双足运动微观视角下单列行人流建模与仿真研究

doi:10.16097/j.cnki.1009-6744.2024.05.017

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (5): 185-196.DOI: 10.16097/j.cnki.1009-6744.2024.05.017

双足运动微观视角下单列行人流建模与仿真研究

户佐安¹，曾添¹，杜俊¹，魏易东¹，王士博¹，马毅^*2

1. 西南交通大学，交通运输与物流学院，成都 611756；2. 四川大学，灾后重建与管理学院，成都 610065

收稿日期:2024-08-06 修回日期:2024-09-02 接受日期:2024-09-09 出版日期:2024-10-25 发布日期:2024-10-22
作者简介:户佐安(1979- )，男，湖北黄梅人，副教授，博士。
基金资助:
国家自然科学基金(71901156)；四川省自然科学基金(2024NSFSC0183)。

Single-file Pedestrian Flow Simulation Considering Pedestrian Stepping Characteristics in Microscopic Perspective

HU Zuoan¹, ZENG Tian¹, DU Jun1, WEI Yidong¹, WANG Shibo¹, MA Yi^*2

1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China; 2. Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610065, China

Received:2024-08-06 Revised:2024-09-02 Accepted:2024-09-09 Online:2024-10-25 Published:2024-10-22
Supported by:
National Natural Science Foundation of China (71901156)；Natural Science Foundation of Sichuan Province, China (2024NSFSC0183)。

摘要/Abstract

摘要： 为从双足运动的微观视角直接呈现行人的移动特性，本文分析行人连续交替步伐行为的运动机理，建立单列行人流迈步运动模型，模拟行人位置在迈步周期内的非线性变化过程。模型根据行人重心和双足中心相对位置，将每次迈步周期内的迈步过程分为单支撑与双支撑阶段，并根据双足瞬时速度具备的波形时序特性，确定迈步周期内任意时刻的位置坐标。基于单列行人流实验数据，标定单列行人流迈步模型中的相关参数，每个行人根据前向距离确定下一次迈步运动所需的步长与步时，并进一步考虑行人的迈步调整行为，避免与前方行人发生踩踏。模拟仿真结果表明：模型能够较好呈现行人迈步运动的微观特性，并复刻了基本图与时空特性；根据行人迈步速度的波形特征，本文基于模拟结果计算步进动力学特性参数，发现行人在面对拥挤空间时，倾向于采用低步长与低步频的迈步风格；模型呈现人群同步自组织现象，发现全局密度为1.9 ped·m^-1时，同步现象发生概率最高。行人迈步模型的有效建立，可为行人运动状态评估与预测工作提供参考。

关键词: 城市交通, 行人动力学, 迈步运动, 单列流, 模拟仿真

Abstract: To reveal the pedestrians movement characteristics from the microscopic perspective of pedestrian bipedal movement, this paper analyzes the movement mechanism of pedestrians' continuous alternating stepping behavior, establishes a single-file pedestrian flow model simulating stepping motion, and analyzes the nonlinear change process of pedestrian position in the stepping period. The pedestrian stepping process is categorized into a single support stage and a double support stage based on the relative position of the pedestrian's center of gravity and bipedal center. The position coordinates at any given moment in each stepping cycle are determined according to the wave-shaped pattern observed in the instantaneous velocity of pedestrian feet. Based on empirical data, the model considers the adjustment of pedestrians' step length and duration in response to headway to avoid trampling with pedestrians in front. The simulation results indicate that the proposed model effectively captures the micro-stepping characteristics of pedestrians and can replicate fundamental diagrams and space-time diagrams. In addition, this study calculates the stepping dynamic characteristics based on the wave-shaped pattern of pedestrian feet, revealing that pedestrians tend to adopt a low step length and frequency when navigating crowded spaces. Furthermore, it is observed that synchronization phenomena occur most frequently when the global density reaches 1.9 ped · m- 1 . The results indicate that the effective establishment of pedestrian stepping model can provide reference for the evaluation and prediction of pedestrian movement state.

Key words: urban traffic, pedestrian dynamic, stepping motion, single-file flow, simulation

中图分类号:

户佐安, 曾添, 杜俊, 魏易东, 王士博, 马毅. 双足运动微观视角下单列行人流建模与仿真研究[J]. 交通运输系统工程与信息, 2024, 24(5): 185-196.

HU Zuoan , ZENG Tian, DU Jun, WEI Yidong, WANG Shibo, MA Yi. Single-file Pedestrian Flow Simulation Considering Pedestrian Stepping Characteristics in Microscopic Perspective[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(5): 185-196.

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双足运动微观视角下单列行人流建模与仿真研究

Single-file Pedestrian Flow Simulation Considering Pedestrian Stepping Characteristics in Microscopic Perspective

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