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

  • Kecheng Tang
  • , Jiawen Zhang
  • , Yuji Shen
  • , Chen Li*
  • , Gaoqi He*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Article numbere2279
JournalComputer Animation and Virtual Worlds
Volume35
Issue number3
DOIs
StatePublished - 1 May 2024

Keywords

  • crowd simulation
  • dynamic perception model
  • knowledge-driven evacuation
  • stress response

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