Robot-Guided Crowd Evacuation in a Railway Hub Station in Case of Emergencies
Zhou, Min1; Dong, Hairong1; Ge, Shichao1; Wang, Xiao2; Wang, Fei-Yue2
Source PublicationJOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
ISSN0921-0296
2022-04-01
Volume104Issue:4Pages:14
Corresponding AuthorDong, Hairong(hrdong_iart@outlook.com)
AbstractThe 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.
KeywordRobot guided crowd evacuation Modified social force model Railway hub station Robot distribution Cooperative mechanism Emergencies
DOI10.1007/s10846-022-01594-4
WOS KeywordESCAPE
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaComputer Science ; Robotics
WOS SubjectComputer Science, Artificial Intelligence ; Robotics
WOS IDWOS:000777399100002
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48284
Collection复杂系统管理与控制国家重点实验室_平行智能技术与系统团队
Corresponding AuthorDong, Hairong
Affiliation1.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
Recommended Citation
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.
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