Guided Crowd Evacuation:Approaches and Challenges

作     者：Min Zhou Hairong Dong Petros A.Ioannou Yanbo Zhao Fei-Yue Wang 

作者机构：the State Key Laboratory of Rail Traffic Control and SafetyBeijing Jiaotong UniversityBeijing 100044China the Department of Electrical EngineeringUniversity of Southern CaliforniaLos AngelesCA 90089-2560 USA the Center for Advanced Transportation TechnologiesUniversity of Southern CaliforniaLos AngelesCA 90089 USA the State Key Laboratory of Management and Control for Complex SystemsInstitute of AutomationChinese Academy of SciencesBeijing 100190 the Research Center of Computational Experiments and Parallel Systemsthe National University of Defense TechnologyChangsha 410073China 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2019年第6卷第5期

页      面：1081-1094页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 

基　　金：supported jointly by the State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University(RCS2019ZK001) Fundamental Research Funds for Central Universities(2019JBM079) Postdoctoral Innovative Talent Project(BX20190029) 

主　　题：Auxiliary equipment evacuation guidance system (EGS) guided crowd evacuation leader signage 

摘      要：Evacuation leaders and/or equipment provide route and exit information for people and guide them to the expected destinations, which could make crowd evacuation more efficient in case of emergency. The purpose of this paper is to provide an overview of recent advances in guided crowd evacuation. Different guided crowd evacuation approaches are classified according to guidance approaches and technologies. A comprehensive analysis and comparison of crowd evacuation with static signage, dynamic signage, trained leader, mobile devices, mobile robot and wireless sensor networks are presented based on a single guidance mode perspective. In addition, the different evacuation guidance systems that use high-tech means such as advanced intelligent monitoring techniques, AI techniques, computer technology and intelligent inducing algorithms are reviewed from a system’s perspective. Future researches in the area of crowd evacuation are also discussed.