Modeling and simulation of pedestrian turning behavior at campus stair landings with retrograde movement

IF 3.1 3区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-09-26 DOI:10.1016/j.physa.2025.131012

Chuan-Yao Li , Xin-Hui Li , Liang Chen

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引用次数: 0

Abstract

In order to study the turning dynamics behavior of pedestrians at the turning landing of campus stairs, this study conducts behavioral analysis based on video data in real-world environments and establishes a hexagonal cellular automaton (HCA) model. The model integrates the pedestrians’ circular motion preference at the landing and the avoidance tendency for retrograde pedestrians. Numerical simulations confirm the model’s ability to reproduce observed behaviors. Simulations of on-campus scenarios reveal that retrograde behavior alters both the routes and passage times of forward pedestrians compared to one-way scenarios. Its effects vary by location and density, sometimes aiding and other times hindering forward pedestrian movement in terms of travel time, etc. In addition, simulations of high-density scenarios showed that retrograde behavior accelerates pedestrian pileups and significantly increases the risk of safety accidents. This study helps to deepen the understanding of the micro-mechanisms of pedestrian behavior at stair turning landings and provides theoretical support for campus safety management.

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具有逆行运动的校园楼梯平台行人转弯行为建模与仿真

为了研究校园楼梯转弯平台处行人的转弯动力学行为，本研究基于真实环境下的视频数据进行行为分析，建立六边形元胞自动机（HCA）模型。该模型综合了行人在着陆时的圆周运动偏好和对逆行行人的回避倾向。数值模拟证实了该模型重现观测行为的能力。校园场景的模拟表明，与单向场景相比，逆行行为改变了向前行人的路线和通行时间。它的影响因地点和密度而异，有时会在行走时间等方面帮助行人前进，有时则会阻碍行人前进。此外，高密度场景的模拟表明，逆行行为加速了行人堆积，显著增加了安全事故的风险。本研究有助于加深对楼梯转弯平台行人行为微观机制的理解，为校园安全管理提供理论支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physica A: Statistical Mechanics and its Applications 物理-物理：综合

CiteScore

7.20

自引率

9.10%

发文量

852

审稿时长

6.6 months

期刊介绍： Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.