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In this project, we will develop a crowd-aware computational tool for designing environments (e.g., building floor plans). During an interactive authoring session, as the user is designing the layout of an environment, our system will predictively analyse the impact of newly added environment elements (e.g., pillars or doorways) on the resulting crowd flow, using current-generation crowd simulators. The results of the simulation will be used to provide feedback to the user in terms of aggregate statistics and heat maps. Additionally, we will develop numerical optimization techniques to automatically optimize the placement of environment elements to maximize the flow of the crowd, while satisfying any constraints that are imposed by the user (e.g., immovable walls or support bearing structures).
References.
1. Berseth et. al. Environment Optimization for Crowd Evacuation. Computer Animation and Virtual Worlds, 2011. http://www.cs.rutgers.edu/~mk1353/projects-environment-optimization.html
2. Berseth et al. Steerfit: Automated Parameter Tuning for Steering Algorithms. ACM SIGGRAPH Symposium on Computer Animation, 2015. http://www.cs.rutgers.edu/~mk1353/projects-steerfit.html
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