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Nonlinear Kalman Filtering Algorithms for On-Line Calibration of Dynamic Traffic Assignment Models

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References

1991Dynamic network models and driver information systems534 cited
2002Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows216 cited
2004An Efficient Algorithm for Real-Time Estimation and Prediction of Dynamic OD Tables163 cited
1996Estimation and prediction of time-dependent origin-destination flows142 cited
2004Incorporating Automated Vehicle Identification Data into Origin-Destination Estimation81 cited
1997Demand Simulation for Dynamic Traffic Assignment58 cited
2005Calibration and Validation of Dynamic Traffic Assignment Systems41 cited
2004On-line calibration for dynamic traffic assignment40 cited
1999Generalized Singular Value Decomposition Approach for Consistent On-Line Dynamic Traffic Assignment37 cited
2002Calibration of the demand simulator in a dynamic traffic assignment system21 cited

Cited by

2011Prediction Intervals to Account for Uncertainties in Travel Time Prediction183 cited
2016Short‐Term Traffic Speed Prediction for an Urban Corridor181 cited
2020GE-GAN: A novel deep learning framework for road traffic state estimation169 cited
2020Hybrid machine learning algorithm and statistical time series model for network-wide traffic forecast

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153 cited