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Towards Reasoning Vehicles: A Survey of Fuzzy Logic-Based Solutions in Vehicular Networks

机译：面向推理车辆：车辆网络中基于模糊逻辑的解决方案的调查

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摘要

Vehicular networks and their associated technologies enable an extremely varied plethora of applications and therefore attract increasing attention from a wide audience. However, vehicular networks also have many challenges that arise mainly due to their dynamic and complex environment. Fuzzy Logic, known for its ability to deal with complexity, imprecision, and model non-deterministic problems, is a very promising technology for use in such a dynamic and complex context. This article presents the first comprehensive survey of research on Fuzzy Logic approaches in the context of vehicular networks, and provides fundamental information which enables readers to design their own Fuzzy Logic systems in this context. As such, this article describes the Fuzzy Logic concepts with emphasis on their implementation in vehicular networks, includes classification and thorough analysis of the Fuzzy Logic-based solutions in vehicular networks, and discusses how Fuzzy Logic could be employed in the context of some of the key research directions in the 5G-enabled vehicular networks.
机译：车载网络及其相关技术可实现多种多样的应用，因此吸引了越来越多的受众关注。但是，车载网络也面临许多挑战，这主要是由于其动态和复杂的环境。模糊逻辑以处理复杂性，不精确性和对非确定性问题建模的能力而闻名，是一种在这种动态和复杂环境中使用的非常有前途的技术。本文首次对车辆网络环境中的模糊逻辑方法进行了全面的研究，并提供了基础信息，使读者可以在这种情况下设计自己的模糊逻辑系统。因此，本文重点介绍了模糊逻辑的概念，重点介绍了它们在车载网络中的实现，包括对车载网络中基于模糊逻辑的解决方案进行分类和全面分析，并讨论了如何在某些网络环境中采用模糊逻辑。支持5G的车载网络中的关键研究方向。

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