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      A game theoretical modeling and simulation framework for the integration of unmanned aircraft systems in to the national airspace

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      Author(s)
      Musavi, Negin
      Tekelioğlu, K. B.
      Yıldız, Yıldıray
      Güneş, Kerem
      Onural, Deniz
      Date
      2016
      Source Title
      Proceedings of the AIAA SciTech Forum, 2016
      Publisher
      AIAA
      Pages
      1 - 11
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      187
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      193
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      Abstract
      The focus of this paper is to present a game theoretical modeling and simulation frame- work for the integration of Unmanned Aircraft Systems (UAS) into the National Airspace system (NAS). The problem of predicting the outcome of complex scenarios, where UAS and manned air vehicles co-exist, is the research problem of this work. The fundamental gap in the literature in terms of developing models for UAS integration into NAS is that the models of interaction between manned and unmanned vehicles are insufficient. These models are insufficient because a) they assume that human behavior is known a priori and b) they disregard human reaction and decision making process. The contribution of this paper is proposing a realistic modeling and simulation framework that will fill this gap in the literature. The foundations of the proposed modeling method is formed by game theory, which analyzes strategic decision making between intelligent agents, bounded rationality concept, which is based on the fact that humans cannot always make perfect decisions, and reinforcement learning, which is shown to be effective in human behavior in psychology literature. These concepts are used to develop a simulator which can be used to obtain the outcomes of scenarios consisting of UAS, manned vehicles, automation and their interactions. An analysis of the UAS integration is done with a specifically designed scenario for this paper. In the scenario, a UAS equipped with sense and avoid algorithm, moves along a predefined trajectory in a crowded airspace. Then the effect of various system parameters on the safety and performance of the overall system is investigated.
      Keywords
      Behavioral research
      Decision making
      Decision theory
      Game theory
      Integration
      Intelligent agents
      Reinforcement learning
      Social sciences
      Unmanned vehicles
      Vehicles
      Bounded rationality
      Decision making process
      Game theoretical models
      National air spaces
      National airspace system
      Research problems
      Strategic decision making
      Unmanned aircraft system
      Unmanned aerial vehicles (UAV)
      Permalink
      http://hdl.handle.net/11693/37523
      Published Version (Please cite this version)
      https://doi.org/10.2514/6.2016-1001
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      • Department of Mechanical Engineering 288
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