Robot-Guided Crowd Evacuation in a Railway Hub Station in Case of Emergencies

doi:10.1007/s10846-022-01594-4

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

	Robot-Guided Crowd Evacuation in a Railway Hub Station in Case of Emergencies
	Zhou, Min 1; Dong, Hairong 1; Ge, Shichao 1; Wang, Xiao 2; Wang, Fei-Yue 2
刊名	JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
	2022-04-01
卷号	104 期号:4 页码:14
关键词	Robot guided crowd evacuation Modified social force model Railway hub station Robot distribution Cooperative mechanism Emergencies
ISSN号	0921-0296
DOI	10.1007/s10846-022-01594-4
通讯作者	Dong, Hairong(hrdong_iart@outlook.com)
英文摘要	The rapid and orderly evacuation of passengers at the railway hub station in case of emergencies is an important issue for railway safety and efficiency. In this paper, a robot-guided passenger evacuation method is proposed to help passengers search evacuation paths and avoid potential risks. The number and initial positions of robots are determined by using a k-means clustering approach. The exit assignment and evacuation paths of robots are calculated by using a hybrid bi-level optimization approach taking into account the cooperative mechanism between robots. Then, a robot-guided crowd evacuation dynamical model is built based on a modified social force model, in which a navigation force is introduced to influence the speed and direction of evacuees. A case study of a typical railway hub station is used to demonstrate the effectiveness of the proposed approach. The scenarios of the mall and platform are designed to verify the evacuation efficiency under different robot distribution schemes. The experimental results prove that setting up robots can effectively reduce evacuation time, and the utilization of exits is more balanced. The proposed optimal scheme shows the best performance in evacuation efficiency, including evacuation time and exit utilization rate, compared to the uniform distribution scheme and no robot scheme.
资助项目	National Natural Science Foundation of China[61925302] ; National Natural Science Foundation of China[62103303] ; State Key Laboratory for Management and Control of Complex Systems[20210104] ; Key Project of China Railway Beijing Bureau Group Co., Ltd[2020AY03]
WOS关键词	ESCAPE
WOS研究方向	Computer Science ; Robotics
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000777399100002
资助机构	National Natural Science Foundation of China ; State Key Laboratory for Management and Control of Complex Systems ; Key Project of China Railway Beijing Bureau Group Co., Ltd
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/48283]
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.Chinese Acad Sci CASIA, Inst Automat, State Key Lab Management & Control Complex Syst S, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Min,Dong, Hairong,Ge, Shichao,et al. Robot-Guided Crowd Evacuation in a Railway Hub Station in Case of Emergencies[J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS,2022,104(4):14.
APA	Zhou, Min,Dong, Hairong,Ge, Shichao,Wang, Xiao,&Wang, Fei-Yue.(2022).Robot-Guided Crowd Evacuation in a Railway Hub Station in Case of Emergencies.JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS,104(4),14.
MLA	Zhou, Min,et al."Robot-Guided Crowd Evacuation in a Railway Hub Station in Case of Emergencies".JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 104.4(2022):14.