Knowledge Commons of Institute of Automation，CAS
| State-of-the-Art Pedestrian and Evacuation Dynamics | |
Dong, Hairong1; Zhou, Min1 ; Wang, Qianling1; Yang, Xiaoxia2; Wang, Fei-Yue3,4
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| Source Publication | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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| ISSN | 1524-9050 |
| 2020-05-01 | |
| Volume | 21Issue:5Pages:1849-1866 |
| Corresponding Author | Zhou, Min(zhoumin@bjtu.edu.cn) |
| Abstract | 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. |
| Keyword | 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 |
| WOS Keyword | SOCIAL FORCE MODEL ; CROWD-BEHAVIOR ; JAMMING TRANSITION ; SELF-ORGANIZATION ; MACROSCOPIC MODEL ; EXIT SELECTION ; ROUTE-CHOICE ; SIMULATION ; FLOW ; DENSITY |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | Fundamental Research Funds for Central Universities[2018JBZ002] ; Fundamental Research Funds for Central Universities[2019JBM079] ; Postdoctoral Innovative Talent Supporting Project of China[BX20190029] |
| Funding Organization | Fundamental Research Funds for Central Universities ; Postdoctoral Innovative Talent Supporting Project of China |
| WOS Research Area | Engineering ; Transportation |
| WOS Subject | Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology |
| WOS ID | WOS:000532285400003 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/39443 |
| Collection | 中国科学院自动化研究所 |
| Corresponding Author | Zhou, Min |
| Affiliation | 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 |
| 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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