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Decentralized intersection management through peer-to-peer technology

机译:通过点对点技术进行分散式路口管理

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In this paper we present two new decentralized algorithms for autonomous intersection management and compare the performance of the algorithms with an established centralized solution. One of the algorithms addresses the problem through an unstructured peer-to-peer approach and the other uses a Distributed Hash Table to distribute knowledge of intersection usage among participating vehicles. We evaluate these algorithms through simulation and by comparing average delay to the performance of a centralized reservation-based algorithm. We find that in times of light congestion the decentralized algorithms perform as well as the centralized approach. During times of moderate or heavy congestion the unstructured peer-to-peer algorithm performs better than the centralized algorithm, and the DHT-based algorithm performs worse.
机译:在本文中,我们介绍了两种用于自治路口管理的新型分散算法,并将这些算法的性能与已建立的集中式解决方案进行了比较。其中一种算法通过非结构化对等方法解决了该问题,另一种算法使用分布式哈希表在参与车辆之间分配路口使用情况的知识。我们通过仿真并通过将平均延迟与基于集中式预留的算法的性能进行比较来评估这些算法。我们发现,在光拥塞的时候,分散算法的性能和集中式方法一样好。在中等或严重拥塞期间,非结构化对等算法的性能优于集中式算法,而基于DHT的算法的性能则较差。

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