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README.md

A general formulation for multi-modal dynamic traffic assignment considering multi-class vehicles, public transit and parking

Implemented by Wei Ma and Xidong Pi (AlanPi1992), advised by Sean Qian, Civil and environmental engineering, Carnegie Mellon University.

Requirements

Instructions

Please clone the whole repo, and run runner.ipynb using jupyter notebook.

Experiments

To check the details of the experiments in exp_config.py, please refer to the paper.

File specifications

  • src/exp_config.py: experiment settings in the paper
  • src/gp.py: gradient projection method
  • src/models.py: implementation of multi-modal DUE
  • src/runner.ipynb: script that runs the MMDUE
  • img/.: imagines used in the paper
  • data/input_files_small_multiclass: experiment network in the paper

Questions

For any question, please contact Wei Ma (Lemma171@gmail.com) and Xidong Pi (xpi@andrew.cmu.edu).

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A general formulation for multi-modal dynamic traffic assignment considering multi-class vehicles, public transit and parking

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