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- W646940150 abstract "This research effort aims to compare car-following models when the models are calibrated to individual drivers with the naturalistic data. The data used for this research is from the Naturalistic Truck Driving Study conducted by Virginia Tech Transportation Institute. The models used are the Gazis-Herman-Rother (GHR), Gipps, Intelligent Driver, Velocity Difference, Wiedemann, and the Fritzsche model. The calibration of each model used 100 car following periods of four different drivers. The results show that some of the models can accurately mimic the behavior of one or two of the drivers, but the error increases for the other drivers. The Wiedemann model and the Velocity Difference model both showed consistency in performance across the four drivers. The results of this research provide clarity into which microscopic traffic flow models can accurately represent the behavior of a variety of drivers." @default.
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- W646940150 date "2011-01-01" @default.
- W646940150 modified "2023-09-28" @default.
- W646940150 title "Comparison of Car-Following Models when Calibrated to Individual Drivers Using Naturalistic Data" @default.
- W646940150 hasPublicationYear "2011" @default.
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