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基于梯度提升决策树的方形房间人员疏散建模研究

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发生紧急事件时,特定区域内的人员如何快速有序撤离对人民生命安全起到重要保障作用.针对此问题,本文提出一种基于梯度提升决策树(GBDT)的方形房间人员疏散模型.首先计算各种因素对人员疏散速度的影响占比,分析不同时刻人员空间分布情况.然后建立关于疏散人群速度与时间的关系曲线仿真模型.最后对行人运动规则进行不断优化调整,建立完善可持续优化的人员疏散系统.本文所进行的建模研究对于方型房间下人员疏散具有重要参考意义和指导作用.
Research on Personnel Evacuation Modeling in Rectangular Rooms Based on Gradient Boosting Decision Trees
In the event of an emergency,the rapid and orderly evacuation of people within a specific area plays a crucial role in ensuring the safety of people's lives.This paper proposes a personnel evacuation model for square rooms based on the Gradient Boosting Decision Tree(GBDT)method.The model is trained using existing experimental data on evacuation to calculate the proportion of influence of various factors on evacuation speed.A two-dimensional cellular automata is used to simulate crowd evacuation routes,analyzing the spatial distribution of personnel at different moments under different scenarios.Based on the parameters obtained,a relationship curve simulation model between evacuation speed and time is established.Finally,according to the experimental parameters and the model,the pedestrian movement rules are continuously optimized and adjusted to establish an evacuation system that can be sustainably improved.The modeling study conducted in this paper is of great reference significance and guidance for evacuating personnel from square rooms.

Gradient Boosting Decision Treespersonnel evacuationcellular automata

吕宗昊、徐丽

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枣庄学院信息科学与工程学院,山东枣庄

梯度提升树(GBDT) 人员疏散 元胞自动机

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(20)