Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations

doi:10.1109/TITS.2018.2886415

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

	Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations
	Zhou, Min 3; Dong, Hairong 3; Zhao, Yanbo 4; Ioannou, Petros A.1; Wang, Fei-Yue 2,5
刊名	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2019-12-01
卷号	20 期号:12 页码:4476-4487
关键词	Force Dynamics Heuristic algorithms Optimization Rails Public transportation Optimization evacuation leader heuristic algorithm extended maximal covering location method
ISSN号	1524-9050
DOI	10.1109/TITS.2018.2886415
通讯作者	Dong, Hairong(hrdong@bjtu.edu.cn)
英文摘要	The adoption of passenger leaders could make crowd evacuation in urban railway transit (URT) stations more efficient. The number, location, and the actions of the leaders are the most important elements in an evacuation strategy and have a great impact on evacuation efficiency. This paper proposes a hybrid bi-level model to optimize the number and initial locations of leaders as well as the routes of leaders during the evacuation, which explicitly incorporates the passengers' guidance demand and multi-leader coordination mechanism. The leaders' initial locations are generated by solving the maximal covering location problem (upper level model) and their evacuation routes are determined by a co-simulation heuristic approach (lower level model). The social force model and its modifications are used to model the dynamics of common evacuees, leaders, and followers in simulation models. The convergence performance of the proposed co-simulation heuristic approach and the effectiveness of the optimal evacuation strategy have been investigated and demonstrated using a case study of a typical island platform of Beijing's URT station. Three other evacuation strategies are considered for comparison purposes in order to show the influence of the number and initial locations of leaders as well as the multi-leader coordination mechanism during the evacuation process. Our analysis supported by simulations shows the following: 1) the optimal number of leaders exists for a given human cost and guidance demand constraints; 2) the distribution of leaders for maximal covering makes the evacuation of the followers more efficient; and 3) the proposed optimal evacuation strategy has better performance in terms of shorter evacuation time and higher utilization of exits compared with other considered strategies.
资助项目	National Science Foundation through the CPS Project[1545130] ; METRANS ; National Natural Science Foundation of China[61790573]
WOS关键词	PEDESTRIAN EVACUATION ; SIMULATION ; MODEL ; ASSISTANTS
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:000505522400018
资助机构	National Science Foundation through the CPS Project ; METRANS ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/29503]
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.Univ Southern Calif, Ctr Adv Transportat Technol, Dept Elect Engn, Los Angeles, CA 90089 USA 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China 4.Univ Southern Calif, METRANS Transportat Ctr, Dept Elect Engn, Los Angeles, CA 90089 USA 5.Natl Univ Def Technol, Res Ctr Computat Expt & Parallel Syst, Changsha 410073, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Min,Dong, Hairong,Zhao, Yanbo,et al. Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2019,20(12):4476-4487.
APA	Zhou, Min,Dong, Hairong,Zhao, Yanbo,Ioannou, Petros A.,&Wang, Fei-Yue.(2019).Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,20(12),4476-4487.
MLA	Zhou, Min,et al."Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 20.12(2019):4476-4487.