Paper
9 December 2022 Stability analysis based on a coupled macroscopic pedestrian flow model considering moving obstacles
Rongyong Zhao, Miyuan Li, Cuiling Li, Ping Jia, Wenjie Zhu, Yunlong Ma, Yan Wang
Author Affiliations +
Proceedings Volume 12492, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022); 1249217 (2022) https://doi.org/10.1117/12.2663258
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022), 2022, Wuhan, China
Abstract
In the high-density crowd flow places in public buildings, typical mobile obstacles, such as trolley cases, mobile sweeping trolleys, shuttle trolleys, police patrol cars, etc., carried by passengers bring convenience for passengers to travel, and can also act as typical obstacles that hinder the flow of people. It is easy to block the flow of people, cause the crowd to become unstable, and cause overcrowding and even stampede accidents. To study the influence of moving obstacles on crowd stability, this paper analyzes the spatial and moving characteristics of typical moving obstacles and constructs a motion model of moving obstacles. Furthermore, based on smooth particle hydrodynamics (SPH), a coupled macroscopic pedestrian flow model including moving obstacles and pedestrian flow is proposed. In order to verify the effectiveness of this proposed coupled motion model, this study takes trolley luggage as an example to design and implement a moving obstacle experiment in pedestrian flow, exploring the impact of moving obstacles to the pedestrian flow, further to study the stability of pedestrian flow.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rongyong Zhao, Miyuan Li, Cuiling Li, Ping Jia, Wenjie Zhu, Yunlong Ma, and Yan Wang "Stability analysis based on a coupled macroscopic pedestrian flow model considering moving obstacles", Proc. SPIE 12492, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022), 1249217 (9 December 2022); https://doi.org/10.1117/12.2663258
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KEYWORDS
Motion models

Particles

Safety

Analytical research

Fluid dynamics

Lithium

Motion analysis

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