Modeling and Simulation of Crowd Evacuation With Signs at Subway Platform: A Case Study of Beijing Subway Stations

doi:10.1109/TITS.2020.3027542

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Modeling and Simulation of Crowd Evacuation With Signs at Subway Platform: A Case Study of Beijing Subway Stations
	Zhou, Min 1; Dong, Hairong 1; Wang, Xiao 3,4; Hu, Xiaoming 2; Ge, Shichao 1
刊名	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2022-02-01
卷号	23 期号:2 页码:1492-1504
关键词	Public transportation Data models Safety Solid modeling Force Rails Crowd evacuation modeling emergency sign social force model distribution scheme navigational force
ISSN号	1524-9050
DOI	10.1109/TITS.2020.3027542
通讯作者	Dong, Hairong(hrdong_iart@outlook.com)
英文摘要	Emergency signage systems provide effective route guidance and evacuation information for pedestrians in case of emergencies such as fire, blackout, and explosion. This paper proposes a modified social force (SF) model to investigate crowd evacuation dynamics taking into account the influence of emergency signs. The perceiving probability model is formulated for the quantitative description of the probability that pedestrians can successfully notice the sign and clearly perceive the guidance information. Simulation experiments and controlled experiments are designed to calibrate the parameters of the proposed model. The effectiveness of the modified SF model is preliminarily verified by comparing the simulation results with experimental data and/or empirical results such as fundamental diagrams and self-organization phenomena. A case study of crowd evacuation simulations at a typical Beijing subway station is conducted to evaluate evacuation performance of three signage distribution schemes, i.e., Maximal Covering (MaxCover), Uniform, and Random, which are proposed by the maximal covering location and empirical approaches, as well as contrasted scheme without emergency signs. The effects of the quantity and distribution of emergency signs on crowd evacuation efficiency are studied quantitatively by simulations. The results show that installing emergency signs can improve evacuation efficiency no matter what distribution scheme is adopted. By choosing an appropriate distribution scheme i.e., MaxCover, the evacuation performance can be further improved and the evacuation time can be significantly reduced.
资助项目	Postdoctoral Innovative Talent Project[BX20190029] ; National Natural Science Foundation of China[61925302] ; China Postdoctoral Science Foundation[2019M660440] ; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University[RCS2019ZK001]
WOS关键词	EMERGENCY SIGNS ; ESCAPE ; BEHAVIOR ; FLOW
WOS研究方向	Engineering ; Transportation
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000750200400066
资助机构	Postdoctoral Innovative Talent Project ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/47352]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Dong, Hairong
作者单位	1.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China 2.KTH Royal Inst Technol, Dept Math, SE-10044 Stockholm, Sweden 3.V1Pioneers Inc, Qingdao 266109, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Min,Dong, Hairong,Wang, Xiao,et al. Modeling and Simulation of Crowd Evacuation With Signs at Subway Platform: A Case Study of Beijing Subway Stations[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2022,23(2):1492-1504.
APA	Zhou, Min,Dong, Hairong,Wang, Xiao,Hu, Xiaoming,&Ge, Shichao.(2022).Modeling and Simulation of Crowd Evacuation With Signs at Subway Platform: A Case Study of Beijing Subway Stations.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,23(2),1492-1504.
MLA	Zhou, Min,et al."Modeling and Simulation of Crowd Evacuation With Signs at Subway Platform: A Case Study of Beijing Subway Stations".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 23.2(2022):1492-1504.