CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id cf2019_047
id cf2019_047
authors Schaumann, Davide ;Samuel S. Sohn, Muhammad Usman, Brandon Haworth, Petros Faloutsos and Mubbasir Kapadia
year 2019
title Spatiotemporal Influence and Affordance Maps for Occupant Behavior Simulation
source Ji-Hyun Lee (Eds.) "Hello, Culture!"  [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 412-429
summary Simulating the impact that built environments produce on human behavior prior to a building’s construction and occupancy is a complex task in architectural design. Current simulation approaches provide a limited representation of how dynamic spatial, social and environmental conditions affect the behavior of autonomous virtual occupants. We address this issue by means of influence maps – spatial representations of the influence that dynamic stimuli exert on an occupant at a specific time. To support an agent’s decisionmaking, we construct affordance maps that determine possible space-occupant interactions based on the combination of normalized influence maps, weighed by occupant preferences. We demonstrate the proposed approach by simulating the diverse spatial behaviors of virtual occupants in a social setting in response to dynamic stimuli.
keywords Influence maps, Affordance maps, Spatial behavior Simulation, Building Occupancy, Multi-agent systems
series CAAD Futures
email ds1540@cs.rutgers.edu
last changed 2019/07/29 12:15

_id cf2019_034
id cf2019_034
authors Usman, Muhammad; Davide Schaumann, Brandon Haworth, Mubbasir Kapadia and Petros Faloutsos
year 2019
title Joint Parametric Modeling of Buildings and Crowds for Human-Centric Simulation and Analysis
source Ji-Hyun Lee (Eds.) "Hello, Culture!"  [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 256
summary Simulating groups of virtual humans (crowd simulation) affords the analysis and data-driven design of interactions between buildings and their occupants. For this to be useful in practice however, crowd simulators must be well coupled with modeling tools in a way that allows users to iteratively use simulation feedback to adjust their designs. This is a non-trivial research and engineering task as designers often use parametric exploration tools early in their design pipelines. To address this issue, we propose a platform that provides a joint parametric representation of (a) a building and the bounds of its permissible alterations, (b) a crowd that populates the environment, and (c) the activities that the crowd engages in. Based on this input, users can systematically run simulations and analyze the results in the form of data-maps, spatialized representations of human-centric analyses. The platform combines Dynamo with SteerSuite, two established tools for parametric design and crowd simulations, to create a familiar node-based workow. We systematically evaluate the approach by tuning spatial, social, and behavioral parameters to generate human-centric analyses for the design of a generic exhibition space.
keywords Human-centric analytics, crowd simulation, parametric modeling, building occupancy, multi-agent systems
series CAAD Futures
email usman@eecs.yorku.ca
last changed 2019/07/29 12:15

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