Publication

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

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.

Download publication

Related Resources

See what’s new.

Publication

01/01/2017

Beyond heuristics: A novel design space model for generative space planning in architecture

This paper proposes a novel design space model which can be used in…

Project

01/01/2014

Princeton Laboratory for Embodied Computation

Commissioned by Princeton University, the Laboratory for Embodied…

Article

02/17/2023

Research Conversations with Fope Bademosi

Fope Bademosi, Circular Economy and Construction Researcher, shares…

Article

12/08/2022

Can a robot design and build its own infrastructure?

Exploring the design process for 3D printing a 5m bridge. …

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Contact us