Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models.

ABSTRACT: Agent-based evacuation modeling represents an effective tool for making predictions about evacuation aspects of buildings such as evacuation times, congestions, and maximum safe building capacity. Collection of real behavioral data for calibrating agent-based evacuation models is time-consuming, costly, and completely impossible in the case of buildings in the design phase, where predictions about evacuation behavior are especially needed. In recent years evacuation experiments conducted in virtual reality (VR) have been frequently proposed in the literature as an effective tool for collecting data about human behavior. However, empirical studies which would assess validity of VR-based data for such purposes are still rare and considerably lacking in the agent-based evacuation modeling dom

SUBMITTER: Jurik V 

PROVIDER: S-EPMC10015235 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature