基于智能体的朝觐人群管理

Afnan Alazbah, B. Zafar
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引用次数: 7

摘要

每年,来自世界各地的近200万穆斯林朝圣者来到麦加进行朝觐,这是伊斯兰教的第五大支柱。朝圣者的人数每年都在增加,这引发了人们对如何管理如此庞大的人群以及如何防止有害事件或人群拥堵灾难的担忧。当局已经采取了一些措施来维持人群的自由流动;然而,他们仍然面临困难。虽然已经进行了许多研究,以促进在麦加有效和高效的人群管理,但几乎没有一项研究集中在Rami AlJamarat仪式期间的人群运动,这是多年来大多数伤亡事件发生的时间。没有一项研究提出在不改变路径当前结构的情况下直接控制人群运动的解决方案。这项研究提出了一种解决方案,可以在不改变结构的情况下防止Rami Al-Jamarat道路上的拥堵,它使用现场人群图像来确定适当的控制信号,然后以彩色灯光的形式直接显示给朝圣者。为了证明该解决方案的结果,使用基于智能体的建模平台进行了仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pilgrimage (HAJJ) Crowd Management Using Agent-Based Method
Each year, nearly two million Muslim pilgrims from all over the world come to Mecca to perform Hajj, which is the fifth pillar of Islam. The number of pilgrims increases every year, raising concerns regarding how to manage such huge crowds and how to prevent harmful incidents or crowd congestion disasters. The authorities have taken several steps to maintain free-flowing crowds; however, they continue to face difficulties. While numerous studies have been conducted to promote effective and efficient crowd management in Mecca, almost none of them have focused on crowd movements during the Rami AlJamarat ritual, which is when most of the causalities have occurred over the years. None of the studies proposed solutions to directly control the crowd movement without changing the path’s current structure. This study proposes a solution to prevent congestion at the Rami Al-Jamarat path without the need to change the structure, and it uses live crowd images to determine proper control signals that are then displayed directly to pilgrims as coloured lights. To demonstrate the results of this solution, a simulation is presented using an agent-based modelling platform.
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