文章基本信息

标题：Dynamic model of macro crowd merging based on abnormal pedestrian posture
本地全文：下载
作者：Rongyong Zhao ; Ping Jia ; Yan Wang 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2022
卷号：355
页码：1-6
DOI：10.1051/matecconf/202235503009
语种：English
出版社：EDP Sciences
摘要：Crowd merging is a complex process, and any sudden external or internal disturbance will destroy the stability of the crowd. The occurrence of abnormal behavior will affect the crowd flow process and inevitably affect the stability of the crowd flow system. The position information of the joint points is obtained through the OpenPose algorithm, and the kinematics characteristics of each node are studied. It is judged whether the number of pedestrians in the crowd and the scale of the building scene are greater than the empirical setting value based on engineering statistical data and expert experience. When the number of pedestrians is more than 2,000 and the total area of the passage is more than 2,000 square meters, the appropriate macro-dynamic model is selected. The Aw-Rascle (AR) fluid dynamics model is selected in this study. The joint point information obtained through the OpenPose is combined with the macroscopic fluid dynamics model to construct a macroscopic crowd flow dynamics model based on the pedestrian's abnormal posture.
关键词：Aw-Rascle (AR) model;Crowd merging;OpenPose