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Virtual DAAP

Virtual DAAP extends to the discussion of technological constraints of VR such as field of vision, peripheral vision, and vestibular indices. The multi-phase approach starts with defining the immersive VR system, which is used for capturing real agent’s movement within a digital environment to form raw data in the cloud, and then visualize it with heat-map and path network. Combined with graphs, survey data is also used to compare various agents’ way-finding behavioral related to gender, spatial recognition level, and spatial features such as light, sound, and architectural simulations.

 

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Crowd Simulation through Multi-Agent Modeling

Use Agent Based Modeling to simulate large crowd behavior. way-finding and egress analysis.

The research discusses experiential outcome in the application of crowd simulation technology to analyze the pedestrian circulation in the public space to facilitate design and planning decisions.  We focus on how to connect space design with agent-based simulation (ABS) for various design and planning scenarios., and investigate the process of visualizing and representing pedestrian movement, as well as the path-finding and crowd behavior study.

 

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