# Ideal Flow Network

Ideal Flow is a steady state relative flow distribution in a strongly connected network where the flows are conserved

## Tutorials on Ideal Flow

Check this tutorial on Ideal Flow Network

- Ideal Flow Network Anaysis using Python
- Video YouTube Tutorial: Ideal Flow on Network (contributed by Aubrey Mejia)

## Software

Get the following software on Ideal Flow Network

- Python code of Ideal Flow Network in GitHub
- Ideal Flow Matrix EXCEL Add-Ins

## Papers about Ideal Flow

Download recent papers on Ideal Flow Network

Teknomo, K. and Gardon, R.W. (2017) Intersection Analysis Using the Ideal Flow Model, Proceeding of the IEEE 20th International Conference on Intelligent Transportation Systems, Oct 16-19, 2017, Yokohama, Japan

Teknomo, K. (2017) Ideal Relative Flow Distribution on Directed Network, Proceeding of the 12th Eastern Asia Society for Transportation Studies (EASTS), Ho Chi Minh, Vietnam Sept 18-21, 2017.

Gardon, R.W. and

**Teknomo, K.**(2017) Analysis of the Distribution of Traffic Density Using the Ideal Flow Method and the Principle of Maximum Entropy, Proceedings of the 17th Philippine Computing Science Congress, Cebu City, March 2017.**Teknomo, K.**(2016) Graphs, Ideal Flow, and the Transportation Network, Invited Speaker on Plenary Session Symposium on Graph Theory and Applications (SGTA2016), Ateneo de Manila, Quezon City, Philippines, January 13-15, 2016-
**Teknomo, K.**(2015) Ideal Flow Based on Random Walk on Directed Graph, The 9th International collaboration Symposium on Information, Production and Systems (ISIPS 2015) 16-18 Nov 2015, Waseda University, KitaKyushu, Japan.

**Teknomo, K. **(2017) Premagic and Ideal Flow Matrices, Philippine Computing Science Congress, Cebu City, March 2017.

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