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Construction and application of a simulation optimization model of auxiliary guidance signs in enclosed public places
SIMULATION ( IF 1.6 ) Pub Date : 2024-01-03 , DOI: 10.1177/00375497231216473
Jun Ma 1 , Chunbei Xiao 1 , Jun Hu 1
Affiliation  

Many enclosed public spaces with multiple destinations often feature obstacles, such as columns within the building space and dense crowds, which adversely affect the recognition and guidance of pedestrian sign. To mitigate this issue, enhancing traffic efficiency necessitates the implementation of auxiliary guidance signs. However, experience-based schemes for positioning these signs often require iterative adjustments to achieve the desired effect. Thus, this paper endeavors to address this challenge by analyzing the relationship between obstacles and pedestrians’ visual blind areas. It establishes a mathematical model to describe pedestrian visual perception and its correlation with crowd density and individual visual field function. The model employs the effective aggregation area of the population exceeding a certain density threshold as its primary variable and enhances this variable’s function. Subsequently, it formulates an effect function that yields a substantial improvement in various combinations and permutations of auxiliary guidance signs. To exemplify this research, a large subway transfer hall with multiple destinations serves as a simulation model. The study calculates the optimal combination of auxiliary guidance sign placements that align with the enhancement effect function. Based on this combination, an optimized layout plan is derived, resulting in a significant improvement. The results demonstrate that the auxiliary guidance sign layout scheme proposed in this study markedly enhances traffic efficiency in enclosed public spaces. This research serves as a valuable reference for decision-makers seeking to optimize traffic flow in such spaces.

中文翻译:

封闭公共场所辅助引导标志仿真优化模型的构建与应用

许多具有多个目的地的封闭公共空间往往存在障碍物,例如建筑空间内的柱子和密集的人群,这对人行标志的识别和引导产生不利影响。为了缓解这个问题,提高交通效率需要安装辅助引导标志。然而,基于经验的定位这些标志的方案通常需要迭代调整才能达到预期的效果。因此,本文试图通过分析障碍物与行人视觉盲区之间的关系来应对这一挑战。它建立了一个数学模型来描述行人视觉感知及其与人群密度和个体视野函数的相关性。该模型以超过一定密度阈值的人口有效聚集面积作为主要变量,增强了该变量的功能。随后,它制定了一个效果函数,对辅助引导标志的各种组合和排列产生了实质性的改进。为了举例说明这项研究,以具有多个目的地的大型地铁换乘大厅作为模拟模型。该研究计算了与增强效果函数一致的辅助引导标志放置的最佳组合。基于这种组合,得出了优化的布局方案,从而取得了显着的改进。结果表明,本研究提出的辅助引导标志布局方案显着提高了封闭公共空间的交通效率。这项研究为寻求优化此类空间交通流的决策者提供了宝贵的参考。
更新日期:2024-01-03
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