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 (contributed by Aubrey Mejia):
Get the following software on Ideal Flow Network
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. (2017) Premagic and Ideal Flow Matrices, 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.
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