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评估火灾场景下铁路运输枢纽疏散的地下空间:虚拟现实与基于代理的模拟相遇

Zhilu Yuan¹, Shenyao Lin², Zixuan Mao³

¹State Key Laboratory of Subtropical Building and Urban Science, Shenzhen University, Shenzhen 518060, China; School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.

Accident; analysis and prevention

|January 9, 2026

概括

这项研究通过模拟地下道的火灾来提高城市铁路运输安全. 虚拟现实实验和基于代理的建模优化了选择性门打开 (SDO) 策略,以实现更快,更安全的疏散.

科学领域:

运输工程运输工程
人类因素工程人类因素工程
计算社会科学计算社会科学

背景情况:

城市铁路运输扩张带来了安全挑战,特别是在人口密度高的枢纽,基础设施老化和拥挤.
地下交通枢纽的火灾造成了关键的疏散瓶,原因是狭窄的空间和复杂的救援环境.
现有的疏散研究方法缺乏现实性和适应动态场景的适应性,特别是优化选择性门打开 (SDO) 策略.

研究的目的:

开发一个高保真度的虚拟环境,用于模拟地下运输道中的紧急情况.
根据不同的SDO策略收集和分析参与者疏散轨迹和眼睛跟踪数据.
通过使用基于代理的模拟,在各种紧急场景中量化评估SDO性能.

主要方法:

开发了一个高保真度的虚拟环境,复制地下交通道的火灾紧急情况.
进行了一个虚拟现实 (VR) 实验,以收集疏散轨迹和眼睛跟踪数据.
利用基于代理的模拟,根据VR实验数据来评估SDO策略.

主要成果:

在模拟疏散过程中,行人在不同空间区域表现出不同的疏散速度和凝视模式.
参与者对不同兴趣领域 (AOI) 的视觉感知尺度显示出显著的差异.
基于代理的模拟显示,SDO的有效性取决于场景,受乘客数量和安全因素权重的影响.

结论:

该研究提供了一种结合VR和基于代理的建模来实现现实的疏散研究的新方法.
研究结果强调了在紧急情况下行人行为和感知的动态性质.
优化的SDO策略可以显著提高城市轨道交通系统的疏散效率和安全性.

关键词:

基于代理的模拟模型群众的动态群众的动态凝视模式凝视模式步行者撤离行动步行者撤离行动铁路交通枢纽是铁路交通枢纽.虚拟现实虚拟现实就是虚拟现实.

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