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首页> 外文期刊>ISPRS International Journal of Geo-Information >Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents
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Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

机译：开发基于Agent的不确定性地震后仿真系统：一种建议的Agent之间协作方法

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Agent-based modeling is a promising approach for developing simulation tools for natural hazards in different areas, such as during urban search and rescue (USAR) operations. The present study aimed to develop a dynamic agent-based simulation model in post-earthquake USAR operations using geospatial information system and multi agent systems (GIS and MASs, respectively). We also propose an approach for dynamic task allocation and establishing collaboration among agents based on contract net protocol (CNP) and interval-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods, which consider uncertainty in natural hazards information during agents’ decision-making. The decision-making weights were calculated by analytic hierarchy process (AHP). In order to implement the system, earthquake environment was simulated and the damage of the buildings and a number of injuries were calculated in Tehran’s District 3: 23%, 37%, 24% and 16% of buildings were in slight, moderate, extensive and completely vulnerable classes, respectively. The number of injured persons was calculated to be 17,238. Numerical results in 27 scenarios showed that the proposed method is more accurate than the CNP method in the terms of USAR operational time (at least 13% decrease) and the number of human fatalities (at least 9% decrease). In interval uncertainty analysis of our proposed simulated system, the lower and upper bounds of uncertain responses are evaluated. The overall results showed that considering uncertainty in task allocation can be a highly advantageous in the disaster environment. Such systems can be used to manage and prepare for natural hazards.
机译：基于代理的建模是一种开发有针对性的模拟工具的有前途的方法，该工具可用于不同区域的自然灾害，例如在城市搜索和救援（USAR）操作期间。本研究的目的是使用地理空间信息系统和多主体系统（分别为GIS和MAS）在地震后的USAR作战中开发基于动态主体的仿真模型。我们还提出了一种基于合同网协议（CNP）和基于间隔的基于理想解决方案的优先顺序排序技术（TOPSIS）的动态任务分配和代理之间建立协作的方法，该方法考虑了代理期间的自然灾害信息的不确定性' 做决定。通过层次分析法（AHP）计算决策权重。为了实施该系统，模拟了地震环境，并计算了德黑兰第3区的建筑物损坏和许多人受伤的情况：23％，37％，24％和16％的建筑物为轻度，中度，广泛和严重。完全脆弱的类。受伤人数为17,238。在27种情况下的数值结果表明，就USAR操作时间（至少减少13％）和人员死亡人数（至少减少9％）而言，该方法比CNP方法更准确。在我们提出的仿真系统的区间不确定性分析中，不确定性响应的上下限被评估。总体结果表明，在灾难环境中考虑任务分配的不确定性可能会非常有利。此类系统可用于管理自然灾害并为自然灾害做好准备。

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