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CODE: Crowd‐optimized design of environments
Author(s) -
Haworth Brandon,
Usman Muhammad,
Berseth Glen,
Khayatkhoei Mahyar,
Kapadia Mubbasir,
Faloutsos Petros
Publication year - 2017
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.1749
Subject(s) - computer science , modular design , code (set theory) , crowd simulation , aggregate (composite) , design flow , human–computer interaction , embedded system , programming language , crowds , materials science , computer security , set (abstract data type) , composite material
We present crowd‐optimized design of environments ( CODE ): a “crowd‐aware” computational tool for designing environments (e.g., building floor plans). Our system analyses 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 are used to provide feedback to the designer in terms of aggregate statistics and heat maps. Additionally, our system is able to “automatically” optimize the placement of environment elements to maximize crowd flow in egress scenarios, while satisfying constraints that are imposed by the designer. Using CODE , architects and environment designers can iteratively refine upon their original design to quickly accommodate the dynamic properties of crowd simulations in an interactive fashion. CODE is modular and flexible so that designers may build environments, select from different crowd simulators, and specify varying crowd configurations.