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
2011
High-Precision Surface Reconstruction of Human Bones from Point-Sampled DataWe present our efforts to build a database of high quality,…
1993
Virtual Reality for Palmtop ComputersWe are exploring how virtual reahty theories can be applied toward…
2022
Supercharging Trial-and-Error for Learning Complex Software ApplicationsDespite an abundance of carefully-crafted tutorials, trial-and-error…
2008
A cellular structure for online routing of digital spiking neuron axons and dendrites on FPGAsAs a step towards creating evolutionary developmental neural networks…
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