Glen Berseth

With this work we build upon prevous work in crowd optimization. Leveraging optimization methods previously used to assist users in architectural design tasks.

Abstract

We present a preliminary exploration of an architectural optimization process towards a computational tool for de- signing environments (e.g., building floor plans). Using dy- namic crowd simulators we derive the fitness of architec- tural layouts. The results of the simulation are used to pro- vide feedback to a user in terms of crowd animation, aggre- gate statistics, and heat maps. Our approach automatically optimizes the placement of environment elements to maxi- mize the flow of the crowd, while satisfying constraints that are imposed by the user (e.g., immovable walls or support bearing structures). We take steps towards user-in-the-loop optimization and design of an environment by applying an adaptive refinement approach to reduce the search space of the optimization. We perform a small scale user study to obtain early feedback on the performance and quality of our method in contrast with a manual approach.

Bibtex (coming soon)

You can find the paper describing the project here (coming soon)