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Geometric Degrees of Freedom and Non-conventional Spatial Structural Forms Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Design Loop: Calibration of a Simulation of Productive Congestion Through Real-World Data for Generative Design Frameworks

Authors : Lorenzo Villaggi, James Stoddart, Pan Zhang, Alex Tessier, David Benjamin

Published in: Impact: Design With All Senses

Publisher: Springer International Publishing

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Abstract

This paper extends the applicability of generative design for space planning frameworks for ongoing and guided post-occupancy modifications. It involves the comparison of a graph-based productive-congestion simulation with empirical data and the use of a metaheuristic search algorithm to calibrate and fine-tune simulation parameters for greater accuracy. This methodology is demonstrated through a real-world generative designed case-study and the post-occupancy collection and processing of movement data through custom computer vision workflows.

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Metadata
Title
Design Loop: Calibration of a Simulation of Productive Congestion Through Real-World Data for Generative Design Frameworks
Authors
Lorenzo Villaggi
James Stoddart
Pan Zhang
Alex Tessier
David Benjamin
Copyright Year
2020
Book
Impact: Design With All Senses

Print ISBN: 978-3-030-29828-9

Electronic ISBN: 978-3-030-29829-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-29829-6_30

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