Computational Model Library

Pedestrian Scramble (1.0.0)

This is a model intended to demonstrate the function of scramble crossings and a more efficient flow of pedestrian traffic with the presence of diagonal crosswalks.

Pedestrian Scramble V2.0.0 Screenshot.png

Release Notes

v1.0.0 serves as the the beta release for the Pedestrian Scramble model. Refer to the “EXTENDING THE MODEL” section of this model’s narrative documentation for potential fixes in future releases.

Associated Publications

Takami, Sho, “Estimating Pedestrian Crossing Times at Scramble Crossings via Machine Learning and Agent-Based Modeling” (2025). CURE Proceedings. 18. https://huskiecommons.lib.niu.edu/studentengagement-cureposters/18

Takami, Sho, “Estimating Pedestrian Crossing Times at Scramble Crossings via Machine Learning and Agent-Based Modeling” (2025). Honors Capstones. 1561. https://huskiecommons.lib.niu.edu/studentengagement-honorscapstones/1561

This release is out-of-date. The latest version is 2.0.0

Pedestrian Scramble 1.0.0

Submitted by Sho Takami Published Nov 30, 2021 Last modified Jun 10, 2025
pedestrian dynamics pedestrian modeling

This is a model intended to demonstrate the function of scramble crossings and a more efficient flow of pedestrian traffic with the presence of diagonal crosswalks.

Release Notes

v1.0.0 serves as the the beta release for the Pedestrian Scramble model. Refer to the “EXTENDING THE MODEL” section of this model’s narrative documentation for potential fixes in future releases.

Cite this Model

Sho Takami, Rami Lake, Dara Vancea (2021, November 30). “Pedestrian Scramble” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/6c2286dd-5a23-4658-bbb0-47af6c686f7b/releases/1.0.0/

Replication of a previously described model

Inspired by the Braess Paradox model in NetLogo.

Associated Publication(s)

Takami, Sho, “Estimating Pedestrian Crossing Times at Scramble Crossings via Machine Learning and Agent-Based Modeling” (2025). CURE Proceedings. 18. https://huskiecommons.lib.niu.edu/studentengagement-cureposters/18

Takami, Sho, “Estimating Pedestrian Crossing Times at Scramble Crossings via Machine Learning and Agent-Based Modeling” (2025). Honors Capstones. 1561. https://huskiecommons.lib.niu.edu/studentengagement-honorscapstones/1561

References

McMahon, M. (2024, May 23). What is a Pedestrian Scramble? WikiMotors. https://www.wikimotors.org/what-is-the-pedestrian-scramble.html

Rasmussen, L. and Wilensky, U. (2019). NetLogo Braess Paradox model. http://ccl.northwestern.edu/netlogo/models/BraessParadox. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

Ryota. (2023, June 12). Shibuya Crossing (Shibuya Scramble Crossing). Traveling Japan. https://www.travelingjapan.net/tokyo/shibuya-crossing/

Takami, Sho, “Estimating Pedestrian Crossing Times at Scramble Crossings via Machine Learning and Agent-Based Modeling” (2025). CURE Proceedings. 18. https://huskiecommons.lib.niu.edu/studentengagement-cureposters/18

Takami, Sho, “Estimating Pedestrian Crossing Times at Scramble Crossings via Machine Learning and Agent-Based Modeling” (2025). Honors Capstones. 1561. https://huskiecommons.lib.niu.edu/studentengagement-honorscapstones/1561

Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

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Contributors
Sho Takami Rami Lake Dara Vancea
DOI
No assigned DOI
Model Version
1.0.0
License
AFL-3.0
Programming Language
NetLogo v6.2
Software Framework
NetLogo v6.2
Operating System
Windows
Publish Date
Tuesday, November 30, 2021
Last Updated
Tuesday, June 10, 2025
Downloads 68
Peer Review
Unreviewed
Version Submitter First published Last modified Status
2.0.0 Sho Takami Tue Jun 10 16:10:58 2025 Tue Jun 10 16:20:09 2025 Published
1.0.0 Sho Takami Tue Nov 30 03:17:35 2021 Tue Jun 10 16:20:01 2025 Published

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