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首页> 外文会议>Risk analysis VII: simulation and hazard mitigation amp; Brownfields V: prevention, assessment, rehabilitation and development of brownfield sites >Crowd management using fuzzy logic and G.I.S.
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Crowd management using fuzzy logic and G.I.S.

机译：使用模糊逻辑和G.I.S.进行人群管理

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Our main objective is to design a computer based system to monitor the crowding system so as to avoid crowding disasters. We have proposed a two-step mode. The first step is 'pre-disaster planning' including determination of sensitive locations and space management, evacuation paths using G.I.S. and management related arrangements. The second step is real time analysis of crowds to detect a possible emergency. It contains two modules, the first being a method to determine crowding situations and plan of action, and the second being the determination of the shortest evacuation path for the current area under surveillance. In the fuzzy inference system, used in determining crowding situation, crowd density is determined with the help of a number of pixels and shape of objects. For determining speed and cumulative displacement a new method is named ''determination of speed and displacement from images with help of object characterization'. The shortest path is determined with the help of G.I.S. and the overall crowding situation. We have considered two case studies: 1. Open air theatre: this particular case study was considered to get better understanding of general crowd movement patterns in the absence of crowd management systems and possible sensitive locations. 2. Auditorium: this case study was used to check the applicability of the overall project and to determine an evacuation path network. While applying this case study we checked for results such as accuracy and usability of components of the project such as crowd density determination, fuzzy inference system, Determination of speed and displacement etc., and overall usability.
机译：我们的主要目标是设计一个基于计算机的系统来监视拥挤系统，以避免拥挤灾难。我们提出了一种两步模式。第一步是``灾前规划''，包括确定敏感地点和空间管理，使用G.I.S.和管理相关的安排。第二步是对人群进行实时分析，以发现可能的紧急情况。它包含两个模块，第一个是确定拥挤情况和行动计划的方法，第二个是确定当前监视区域的最短疏散路径。在用于确定拥挤情况的模糊推理系统中，借助多个像素和物体形状确定拥挤密度。为了确定速度和累积位移，一种新方法被称为“借助对象特征确定图像的速度和位移”。最短路径是在G.I.S.和整体拥挤情况。我们考虑了两个案例研究：1.露天剧院：在没有人群管理系统和可能的敏感位置的情况下，考虑使用此特定案例研究可以更好地了解一般人群的运动方式。 2.礼堂：此案例研究用于检查整个项目的适用性并确定疏散路径网络。在应用此案例研究时，我们检查了项目组成部分的准确性和可用性，例如人群密度确定，模糊推理系统，速度和位移的确定等，以及总体可用性。

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