EM-T1Reliability Engineering & System Safety2025-12-01第 269 卷，112056-112056高影响力 · 前 10%

When agents learn to think: Large language model-enhanced agent-based modeling for crowd evacuation in disaster scenarios

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关键词

大模型与智能体疏散行为与风险认知 crowd evacuation agent-based modeling large language models disaster evacuation vehicle evacuation agent decision-making parallel computing evacuation simulation disaster preparedness emergency planning contextual reasoning

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Reliability Engineering & System SafetyElsevier

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总被引: 246,344
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引用这篇

YANG S, CEFERINO L, ZHANG Y, et al. When agents learn to think: Large language model-enhanced agent-based modeling for crowd evacuation in disaster scenarios[J]. Reliability Engineering & System Safety, 2025, 269: 112056-112056. DOI:10.1016/j.ress.2025.112056.

著录项

学科: 工学船舶与海洋工程海洋工程
类型: 研究论文
期刊: Reliability Engineering & System Safety
基金资助: National Natural Science Foundation of China Natural Science Foundation of Beijing Municipality Southeast University National Key Research and Development Program of China项目号 52311540150、2023YFC3081300、L231010、52478531
卷期页: 第 269 卷，112056-112056
出版: 2025-12-01
语言: 英语
DOI: 10.1016/j.ress.2025.112056

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