边界受限交叉行人流的碰撞感知偏转模型

IF 2.2 3区 物理与天体物理 Q2 MECHANICS Journal of Statistical Mechanics: Theory and Experiment Pub Date : 2024-04-17 DOI:10.1088/1742-5468/ad319c
Zhonghao Zhan, Weiguo Song, Jun Zhang
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引用次数: 0

摘要

我们在无碰撞速度模型的基础上提出了一种新的边界受限相交行人流模型,命名为碰撞感知偏转模型(CADM)。在新模型中,行人的移动取决于前方其他行人的位置和速度。行人以自由的速度沿所需方向行走,直到所需方向出现障碍物。当所需方向出现障碍物时,行人倾向于选择偏转角最小的方向。当行人的决定与前方最近邻居的移动发生冲突时,行人会停止移动。比较 CADM 和其他模型,CADM 在模拟过程中的疏散时间与实验时间非常接近。CADM 还成功地再现了边界受限的相交人流中的条纹现象,而这是同类模型难以实现的。CADM 还继承了原始模型的几个优点,即它能再现直线走廊和瓶颈处的相应自组织现象。
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Collision-aware deflection model for boundary-constrained intersecting pedestrian streams
We propose a new model of boundary-constrained intersecting pedestrian flow based on the collision-free velocity model, named the collision-aware deflection model (CADM). The movement of pedestrians in the new model depends on the positions and velocities of other pedestrians ahead. A pedestrian walks in the desired direction at a free speed until an obstacle appears in the desired direction. When there is an obstacle in the desired direction, pedestrians tend to choose the direction with the smallest deflection angle. When the decision of a pedestrian conflicts with the movement of the nearest neighbor in front, the pedestrian stops moving. Comparing CADM with other models, the evacuation time of CADM during the simulation is very close to the time in the experiment. CADM also successfully reproduced the stripe phenomenon in boundary-constrained intersecting pedestrian streams, which was difficult to accomplish with the compared model. CADM also inherits several advantages of the original model, in that it can reproduce the corresponding self-organization phenomena in straight corridors and bottlenecks.
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来源期刊
CiteScore
4.50
自引率
12.50%
发文量
210
审稿时长
1.0 months
期刊介绍: JSTAT is targeted to a broad community interested in different aspects of statistical physics, which are roughly defined by the fields represented in the conferences called ''Statistical Physics''. Submissions from experimentalists working on all the topics which have some ''connection to statistical physics are also strongly encouraged. The journal covers different topics which correspond to the following keyword sections. 1. Quantum statistical physics, condensed matter, integrable systems Scientific Directors: Eduardo Fradkin and Giuseppe Mussardo 2. Classical statistical mechanics, equilibrium and non-equilibrium Scientific Directors: David Mukamel, Matteo Marsili and Giuseppe Mussardo 3. Disordered systems, classical and quantum Scientific Directors: Eduardo Fradkin and Riccardo Zecchina 4. Interdisciplinary statistical mechanics Scientific Directors: Matteo Marsili and Riccardo Zecchina 5. Biological modelling and information Scientific Directors: Matteo Marsili, William Bialek and Riccardo Zecchina
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