At present, environment designers mostly use their intuition and experience to predictively account for how environments might support dynamic activity. The majority of Computer-Aided Design tools only provide a static representation of space which potentially ignores the impact that an environment layout produces on its occupants and their movements. To address this, computational techniques such as crowd simulation have been developed. With few exceptions, crowd simulation frameworks are often decoupled from environment modeling tools. They usually require specific hardware/software infrastructures and expertise to be used, hindering the designers' abilities to seamlessly simulate, analyze, and incorporate movement-centric dynamics into their design workflows. To bridge this disconnect, we devise a cross-browser service-based simulation analytics platform to analyze environment layouts with respect to occupancy and activity. Our platform allows users to access simulation services by uploading three-dimensional environment models in numerous common formats, devise targeted simulation scenarios, run simulations, and instantly generate crowd-based analytics for their designs. We conducted a case study to showcase cross-domain applicability of our service-based platform, and a user study to evaluate the usability of this approach.
Bibliographical noteFunding Information:
Intelligent Systems for Sustainable Urban Mobility (ISSUM), National Science Foundation (US), IIS‐1703883; S&AS‐1723869; Ontario Graduate Scholarship (OGS) Funding information
This research has been partially funded by grants from the ISSUM, OGS, and in part by NSF IIS‐1703883 and NSF S&AS‐1723869.
© 2021 John Wiley & Sons, Ltd.
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design