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Modeling and simulation of multi-agent systems for emergency scenarios.

机译:针对紧急情况的多主体系统的建模和仿真。

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摘要

The evacuation behavioral model of human beings requires a more comprehensive approach in emergency situations. This thesis describes the proposed human behavior system that integrates both artificial intelligence and fuzzy logic parameters. Fuzzy logic is used in refining human emotional behavior by including fuzzy features such as stress, panic, smoke and anger. Humans are unpredictable when it comes to making decisions during emergency situations. This unpredictability is due to human behavior characteristics. The incorporation of the human behavioral model through the use of fuzzy parameters brings a sense of reality. This dissertation describes a new approach to model human behavior characteristics and represents them in a goal finding multi-agent environment. This thesis proposes an algorithm for evacuation scenarios based on geometric approach that realistically models the behavior of people using the choice of exit (favorite goal) and sub goals (intermediate goals). The simulation has agents following a safe trajectory and making appropriate decisions to avoid 198 collisions with static elements of the physical environment as well as with other mobile agents. The proposed research tool AvatarSim is developed in Java framework and can be displayed on a web browser. The model is extended to simulate battle field scenarios and airplane evacuation scenarios. The tool can be programmed with models that can be informed by an analysis of evacuation procedures and also by observations of human behavior during a real-time evacuations scenario. This thesis also proposes a fuzzy and neuro-fuzzy application for predicting the probability of an agent to reach its destination when fuzzy behavior characteristics like stress and panic are involved. The fuzzy system allows easy encoding of expert knowledge as a set of rules. The validation of the model was done through evacuation experimental studies performed at Wayne State University for comparison of proposed AvatarSim model predictions with reliable information from a real time evacuation drill. The results from the study prove that the evacuation time and flow rate of people were comparatively similar for AvatarSim when compared to real-time evacuation drill.
机译:在紧急情况下,人类的疏散行为模型需要更全面的方法。本文描述了拟议的人类行为系统,该系统集成了人工智能和模糊逻辑参数。模糊逻辑用于通过包括压力,恐慌,冒烟和愤怒等模糊特征来完善人类的情感行为。在紧急情况下做出决策时,人类是无法预测的。这种不可预测性是由于人类行为特征造成的。通过使用模糊参数来合并人类行为模型会带来一种现实感。本文介绍了一种新的建模人类行为特征的方法,并在目标发现多主体环境中将其表示出来。本文提出了一种基于几何方法的疏散场景算法,该算法使用出口(最喜欢的目标)和次要目标(中间目标)的选择对人的行为进行现实建模。该模拟使代理遵循安全轨迹并做出适当的决策,以避免与物理环境的静态元素以及与其他移动代理发生198次冲突。拟议的研究工具AvatarSim是在Java框架中开发的,可以显示在Web浏览器上。扩展该模型以模拟战场场景和飞机撤离场景。该工具可以使用模型编程,该模型可以通过疏散程序的分析以及实时撤离场景中对人类行为的观察来告知。本文还提出了一种模糊和神经模糊的应用程序,用于在涉及诸如压力和恐慌之类的模糊行为特征时预测人员到达目的地的可能性。模糊系统可以轻松地将专家知识编码为一组规则。该模型的验证是通过在韦恩州立大学进行的疏散实验研究完成的,目的是将建议的AvatarSim模型预测与实时疏散演练的可靠信息进行比较。研究结果证明,与实时疏散演练相比,AvatarSim的疏散时间和人员流率相对相似。

著录项

  • 作者

    Sharma, Sharad.;

  • 作者单位

    Wayne State University.;

  • 授予单位 Wayne State University.;
  • 学科 Engineering Robotics.; Artificial Intelligence.; Computer Science.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 215 p.
  • 总页数 215
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论 ; 自动化技术、计算机技术 ;
  • 关键词

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