State-of-the-Art Pedestrian and Evacuation Dynamics

doi:10.1109/TITS.2019.2915014

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	State-of-the-Art Pedestrian and Evacuation Dynamics
	Dong, Hairong 1; Zhou, Min1 ; Wang, Qianling 1; Yang, Xiaoxia 2; Wang, Fei-Yue3,4
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN	1524-9050
	2020-05-01
卷号	21 期号:5 页码:1849-1866
通讯作者	Zhou, Min(zhoumin@bjtu.edu.cn)
摘要	This paper provides a critical review on the state-of-the-art pedestrian and evacuation dynamics so as to comprehensively comprehend the motion behaviors of pedestrians from observations to simulation aspects. Types of typical data collection methods, namely the field survey, the controlled experiment, and the animal experiment, are classified, and the connections and differences of these three observation methods are explored. Pedestrians' complex behaviors characterized by the self-organization phenomena and movement data characterized by the fundamental diagram are then studied after the data collections, which can be used to calibrate and validate the pedestrian models. The mathematical models for pedestrian dynamics from both tactical level and operational level are also highlighted. The simulation data produced by the mathematical models could further reproduce pedestrian behaviors during the observations and contribute to decision makings for improving the evacuation efficiency. The applications of pedestrian models for behavior analysis, evacuation simulation, and layout design are also presented. Some challenges and future directions in the pedestrian and evacuation dynamics are also put forward. Findings presented in this study are helpful for researchers who want to understand the pedestrian and evacuation dynamics and to perform further research in this field.
关键词	Mathematical model Data collection Data models Analytical models Computational modeling Vehicle dynamics Dynamics Pedestrian dynamics evacuation dynamics data collection mathematical modelling fundamental diagram
DOI	10.1109/TITS.2019.2915014
关键词[WOS]	SOCIAL FORCE MODEL ; CROWD-BEHAVIOR ; JAMMING TRANSITION ; SELF-ORGANIZATION ; MACROSCOPIC MODEL ; EXIT SELECTION ; ROUTE-CHOICE ; SIMULATION ; FLOW ; DENSITY
收录类别	SCI
语种	英语
资助项目	Fundamental Research Funds for Central Universities[2018JBZ002] ; Fundamental Research Funds for Central Universities[2019JBM079] ; Postdoctoral Innovative Talent Supporting Project of China[BX20190029]
项目资助者	Fundamental Research Funds for Central Universities ; Postdoctoral Innovative Talent Supporting Project of China
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000532285400003
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：53[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/39443
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Zhou, Min
作者单位	1.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China 2.Qingdao Univ, Coll Automat & Elect Engn, Qingdao 266071, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Natl Univ Def Technol, Res Ctr Computat Expt & Parallel Syst, Changsha 410073, Peoples R China
推荐引用方式 GB/T 7714	Dong, Hairong,Zhou, Min,Wang, Qianling,et al. State-of-the-Art Pedestrian and Evacuation Dynamics[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2020,21(5):1849-1866.
APA	Dong, Hairong,Zhou, Min,Wang, Qianling,Yang, Xiaoxia,&Wang, Fei-Yue.(2020).State-of-the-Art Pedestrian and Evacuation Dynamics.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,21(5),1849-1866.
MLA	Dong, Hairong,et al."State-of-the-Art Pedestrian and Evacuation Dynamics".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 21.5(2020):1849-1866.