摘要
为研究突发事件下人员密集场所中行人通行行为,提出一个2层网络模型模拟人员密集场所多条路径的情景,模型设置密集层和稀疏层,其中稀疏层通行成本较低,用以模拟实际中通行时间较短的路径,密集层通行成本较高,模拟实际通行时间较长的路径。研究表明:系统临界容量随着智能体增加而增加,对稀疏层智能体数量的敏感性更高,且更多的行人倾向于选择稀疏层通行;突发事件的发生将导致系统临界容量的降低,同时在稀疏层发生的中断和降级事故更容易引起整体拥堵;将进入人员密集场所的人数控制在临界值以下,并尽量避免较短路径发生事故,能够在一定程度上避免拥堵的发生。
In order to study pedestrian behavior in crowded places in emergencies,a two-layer network model was proposed to simulate scenario of multiple paths in densely populated places.Dense layer and sparse layer were set in the model,in which traffic cost of sparse layer was lower.It is used to simulate path with shorter travel time in practice,and traffic cost in dense layer was higher,so it can simulate path with longer travel time in practice.The results show that critical capacity of system increases with increase of agents,and it is more sensitive to the number of agents in the sparse layer,and more pedestrians tend to choose sparse layer to pass.Occurrence of emergencies will lead to reduction of critical capacity of system.Meanwhile,interruption and degradation accidents in the sparse layer are more likely to cause the overall congestion.Congestion can be avoided by controlling flow into crowded places below critical value and avoiding accidents on shorter routes as far as possible.
作者
朱伟
王亚飞
张鹏
林天埜
ZHU Wei;WANG Yafei;ZHANG Peng;LIN Tianye(Beijing Research Center or Urban Systems Engineering,Beijing 100035,China;Beijing Academy of Safety Science and Technology,Beijing 430070,China;Beijing Global Safety Technology Co.,Ltd,Beijing 100095)
出处
《中国安全科学学报》
CSCD
北大核心
2021年第7期151-156,共6页
China Safety Science Journal
基金
国家重点研发计划项目(2017YFC0804900)
北京市科学技术研究院改革发展培育项目(PY2020AQ08)
北京市科委项目(Z181100009018010)。
