
2014An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models135 cited
2010A gradient approximation approach for adjusting temporal origin–destination matrices123 cited
2013Dynamic origin–destination demand flow estimation under congested traffic conditions121 cited
2008Integration of Activity-Based Modeling and Dynamic Traffic Assignment111 cited

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43 cited

2023Simulation-based dynamic origin–destination matrix estimation on freeways: A Bayesian optimization approach39 cited

2019A bi-partitioning approach to congestion pattern recognition in a congested monocentric city38 cited

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2023Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study19 cited

2022Distance-based time-dependent optimal ratio control scheme (TORCS) in congested mixed autonomy networks17 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

2019A Simulation-Based Optimization Framework for Urban Congestion Pricing Considering Travelers’ Departure Time Rescheduling11 cited

2020Evaluation of Traffic Assignment Models through Simulation11 cited

2021An Open GMNS Dataset of a Dynamic Multi-Modal Transportation Network Model of Melbourne, Australia9 cited

2020Regional dynamic traffic assignment with bounded rational drivers as a tool for assessing the emissions in large metropolitan areas9 cited