Abstract

To overcome the difficulties of quantitatively optimizing and evaluating evacuation guidance systems, we proposed a perception model based on virtual reality (VR) experiments and the social force model (SFM). We used VR and eye tracking devices to carry out experiments. The VR experiment data was mainly used for three purposes: to determine the parameter values of the perception model, to optimize the evacuation guidance system by quantitative analysis, and to validate the perception model. Additionally, we compared the VR experimental and model simulation results before and after the optimization to quantitatively assess the improvement in the optimized evacuation guidance system. The results showed that our model can effectively simulate the perception behaviors of evacuees on the evacuation guidance system and it can quantitatively evaluate different evacuation guidance system schemes. The model simulations showed that the optimized evacuation guidance system improved the evacuation efficiency, with the average escape time and distance of the two starting positions reduced by 37% and 28%, respectively.

Highlights

  • An evacuation guidance system is a guidance system that can provide road and exit information for evacuees during public emergencies [1,2]

  • We found that the average perception time for the evacuation signs was

  • By analyzing the hotspot chart of escape trajectories trajectories and and eye eye tracking tracking data, data, we we found found the deficiencies in the existing evacuation guidance systems and conducted optimization

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Summary

Introduction

An evacuation guidance system is a guidance system that can provide road and exit information for evacuees during public emergencies [1,2]. The types of scenarios and emergencies [3], sign designs [4], and layouts [5] are important factors affecting the effectiveness of human evacuation behavior. Some researchers have used wireless sensor networks to modify static guidance systems into dynamic intelligent systems [4,7] These intelligent guidance systems can adjust the directions of signs to show the current safest path. Many scholars have used experimental methods, including real and virtual reality (VR) experiments, to deliberate the effectiveness of evacuation guidance systems. With the vigorous development of the VR industry, many scholars have used VR devices to carry out escape experiments to study the influence of the location [1,11], color [12], and layout [13] of an evacuation guidance system on its guidance effect. An increasing number of many scholars have

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