地铁车站大客流人员疏散策略研究数据集

基于社会力模型构建客流疏散仿真模型的方法建立案例仿真模型，并运用AnyLogic软件设置不同的参数来模拟在1号线车公庙站大客流应急状态下的人员疏散情况，再调整不同实验场景来观察乘客的应急疏散情况，记录疏散时间和疏散人数，最后进行对比分析。数据量约500MB。

A case simulation model for passenger flow evacuation was constructed based on the Social Force Model. Subsequently, the AnyLogic software was employed to configure various parameters to simulate the passenger evacuation scenario under the large passenger flow emergency condition at Chegongmiao Station on Line 1. Different experimental scenarios were then adjusted to observe the emergency evacuation status of passengers, with the evacuation duration and the number of evacuated passengers being recorded. Finally, comparative analysis was performed. The total dataset size is approximately 500 MB.

搜集汇总

背景与挑战

背景概述

该数据集基于社会力模型构建客流疏散仿真模型，使用AnyLogic软件模拟深圳地铁1号线车公庙站在大客流应急状态下的人员疏散情况，记录疏散时间和疏散人数以进行对比分析，数据量约500MB。数据集由胡明伟创建，深圳大学发布，属于国家重点研发计划项目，旨在支持地铁车站疏散策略研究。