Journal of System Simulation
Abstract
Abstract: To improve emergency evacuation efficiency and reduce casualties in dynamic fire scenarios, a real-time path re-planning method based on agents and dynamic A* algorithm framework is proposed. The behavior and actions of the agent is modeled. A reward function is designed, and an agent-based evacuation framework is constructed. Based on fire simulation data, a dynamic cost network involving parameters such as thermal radiation, smoke visibility, and CO concentration is constructed to achieve spatiotemporally continuous modeling of fire environments. By optimizing the composite cost function through dynamic weight allocation, combined with an improved heuristic function and dynamic search mechanism, local re-planning of evacuation paths and agent-based evacuation pathfinding are achieved. The simulation results show that this method has lower path re-planning response delay and better path safety, demonstrating good adaptability and safety in dynamic hazardous environments.
Recommended Citation
Tian, Ao; Zhang, Jianqin; Wen, Zheng; Hu, Chaonan; Zhao, Hong; and Shen, Bo
(2026)
"Agent-based Pathfinding Method for Indoor Fire Emergency Evacuation,"
Journal of System Simulation: Vol. 38:
Iss.
2, Article 21.
DOI: 10.16182/j.issn1004731x.joss.25-0881
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss2/21
First Page
532
Last Page
543
CLC
TP391.9
Recommended Citation
Tian Ao, Zhang Jianqin, Wen Zheng, et al. Agent-based Pathfinding Method for Indoor Fire Emergency Evacuation[J]. Journal of System Simulation, 2026, 38(2): 532-543.
DOI
10.16182/j.issn1004731x.joss.25-0881
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