Design Loop

Abstract

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

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

Design Modeling Symposium 2019

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.