论文标题
基于车辆认知互联网（CIOV）的道路质量分析
Road Quality Analysis Based on Cognitive Internet of Vehicles (CIoV)
论文作者
论文摘要
这项研究建议旨在使用认知方法来分析基于新建议的技术（COGNITENT of Dehicle Internet（CIOV））的道路质量。通过使用与自动驾驶汽车收集的数据相对应的大数据，我们可以将认知分析应用于大量运输数据。这个过程可以帮助我们创建有价值的信息，例如大量毫无意义的数据，例如道路质量。在此提案中，我们将重点关注各种商业和商业用途的道路质量。所提出的系统可以用作自动驾驶汽车公司的额外服务或用于普通使用的移动应用程序。结果，该系统可以减少资源的使用，例如自动驾驶汽车的能源消耗。此外，这项技术使下一代自动驾驶应用程序有益于改善其QoS。
This research proposal aims to use cognitive methods to analyze the quality of roads based on the new proposed technology called Cognitive Internet of Vehicles (CIoV). By using Big Data corresponding to the collected data of autonomous vehicles, we can apply cognitive analytics to a huge amount of transportation data. This process can help us to create valuable information such as road quality from an immense volume of meaningless data. In this proposal, we are going to focus on the quality of roads for various business and commercial purposes. The proposed system can be used as an additional service of autonomous car companies or as a mobile application for ordinary usages. As a result, this system can reduce the usage of resources such as energy consumption of autonomous vehicles. Moreover, this technology benefits the next-generation of self-driving applications to improve their QoS.
