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This repository documents the MATLAB implementation of several day-to-day (disequilibrium) dynamic traffic assignment models, e.g. based on stochastic choice models, bounded rationality, and information sharing behavior

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DTD

This repository documents a day-to-day dynamic traffic assignment model on the Sioux Falls network, with possible extensions to other networks by updating the dynamic network loading module (see https://github.com/DrKeHan/DTA).

Documentation and cite as: Yu, Y., Han, K., Ochieng, W.Y., 2020. Day-to-Day Dynamic Traffic Assignment with Imperfect Information, Bounded Rationality and Information Sharing. Transportation Research Part C, 114, 59-83.

Run one of the following scripts to run a version of the day-to-day dynamic traffic assignment model: Base_Model_I.m, Base_Model_I_BR.m, Base_Model_I_IS.m, Base_Model_II.m, and Base_Model_II_IS.m

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This repository documents the MATLAB implementation of several day-to-day (disequilibrium) dynamic traffic assignment models, e.g. based on stochastic choice models, bounded rationality, and information sharing behavior

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