Publication | Technology, Architecture + Design 2017
The Buzz Metric
A Graph-based Method for Quantifying Productive Congestion in Generative Space Planning for Architecture
Abstract
The Buzz Metric: A Graph-based Method for Quantifying Productive Congestion in Generative Space Planning for Architecture
Danil Nagy, Lorenzo Villaggi, James Stoddart, David Benjamin
Technology, Architecture + Design 2017
This paper describes a novel simulation method for measuring the amount of buzz or productive congestion in an interior architectural space This “buzz metric” first predicts the amount and distribution of congestion based on a simulation of walking paths and, then, computes the extent to which this congestion is distributed across the space. Unlike dynamic methods for simulating occupant behavior such as agent-based crowd simulation, our method is computed statically, and thus is fast enough to be used in an automated generative design (multi-objective optimization) workflow. After describing how the metric is calculated, the paper demonstrates how it can be used in an automated generative design process through a case study of the design of an exhibit hall.
Download publicationRelated Resources
2023
WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AIUsing multi-modal generative AI to quickly and iteratively visualize…
2010
Making Shapes from Modules by MagnificationWe present a distributed algorithm for creating a modular shape by…
2013
Swifter: Improved Online Video ScrubbingOnline streaming video systems have become extremely popular, yet…
2021
Meshmixer: Mesh Technology for Interactive Design and FabricationMeshmixer is a prototype design tool based on high-resolution dynamic…
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