交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (3): 383-392.DOI: 10.16097/j.cnki.1009-6744.2025.03.034

• 工程应用与案例分析 • 上一篇    

改进的L型通道行人转弯行为仿真模型

郝妍熙*,刘巍,胡华,方勇,刘志钢   

  1. 上海工程技术大学,城市轨道交通学院,上海201620
  • 收稿日期:2025-02-26 修回日期:2025-03-13 接受日期:2025-04-02 出版日期:2025-06-25 发布日期:2025-06-22
  • 作者简介:郝妍熙(1990—),女,甘肃兰州人,讲师,博士。
  • 基金资助:
    国家自然科学基金(52472322, 72371154)。

Improved Simulation Model of Pedestrian Turning Behavior in L-shaped Walking Passages

HAO Yanxi, LIU Wei, HU Hua, FANG Yong, LIU Zhigang   

  1. School of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai 201620, China
  • Received:2025-02-26 Revised:2025-03-13 Accepted:2025-04-02 Online:2025-06-25 Published:2025-06-22
  • Supported by:
    National Natural Science Foundation of China (52472322, 72371154)。

摘要: 行人在交通环境中的转弯行为是行人交通流研究的重要组成部分。本文以L型单向通道中的行人流为研究对象,基于实地实验和模拟仿真研究转弯行人运动机理。首先,依据行人转弯时在不同区域的运动特征,将L型通道划分为4个区域,并考虑不同宽度和不同服务水平下的行人运动特征,改进现有模型的自驱动力方向和通行规则,建立改进的L型通道直角转弯模型。然后,在地铁站直角转弯区及模拟场地采集行人转弯轨迹,分析路径选择、变道位置和转弯位置,并据此标定改进的直角转弯模型参数,搭建行人直角转弯仿真平台。最后,对比分析100条L型直角转弯通道的右转行人轨迹的仿真与实验数据,得到实验轨迹空间和仿真轨迹空间相似度为89.4%,验证了改进模型的准确性和有效性。

关键词: 城市交通, 直角转弯行为, 社会力模型, 行人仿真, 行人流

Abstract: The turning behavior of pedestrians in a traffic environment is an important component of pedestrian traffic flow research. This paper takes the pedestrian flow in an L-shaped one-way passage as the research object and investigates the movement mechanism of turning pedestrians based on field experiments and simulation studies. First, according to the movement characteristics of pedestrians in different areas during turning, the L-shaped passage is divided into four zones. Considering the movement characteristics of pedestrians under different widths and service levels, the self-propulsion direction and movement rules of the existing model are improved, and an improved right-angle turning model for the L-shaped passage is established. Then, the pedestrian turning trajectories are collected in the right-angle turning areas of subway stations and simulated venues. The path selection, lane-changing positions, and turning positions are analyzed, and the parameters of the improved right-angle turning model are calibrated by the analysis on which a pedestrian right-angle turning simulation platform is built. Finally, by comparing the simulation results with experimental data from 100 right-turning pedestrian trajectories in L-shaped right-angle passages, the similarity between the experimental trajectory space and the simulated trajectory space is 89.4%, which verifies the accuracy and effectiveness of the improved model.

Key words: urban traffic, turning behavior, social force model, pedestrian simulation, pedestrian flow

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