Microscopic events under high-density condition in uni-directional pedestrian flow experiment

被引:10
|
作者
Jin, Cheng-Jie [1 ,2 ]
Jiang, Rui [3 ]
Wei, Wei [1 ,2 ]
Li, Dawei [1 ,2 ]
Guo, Ning [4 ]
机构
[1] Southeast Univ China, Jiangsu Key Lab Urban ITS, Nanjing 210096, Jiangsu, Peoples R China
[2] Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing 210096, Jiangsu, Peoples R China
[3] Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, Beijing 100044, Peoples R China
[4] Univ Sci & Technol China, Sch Engn Sci, Hefei 230026, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Pedestrian flow; Uni-directional flow; Experiment; Events; Mobile phone; Individual behavior; JAMMING TRANSITION; COUNTER FLOW; FUNDAMENTAL DIAGRAM; CELLULAR-AUTOMATON; SIMULATION; DYNAMICS;
D O I
10.1016/j.physa.2018.04.030
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In order to investigate the pedestrian behaviors under high-density condition, we organize one experiment with 278 pedestrians, and the global density as high as 9 ped/(m(<^>)2) is reached. The experiment is filmed by one unmanned aerial vehicle (UAV). In the experimental video, we find many interesting microscopic events. They can be categorized into two types: the interactions with the boundaries (Type A) and the absentmindedness (Type B). Among them, "the staffs arrange the stools" (Event A1) and "the pedestrians play with mobile phones" (Event B1) can be measured and evaluated. We find the time series data of Event A1 and B1 have strong relationship with the evolution of pedestrian flow. The results in hyper-congested state and that in over-congested state are qualitatively different, and the critical density is about 8 ped/(m(<^>)2), At the same time, the averaged results of both Event A1 and B1 qualitatively change at about 6 ped/(m(<^>)2), which is the critical density between over-congested state and congested state. Why different pedestrian flow data have different maximum densities also can be explained by this critical value. Therefore, the bridge between pedestrian dynamics and individual pedestrian's behaviors is built in this study. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:237 / 247
页数:11
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