汽车互联网的知识发展轨迹 基于主要路径的域名 分析
Tang-Min Hsieh1, Kai-Ying Chen2
1College of Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, Taiwan.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
关于汽车互联网 (IoV) 的研究显示了通信协议和安全等关键领域. 新兴主题包括人工智能,边缘计算和5G/6G,推动智能交通领域的创新.
科学领域:
- 运输技术 运输技术 运输技术
- 计算机网络是计算机网络.
- 无线通信是一种无线通信.
背景情况:
- 车辆互联网 (IoV) 将物联网 (IoT) 原则集成到运输网络中.
- IoV系统包括传感器,通信,自动化和用于车辆连接的数据处理.
- 了解IoV研究趋势对于推进智能交通系统至关重要.
研究的目的:
- 通过参考资料分析,研究汽车互联网 (IoV) 的研究轨迹.
- 确定 IoV 中的核心研究领域,新兴主题和未来方向.
主要方法:
- 使用主要路径分析 (MPA) 来追踪 IoV 研究的演变.
- 引用网络生成和分析使用来自Web of Science数据库的数据进行.
- 用集群分析和数据挖掘技术来确定研究主题.
主要成果:
- 确定的主要研究领域包括媒体访问控制,车辆到车辆 (V2V) 通信和6G.
- 突出的主题包括无线通道,安全,资源配置,深度学习和边缘计算.
- 新兴领域包括区块链,人工智能,云计算,车辆动态和5G/6G通信.
结论:
- 已识别的新兴主题有望推动 IoV 技术的创新.
- 预计IoV的进步将对智能交通和智能城市做出重大贡献.
- 该研究为未来的IoV研究方向提供了洞察和预测.
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