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| Main Authors: | , , , , |
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| Format: | Artículo Open Access |
| Published: |
Wiley
2024
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| Online Access: | https://onlinelibrary.wiley.com/doi/10.1002/cav.2279 |
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| _version_ | 1867007094072279042 |
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| author | Kecheng Tang Jiawen Zhang Yuji Shen Chen Li Gaoqi He |
| author_facet | Kecheng Tang Jiawen Zhang Yuji Shen Chen Li Gaoqi He Kecheng Tang Jiawen Zhang Yuji Shen Chen Li Gaoqi He |
| collection | Wiley Open Access |
| contents | KDPM: Knowledge‐driven dynamic perception model for evacuation scene simulation Kecheng Tang Jiawen Zhang Yuji Shen Chen Li Gaoqi He Computer Animation and Virtual Worlds AbstractEvacuation 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. 10.1002/cav.2279 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1002/cav.2279 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_cav_2279 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2024 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | KDPM: Knowledge‐driven dynamic perception model for evacuation scene simulation Kecheng Tang Jiawen Zhang Yuji Shen Chen Li Gaoqi He Computer Animation and Virtual Worlds KDPM: Knowledge‐driven dynamic perception model for evacuation scene simulation Kecheng Tang Jiawen Zhang Yuji Shen Chen Li Gaoqi He Computer Animation and Virtual Worlds AbstractEvacuation 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. 10.1002/cav.2279 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | KDPM: Knowledge‐driven dynamic perception model for evacuation scene simulation |
| topic | Computer Animation and Virtual Worlds |
| url | https://onlinelibrary.wiley.com/doi/10.1002/cav.2279 |