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KDPM: Knowledge-driven dynamic perception model for evacuation scene simulation

  • Kecheng Tang
  • , Jiawen Zhang
  • , Yuji Shen
  • , Chen Li*
  • , Gaoqi He*
  • *此作品的通讯作者
  • East China Normal University

科研成果: 期刊稿件文章同行评审

摘要

Evacuation scene simulation has become one important approach for public safety decision-making. Although existing research has considered various factors, including social forces, panic emotions, and so forth, there is a lack of consideration of how complex environmental factors affect human psychology and behavior. The main idea of this paper is to model complex evacuation environmental factors from the perspective of knowledge and explore pedestrians' emergency response mechanisms to this knowledge. Thus, a knowledge-driven dynamic perception model (KDPM) for evacuation scene simulation is proposed in this paper. This model combines three modules: knowledge dissemination, dynamic scene perception, and stress response. Both scenario knowledge and hazard source knowledge are extracted and expressed. The improved intelligent agent perception model is designed by adopting position determination. Moreover, a general adaptation syndrome (GAS) model is first presented by introducing a modified stress system model. Experimental results show that the proposed model is closer to the reality of real data sets.

源语言英语
文章编号e2279
期刊Computer Animation and Virtual Worlds
35
3
DOI
出版状态已出版 - 1 5月 2024

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