Modeling and Simulation of Crowd Evacuation With Signs at Subway Platform: A Case Study of Beijing Subway Stations
文献类型：期刊论文
| 作者 | Zhou, Min4 ; Dong, Hairong4; Wang, Xiao1,3; Hu, Xiaoming2; Ge, Shichao4
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| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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| 出版日期 | 2022-02-01 |
| 卷号 | 23期号:2页码:1492-1504 |
| ISSN号 | 1524-9050 |
| 关键词 | Public transportation Data models Safety Solid modeling Force Rails Crowd evacuation modeling emergency sign social force model distribution scheme navigational force |
| 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. |
| WOS关键词 | EMERGENCY SIGNS ; ESCAPE ; BEHAVIOR ; FLOW |
| 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 |
| 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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.KTH Royal Inst Technol, Dept Math, SE-10044 Stockholm, Sweden 3.V1Pioneers Inc, Qingdao 266109, Peoples R China 4.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, 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. |
入库方式： OAI收割
来源：自动化研究所
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