Towards future intelligent vehicular network, the machine learning as the promising artificial intelligence tool is widely researched to intelligentize communication and networking functions. In this paper, we provide a comprehensive survey on various machine learning techniques applied to both communication and network parts in vehicular network. To benefit reading, we first give a preliminary on communication technologies and machine learning technologies in vehicular network. Then, we detailedly describe the challenges of conventional techniques in vehicular network and corresponding machine learning based solutions. Finally, we present several open issues and emphasize potential directions that are worthy of research for the future intelligent vehicular network.

中文翻译：

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车载网络机器学习综合调查：技术、应用和挑战

面向未来的智能车联网，机器学习作为一种很有前途的人工智能工具被广泛研究，以实现通信和网络功能的智能化。在本文中，我们对应用于车载网络通信和网络部分的各种机器学习技术进行了全面调查。为了方便阅读，我们首先对车载网络中的通信技术和机器学习技术进行了初步的介绍。然后，我们详细描述了车载网络中传统技术的挑战以及相应的基于机器学习的解决方案。最后，我们提出了几个悬而未决的问题，并强调了未来智能车载网络值得研究的潜在方向。