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
Hierarchical Neural Coding for Controllable CAD Model GenerationThis paper presents a new controllable parametric CAD generative…
2021
RXMesh: A GPU Mesh Data StructureWe propose a new static high-performance mesh data structure for…
2014
Active Printed Materials for Complex Self-Evolving DeformationsWe propose a new design of complex self-evolving structures that vary…
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