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

1. Ideal Flow Network Tutorial with many online interactive programs
2. Ideal Flow Network Anaysis using Python
3. Video YouTube Tutorial:

• Aubrey Mejia Ideal Flow on Network)
• Aubrey Mejia Stochastic Matrix for Ideal Flow
• Aubrey Mejia Ideal Traffic Assignment (contributed by )
• Teknomo, K. Random Walk on Network (that leads to IFN)
• Teknomo, K.Ideal Flow Network for Machine Learning
• Teknomo, K.IFN of Eulerian Network
• Teknomo, K.Analysis of Road Widening using IFN
• Teknomo, K.Dynamic Network: Strategy of Adding More Roads
• Teknomo, K.(2018) Random Walk on Network and Its Ideal Flow, Keynote Speaker, Research & Creative Work Lecture Nov 20, 2018.
• Heidi Kuzma, Anima Anandkumar, Dimitri Kusnezov, Kardi Teknomo, Stuart Russell, Tegawendé F. Bissyandé (2019) Ideal Flow Network (IFN) for Artificial Intelligence and Machine Learning, Panel Discussion in United Nation - Comprehensive Nuclear-Test-Ban Treaty Office (UN CTBTO) Science and Technology Conference 2019 (SnT2019) Vienna, Austria 26 June 2019
• Teknomo, K. (2021) Human Versus Machine Panel Discussion in United Nation - Comprehensive Nuclear-Test-Ban Treaty Office (UN CTBTO) Science and Technology Conference 2021 (SnT2021) Vienna, Austria 28 June 2021 - Friday 02 July 2021
• Teknomo, K. (2021) IFN-Transport: Concept and Model for Redistributing Traffic Congestion, Keynote Speaker, FTI COLLOQUIUM, Indonesia, Oct 15, 2021
• Teknomo, K. (2021) Ideal Flow Network for Machine Learning, Plenary speaker, 1st International Conference in Information and Computing Research, Philippines, Dec 11, 2021
• IFN-Transport: A Balanced Approach to Traffic Congestion Mitigation (IFN-Transport: Pendekatan Baru untuk Mitigasi Kemacetan Lalu Lintas), Plenary speaker, KORIKA, June 21, 2023
• Teknomo, K. (2022) IFN for Supervised Learning, Guest Lecture for Universitas Sumatra Utara, Feb 9, 2022
• Teknomo, K. (2023) Transforming Creativity into a Combinatorial Optimization Problem: A Systematic Approach to Generate Optimal Alternatives for Traffic Congestion Solutions, Plenary speaker, 3rd International Conference of Data Science, Business Intelligence and Artificial Intelligence ( DATABIA 2023), Nov 8, 2023, La Union Philippines and Medan Indonesia.
• Teknomo, K. (2025) Ideal Flow on Network for Transportation, Guest Lecture in Narotama University, Oct 18, 2028

Software

Get the following software on Ideal Flow Network

1. IFN for Traffic Assignment online interactive programs (in matrix)
2. Application of IFN for Music
3. Application of IFN for Transport Planning
4. Python Core of Ideal Flow Network in GitHub, also in PyPi
5. Ideal Flow Matrix EXCEL Add-Ins
6. Python IFN Transport in GitHub

 

Papers about Ideal Flow

Download papers on Ideal Flow Network

1. Teknomo, K., Nababan, E.B., Bisono, I.N. and Lim, R. (2025) Random Integer Ideal Flow Network Signature Algorithms, Journal of Industrial Engineering: Research and Application, Vol. 27 No. 1 June 2025

2. Teknomo, K. (2025) Axiomatic of Transit Flow Estimation, Civil Engineering Dimension, Volume 27 (1), p.95-112. doi:10.9744/ced.27.1.95-112

3. Teknomo, K. (2024) Highway Transport Policy Development Based on Ideal Flow Network, Petra International Conference of Sustainable Cities and Regions (PICSCAR) 2024 Surabaya, Indonesia, 4th - 6th June 2024.

4. Teknomo, K. (2024) The Signatures of Ideal Flow Networks

5. Teknomo, K.(2019), Ideal Flow Network in Society 5.0 in Mahdi et al, Optimization in Large Scale Problems - Industry 4.0 and Society 5.0 Applications, Springer, p. 67-69

6. Teknomo, K., Gardon, R. and Saloma, C. (2019), Ideal Flow Traffic Analysis: A Case Study on a Campus Road Network, Philippine Journal of Science, Volume 148 (1), p. 51-62

7. Teknomo, K. (2019) Evaluation of a Proposed Road in a Campus Network based on Ideal Flow, Data Science: Journal of Computing and Applied Informatics (JoCAI) Vol 3 No 2. DOI: 10.32734/jocai.v3.i2-620

8. Teknomo, Kardi (2019) Premagic and Ideal Flow Matrices, Data Science: Journal of Computing and Applied Informatics (JoCAI) Vol 3 No 1. DOI: 10.32734/jocai.v3.i1-621

9. Teknomo, K. and Gardon, R.W. (2019) Traffic Assignment Based on Parsimonious Data: The Ideal Flow Network, 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1393-1398.

10. Montalan, J.R., Estuar,M.R.J., Teknomo,K., Gardon, R.W. (2019) Measles Metapopulation Modeling using Ideal Flow of Transportation Networks, Proceedings of the 2nd International Conference on Software Engineering and Information Management.

11. 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

12. 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.

13. 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.

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

15. 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

16. 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.

Books about Ideal Flow

• Teknomo, K.(2026), Ideal Flow Network for Transportation Research - Unveiling the Hidden Secret of Nature to Solve Traffic Congestion Springer-Nature

• Konsep Ideal Flow Network (ifn) untuk Mengatasi Kemacetan Jaringan Jalan

Researches based on Ideal Flow

• IFN-Transport to simulate the traffic Conditions in VIT Vellore, India
• Nathanael Kenneth Suryawan, Michael Hoh, Giorgio Clifton, Ryan Olen Khairala Agung (2024) Analisa Pengaruh Skenario Alternatif Lalu Lintas dalam Mengatasi Kemacetan di Jalan Ahmad Yani Dengan Menggunakan Metode Ideal Flow Network Dimensi Utama Teknik Sipil 11 (2) pp.125-138; DOI: 10.9744/duts.11.2.125-138
• Felix Giovanni and Wendy Cahyadi (2022) Studi Kasus Pemanfaatan Ideal Flow Network untuk Mengetahui Tingkat Kemacetan Jalan Berdasarkan Data GPS: Kota Surabaya Jurnal Dimensi Pratama Teknik Sipil Vol 11, No 1 (2022): Februari 2022.
• Josh Felix Hogiantoa, Angelique Laurentia Sutandi, Clarissa Arisanti Putri, Raynaldo Gunandhie Penggunaan Konsep Ideal Flow Network dan Traffic Flow Theory dalam Mengoptimalkan Sirkulasi Lalu Lintas Di Daerah yang Berdekatan Dengan Pusat Bisnis

You have contributed a paper, tutorial, presentation or software on Ideal Flow Network and would like to be listed here, please contact me

Research Laboratories based on IFN

• Data Science and Innovation Lab, Petra Christian University
• Traffic Engineering And Transportation Planning Laboratory, Petra Christian University