CASIA OpenIR
State-of-the-Art Pedestrian and Evacuation Dynamics
Dong, Hairong1; Zhou, Min1; Wang, Qianling1; Yang, Xiaoxia2; Wang, Fei-Yue3,4
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN1524-9050
2020-05-01
Volume21Issue:5Pages:1849-1866
Corresponding AuthorZhou, Min(zhoumin@bjtu.edu.cn)
AbstractThis 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.
KeywordMathematical model Data collection Data models Analytical models Computational modeling Vehicle dynamics Dynamics Pedestrian dynamics evacuation dynamics data collection mathematical modelling fundamental diagram
DOI10.1109/TITS.2019.2915014
WOS KeywordSOCIAL FORCE MODEL ; CROWD-BEHAVIOR ; JAMMING TRANSITION ; SELF-ORGANIZATION ; MACROSCOPIC MODEL ; EXIT SELECTION ; ROUTE-CHOICE ; SIMULATION ; FLOW ; DENSITY
Indexed BySCI
Language英语
Funding ProjectFundamental Research Funds for Central Universities[2018JBZ002] ; Fundamental Research Funds for Central Universities[2019JBM079] ; Postdoctoral Innovative Talent Supporting Project of China[BX20190029]
Funding OrganizationFundamental Research Funds for Central Universities ; Postdoctoral Innovative Talent Supporting Project of China
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000532285400003
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/39443
Collection中国科学院自动化研究所
Corresponding AuthorZhou, Min
Affiliation1.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
Recommended Citation
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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