Congestion mitigation method for scenic area roads based on bidirectional pedestrian flow optimization and control

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

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-17 DOI:10.1016/j.physa.2025.131055

Yuanyuan Zhang , Liang Li , Yanbin Han , Sijie Niu , Zihao Dong , Qingtao Hou

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引用次数: 0

Abstract

Pedestrian counterflow is one of the main causes of congestion in scenic areas, usually resulting from the improper allocation of bidirectional pedestrian flow on roads. To solve this problem, we propose a bidirectional pedestrian flow optimization strategy aimed at mitigating pedestrian counterflow, increasing pedestrian touring efficiency, and enhancing scenic area utilization. First, two assessment indicators, modified pedestrian traffic efficiency (MPTE) and spatial distribution dispersion (SDD), are introduced to assess road conditions. Then, a pedestrian flow optimization method is presented to adjust the number and direction of pedestrians by optimizing the bidirectional traffic ratios on the road. Finally, we build a pedestrian tour simulation model based on the reciprocal velocity obstacle (RVO) to validate our method. The experimental results indicate that the average tour time of tourists is shortened by 33.70 %, and the road balance is increased by 44.79 %, which provides some suggestions for tourist management in scenic areas.

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基于双向人流优化控制的景区道路拥堵缓解方法

行人逆流是景区拥堵的主要原因之一，通常是由于道路双向人流配置不当造成的。为了解决这一问题，本文提出了一种双向人流优化策略，旨在缓解人流逆流，提高行人游览效率，提高景区利用率。首先，引入修正行人交通效率（MPTE）和空间分布离散度（SDD）两个评价指标对道路状况进行评价；然后，提出了一种行人流优化方法，通过优化道路上的双向交通比例来调整行人的数量和方向。最后，我们建立了一个基于互反速度障碍（RVO）的行人漫游仿真模型来验证我们的方法。实验结果表明，游客的平均游览时间缩短了33.70 %，道路平衡性提高了44.79 %，为景区的游客管理提供了一定的建议。

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.