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Multi-Agent Navigation of a Multi-Storey Parking Garage via Game Theory

机译:多层停车库通过博弈论的多功能器导航

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Intelligent autonomous vehicles navigating in a smart city environment need to find a parking spot, and often resort to multi-storey parking facilities. The task of efficiently using parking resources is at odds with the competitive nature of autonomous vehicles operating in a selfish way. In this paper, we model the problem through game theory and we evaluate the efficiency of a distributed decision mechanism. At the same time, we also gain insight on the complexity of identifying efficient solutions and hint that the overall problem is difficult to solve without compromising the inherent selfish objective of each individual vehicle. We also propose some distributed simulation scenarios to capture some aspects of the competition, thereby suggesting possible further analytical studies.
机译:在智能城市环境中导航的智能自治车辆需要查找停车位,并且经常抵御多层停车设施。 有效地使用停车资源的任务是与自主方式运作的自治车辆的竞争性。 在本文中,我们通过博弈论模拟了问题的问题,我们评估了分布式决策机制的效率。 与此同时,我们还能深入了解识别有效解决方案的复杂性,并提示整体问题难以解决,而不会影响每个单独车辆的固有自私目标。 我们还提出了一些分布式模拟场景来捕获竞争的某些方面,从而提出可能的进一步分析研究。

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