基于雾计算的驾驶行为监测框架的设计
On the design of a Fog computing-based, driving behaviour monitoring framework
摘要：
近年来，汽车制造业的技术进步可能会大大提高安全性，但个人的驾驶行为仍然是一个至关重要的因素，侵略性，缺乏重点和粗心是大多数交通事故的主要原因。5G网络基础设施的即将部署，加上雾计算的出现和物联网（IoT）作为可靠且具有成本效益的服务交付框架的建立，可以为部署准确的驾驶监控解决方案提供手段，该解决方案可用于进一步了解特殊道路行为的根本原因，以及其与驾驶员生理状态的相关性，车辆状况和某些环境参数。本文介绍了雾计算的一些基本属性，以及驾驶行为监测框架的功能要求，其次是其高层次的架构蓝图和原型实现过程的描述。
英文摘要：
Recent technological improvements in vehicle manufacturing may greatly improve safety however, the individuals' driving behaviour still remains a factor of paramount importance with aggressiveness, lack of focus and carelessness being the main cause of the majority of traffic incidents. The imminent deployment of 5G networking infrastructure, paired with the advent of Fog computing and the establishment of the Internet of Things (IoT) as a reliable and cost-effective service delivery framework may provide the means for the deployment of an accurate driving monitoring solution which could be utilized to further understand the underlying reasons of peculiar road behaviour, as well as its correlation to the driver's physiological state, the vehicle condition and certain environmental parameters. This paper presents some of the fundamental attributes of Fog computing along with the functional requirements of a driving behaviour monitoring framework, followed by its high level architecture blueprint and the description of the prototype implementation process.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
