Metadata-Version: 2.1
Name: cgodme
Version: 0.1.3
Summary: Find optimal path flows that map systematic variables (origin-destination demand and link flows) to ensure consistency
Author: Taehooie Kim, Ph.D., Xin Wu, Ph.D., Han Zheng, Ph.D., Xuesong Zhou, Ph.D.
Author-email: taehooie.kim@gmail.com, xin.wu@villanova.edu, hzheng73@asu.edu, xzhou74@asu.edu

# CGODME
This experimental version aims to find optimal path flows by systematically mapping variables (zonal totals, origin-destination demand, and link flows).

## Quick Start
Users can find [Jupyter notebook](https://github.com/Taehooie/CGODME/blob/develop/tutorial/tutorial.ipynb) that provides step-by-step instructions for utilization. 

## Installation
cgodme has been published on [PyPI](https://pypi.org/project/cgodme/) and can be installed using
```
$ pip install cgodme
```

## How to Cite
- Journal article: [Kim, T., et al. Computational graph-based mathematical programming reformulation for integrated demand and supply models](https://www.sciencedirect.com/science/article/abs/pii/S0968090X2400192X)

