State-of-the-Art Pedestrian and Evacuation Dynamics
Dong, Hairong4; Zhou, Min4; Wang, Qianling4; Yang, Xiaoxia1; Wang, Fei-Yue2,3
刊名IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
2020-05-01
卷号21期号:5页码:1849-1866
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
ISSN号1524-9050
DOI10.1109/TITS.2019.2915014
通讯作者Zhou, Min(zhoumin@bjtu.edu.cn)
英文摘要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.
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]
WOS关键词SOCIAL FORCE MODEL ; CROWD-BEHAVIOR ; JAMMING TRANSITION ; SELF-ORGANIZATION ; MACROSCOPIC MODEL ; EXIT SELECTION ; ROUTE-CHOICE ; SIMULATION ; FLOW ; DENSITY
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:000532285400003
资助机构Fundamental Research Funds for Central Universities ; Postdoctoral Innovative Talent Supporting Project of China
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/39442]  
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Zhou, Min
作者单位1.Qingdao Univ, Coll Automat & Elect Engn, Qingdao 266071, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Natl Univ Def Technol, Res Ctr Computat Expt & Parallel Syst, Changsha 410073, Peoples R China
4.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, 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.
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