Walking characteristics and collision avoidance strategy in bidirectional pedestrian flow: a study focused on the influence of social groups

Author:

Zhang Bosi,Gao Youmei,Han Yong,Liang Siyi,Chen Qiaolin,Yu Zhihong

Abstract

Abstract The walking characteristics and collision avoidance strategies in bidirectional pedestrian flow with both individuals and groups under three different pedestrian densities were investigated experimentally in the present study. The results showed that pedestrians formed lanes in bidirectional flow, and the lane number basically increased with pedestrian density. In addition, the lane number was positively related to the number of groups in the first row of the two opposite crowds. Compared with the no-group experiments, the walking speed of pedestrians showed less difference in the experiments with groups. The fundamental diagram of the bidirectional pedestrian flow with groups under different pedestrian density conditions was calculated. Three types of collision avoidance strategies, detouring around conflicting pedestrians, passing through the conflicting group in the middle, and group splitting, were summarised based on the experimental results. The statistical results of the three collision avoidance strategies adopted by different size groups under the low, medium, and high pedestrian density conditions were obtained. It was found that the large group was more likely to split into subgroups when they encountered conflicting pedestrians, while the small group was more likely to detour around the conflicting pedestrians. For the same group size, the larger the pedestrian density, the higher the proportion of groups that would choose to split into subgroups during the collision avoidance process.

Publisher

IOP Publishing

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Statistical and Nonlinear Physics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3