Special issue on the dynamics and behaviours of pedestrian groups

被引:0
作者
Tang, Tie-Qiao [1 ]
Nicolas, Alexandre [2 ,3 ]
Lee, Seungjae [4 ]
Daamen, Winnie [5 ]
Song, Ziqi [6 ]
机构
[1] Beijing Univ Aeronaut & Astronaut, Sch Transportat Sci & Engn, Beijing Key Lab Cooperat Vehicle Infrastructure Sy, Beijing, Peoples R China
[2] CNRS, Inst Lumiere Matiere, Villeurbanne, France
[3] Univ Claude Bernard Lyon, Villeurbanne, France
[4] Univ Seoul, Dept Transportat Engn, Seoul, South Korea
[5] Delft Univ Technol, Dept Transport & Planning, Delft, Netherlands
[6] Utah State Univ, Dept Civil & Environm Engn, Logan, UT USA
关键词
Pedestrian flow; dynamics; group; model; simulation;
D O I
10.1080/23249935.2022.2099034
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In the study of pedestrian dynamics, the consideration of group behaviours is essential, as group interaction within crowds is a common phenomenon and significantly influences pedestrian behaviours. This special issue highlights the importance of pedestrian group behaviours and examines the subject using a wide range of methods, such as experiments, modelling, and algorithms. The works comprising this special issue can hence provide ideas for future studies on pedestrian dynamics and can also serve as a long-term reference for modelling pedestrian group behaviours.
引用
收藏
页数:6
相关论文
共 15 条
[1]   Velocity-repulsion model for pedestrian dynamics based on a multi-state modelling framework [J].
Ding, Heng ;
Chen, Juan ;
Ma, Jian ;
Wang, Qiao ;
Shi, Congling .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)
[2]   A deep neural network approach for pedestrian trajectory prediction considering flow heterogeneity [J].
Esfahani, Hossein Nasr ;
Song, Ziqi ;
Christensen, Keith .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)
[3]   An evacuation guidance model for pedestrians with limited vision [J].
Han, Yanbin ;
Liu, Hong ;
Li, Liang .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)
[4]   An experimental study on the movement characteristics of a social group in unidirectional flow [J].
Hu, Yanghui ;
Ren, Xiangxia ;
Zhang, Jun ;
Song, Weiguo .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)
[5]   A systematic review and meta-analysis on the effect social groups have on the egress times of pedestrian crowds [J].
Hu, Yanghui ;
Bode, Nikolai W. F. .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)
[6]   Pedestrian mode identification, classification and characterization by tracking mobile data [J].
Jang, Yoonjung ;
Ku, Donggyun ;
Lee, Seungjae .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)
[7]   Simulating the effect of measurement errors on pedestrian destination choice model calibration [J].
King, Christopher ;
Koltsova, Oksana ;
Bode, N. W. F. .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)
[8]   A pedestrian-based model for simulating COVID-19 transmission on college campus [J].
Li, Chuan-Yao ;
Yin, Jie .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)
[9]   Social group detection based on multi-level consistent behaviour characteristics [J].
Li, Meng ;
Chen, Tao ;
Du, Hao ;
Ma, Na ;
Xi, Xinwei .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)
[10]   A dynamic continuum route choice model for pedestrian flow with mixed crowds [J].
Lin, Z. Y. ;
Zhang, P. ;
Hang, H. L. .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)