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Dynamic navigation field in the social force model for pedestrian evacuation

机译:行人疏散的社会力量模型中的动态导航字段

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摘要

This paper presents a generalized walking cost distribution to determine a dynamic navigation field in the social force model for pedestrian evacuation. The local walking cost per unit distance of movement includes the cost associated with travel time and other additional costs incurred by pedestrians to avoid colliding with obstacles in a dynamic environment. In the dynamic navigation field, pedestrians expect to choose an optimal path with the lowest walking cost to reach their target destination reactively based on available instantaneous information. The social force model with the dynamic navigation field is validated by comparing the simulation results with empirical observations. The fundamental diagrams for observations and simulation data agree well, which indicates the effectiveness of the model. Numerical results show that the model with the dynamic navigation field can reproduce typical stages of the dynamics of pedestrian evacuation, such as self-organized arching and queuing phenomena, and can capture the route choice and exit choice behaviors of pedestrians during the evacuation process. Compared to the model with the static navigation field, the model with the dynamic navigation field can reduce the total evacuation time of the room and save the required CPU time for a large group of pedestrians. Furthermore, the strong tendency to avoid local high-density regions (i.e., minimizing collisions) can also reduce the total evacuation time under the same conditions.
机译:本文提出了一种广义的步行成本分配,以确定在行人疏散的社会力量模型中的动态导航场。每单位运动距离的本地步行成本包括与行驶时间相关的成本以及行人为避免在动态环境中与障碍物碰撞而产生的其他额外成本。在动态导航领域,行人期望基于可用的瞬时信息,以最低的步行成本选择一条最优路径,以反应性地到达其目标目的地。通过将仿真结果与实证观察结果进行比较,验证了具有动态导航领域的社会力量模型。观测和模拟数据的基本图非常吻合,这表明该模型的有效性。数值结果表明,具有动态导航场的模型能够再现行人疏散动力学的典型阶段,例如自组织拱门和排队现象,并且能够捕获疏散过程中行人的路线选择和出口选择行为。与具有静态导航字段的模型相比,具有动态导航字段的模型可以减少房间的总疏散时间,并节省大量行人所需的CPU时间。此外,避免局部高密度区域的强烈趋势(即,使碰撞最小化)也可以减少相同条件下的总疏散时间。

著录项

  • 来源
    《Applied Mathematical Modelling》 |2020年第4期|815-826|共12页
  • 作者

  • 作者单位

    Department of Mathematics Southwest University of Science and Technology China;

    Tsinghua Shenzhen International Graduate School Tsinghua University China School of Computing National University of Singapore Singapore Artificial Intelligence Research Center Peng Cheng Laboratory China;

    College of Management Shenzhen University China;

    School of Automotive and traffic Engineering Hefei University of Technology China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Pedestrian evacuation; Dynamic navigation field; Social force model; Reactive dynamic user-equilibrium; Route choice strategies;

    机译:行人疏散;动态导航领域;社会力量模型;反应式动态用户平衡;路线选择策略;

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