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This repository contains the multimodal supernetwork traffic assignment model as developed by Koen de Clercq.

Run main.py for running the model with the default settings.

The parameter estimation is taken from an earlier study, the results can be found here: https://github.com/KoendeClercq/Discrete-Choice-Model The updated parameter estimation is used.

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Code for supernetwork development, simple networks & Sioux Falls networks + results. Used Discrete-Choice-Model code to create parameters as explained in paper.

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